Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856446
Rahul Manoj, V. R. Kiran, P. Nabeel, M. Sivaprakasam, J. Joseph
Reflections of arterial blood pulse waves have a pivotal role in the equilibrium of the vasculature. Elevated levels of wave reflections cause an increase in pulse pressure and pulse propagating speeds, exacerbating cardiovascular risk. Quantification of reflection markers is either based on augmentation index or reflection magnitude (RM) and reflection index (RI), both derived from wave separation analysis (WSA). Simultaneous measurement of pressure and flow velocity from the same arterial site is a requirement for WSA and has its practical challenges. Subsequently, simplified WSA based on modelling flow is proposed. This work explores the feasibility of using multi-Gaussian decomposition (MGD) of diameter scaled pressure waveform to perform a WSA and quantify the reflection markers. The diameter waveforms are obtained using an A-mode ultrasound device (ARTSENS®). The decomposed pressure signals scaled from diameter waveforms (or Gaussians) are uniquely combined to yield a forward and backward wave. The reflection markers derived from MGD based WSA are then compared with the clinically relevant stiffness markers and with age. The study was conducted on 110 healthy subjects (60 males and 50 females). A moderately significant correlation $(mathrm{r} > 0.51,mathrm{p} < 0.001)$ was obtained for RM and RI when compared with stiffness markers ($beta$, Ep, AC, PWV and AIx). The highest correlation was observed for RM versus Ep $(mathrm{r}= 0.602, mathrm{p} < 0.001)$, followed by $beta$ and PWV. The correlation in reflection markers with age was captured with $mathrm{r}=0.51, mathrm{p} < 0.001$. A change of 25.2% and 15.4% were observed for the group average RM and RI, respectively, among normotensive and hypertensive subjects in this cohort. The proposed MGD model has the potential to explore the central arterial biomechanics from a diameter or pressure waveform. The variations in reflection markers with stiffness and age derived using the proposed WSA approach were faithfully captured. The flow-independent WSA, combined with a field-deployable measurement device like ARTSENS®, has the potential to conduct large scale vascular screenings in a resource-limited setting.
{"title":"Assessment of Arterial Reflection Markers using an A-Mode Ultrasound Device","authors":"Rahul Manoj, V. R. Kiran, P. Nabeel, M. Sivaprakasam, J. Joseph","doi":"10.1109/MeMeA54994.2022.9856446","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856446","url":null,"abstract":"Reflections of arterial blood pulse waves have a pivotal role in the equilibrium of the vasculature. Elevated levels of wave reflections cause an increase in pulse pressure and pulse propagating speeds, exacerbating cardiovascular risk. Quantification of reflection markers is either based on augmentation index or reflection magnitude (RM) and reflection index (RI), both derived from wave separation analysis (WSA). Simultaneous measurement of pressure and flow velocity from the same arterial site is a requirement for WSA and has its practical challenges. Subsequently, simplified WSA based on modelling flow is proposed. This work explores the feasibility of using multi-Gaussian decomposition (MGD) of diameter scaled pressure waveform to perform a WSA and quantify the reflection markers. The diameter waveforms are obtained using an A-mode ultrasound device (ARTSENS®). The decomposed pressure signals scaled from diameter waveforms (or Gaussians) are uniquely combined to yield a forward and backward wave. The reflection markers derived from MGD based WSA are then compared with the clinically relevant stiffness markers and with age. The study was conducted on 110 healthy subjects (60 males and 50 females). A moderately significant correlation $(mathrm{r} > 0.51,mathrm{p} < 0.001)$ was obtained for RM and RI when compared with stiffness markers ($beta$, Ep, AC, PWV and AIx). The highest correlation was observed for RM versus Ep $(mathrm{r}= 0.602, mathrm{p} < 0.001)$, followed by $beta$ and PWV. The correlation in reflection markers with age was captured with $mathrm{r}=0.51, mathrm{p} < 0.001$. A change of 25.2% and 15.4% were observed for the group average RM and RI, respectively, among normotensive and hypertensive subjects in this cohort. The proposed MGD model has the potential to explore the central arterial biomechanics from a diameter or pressure waveform. The variations in reflection markers with stiffness and age derived using the proposed WSA approach were faithfully captured. The flow-independent WSA, combined with a field-deployable measurement device like ARTSENS®, has the potential to conduct large scale vascular screenings in a resource-limited setting.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125241616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856514
A. Mencattini, P. Casti, J. Filippi, M. D’Orazio, Sara Cardarelli, G. Antonelli, E. Martinelli
The process of programmable cell death, i.e., apoptosis, physiologically occurs during development and aging and as a homeostatic mechanism to maintain cell populations in tissues. Apoptosis also happens as a defense mechanism in immune reactions or when cells are damaged by disease or external stimuli (drugs). Due to its complexity and the fact that apoptosis fate resolves in a very short time (a few hours in general), apoptosis mechanisms have been extensively studied only recently with the advent of advanced time-lapse microscopy. Timing related to apoptosis stages is strongly correlated to many factors including cell type, drug dose, cell microenvironment, and related cross-talks whose knowledge is too little to predict apoptosis duration. Such times are of fundamental importance since they linked with drug efficacy, immunotherapy treatment, cancer-immune interaction effectiveness. In light of this, by exploiting video analysis, deep learning algorithms, and multiple linear regression, we presented a platform to examine the apoptosis and blebbing times with very high accuracy and precision levels. More in detail, we artificially generated, through a computer vision analysis platform, synthetic apoptosis videos with randomly variated apoptosis timing profiles. By using a pre-trained Convolutional Neural Network (CNN) architecture within the so-called transfer learning procedure, we encoded each frame of the video into a list of numerical descriptors. Automatic examination of apoptosis timing profiles was then accomplished by training a multivariate linear regression (MLR) model. An extended version of the work will present further advancement of this research by considering real videos of dying cells and additional confounding effects.
{"title":"Robust examination of cell apoptosis timing in presence of noisy environment","authors":"A. Mencattini, P. Casti, J. Filippi, M. D’Orazio, Sara Cardarelli, G. Antonelli, E. Martinelli","doi":"10.1109/MeMeA54994.2022.9856514","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856514","url":null,"abstract":"The process of programmable cell death, i.e., apoptosis, physiologically occurs during development and aging and as a homeostatic mechanism to maintain cell populations in tissues. Apoptosis also happens as a defense mechanism in immune reactions or when cells are damaged by disease or external stimuli (drugs). Due to its complexity and the fact that apoptosis fate resolves in a very short time (a few hours in general), apoptosis mechanisms have been extensively studied only recently with the advent of advanced time-lapse microscopy. Timing related to apoptosis stages is strongly correlated to many factors including cell type, drug dose, cell microenvironment, and related cross-talks whose knowledge is too little to predict apoptosis duration. Such times are of fundamental importance since they linked with drug efficacy, immunotherapy treatment, cancer-immune interaction effectiveness. In light of this, by exploiting video analysis, deep learning algorithms, and multiple linear regression, we presented a platform to examine the apoptosis and blebbing times with very high accuracy and precision levels. More in detail, we artificially generated, through a computer vision analysis platform, synthetic apoptosis videos with randomly variated apoptosis timing profiles. By using a pre-trained Convolutional Neural Network (CNN) architecture within the so-called transfer learning procedure, we encoded each frame of the video into a list of numerical descriptors. Automatic examination of apoptosis timing profiles was then accomplished by training a multivariate linear regression (MLR) model. An extended version of the work will present further advancement of this research by considering real videos of dying cells and additional confounding effects.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125440246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856494
V. Gramigna, M. G. Bianco, Marianna Crasá, R. Nisticó, A. Quattrone, A. Quattrone
Navigated transcranial magnetic stimulation (nTMS) is a painless method for targeting stimulation of the human brain. The responses from peripheral muscles provide a direct measure for the integrity of the cortical interneurons, corticospinal neurons, and spinal motoneurons. Parkinson's disease (PD) is characterized by the degeneration of dopaminergic nigrostriatal pathways and by the lateralization of motor dysfunction. In this study, we applied nTMS on a cohort of PD patients and healthy subjects (HC) in order to investigate the asymmetry of the cortical excitability. During the experiments, resting motor threshold (rMT) in each hemisphere and its difference between brain sides (ΔrMT), motor evoked potentials (MEPs) amplitude, and the electric field strength at the optimal stimulus location (E-field) were evaluated for each subject. A statistical analysis was performed and a significant difference between HC and PD was found in resting motor threshold asymmetry descripted by ΔrMT. This finding suggested that ΔrMT could be considered as an informative biomarker of PD disease. The innovative approach of navigated magnetic stimulation procedure allowed the respect of the cortical architecture through the accurate spatial location. Indeed, no significant differences were found in E-field strength in both hemispheres. The optimal spatial specificity of navigated TMS provides support for its application in the neurodegenerative disease scenario.
{"title":"Resting motor threshold asymmetry in PD patients: a navigated TMS measurement study","authors":"V. Gramigna, M. G. Bianco, Marianna Crasá, R. Nisticó, A. Quattrone, A. Quattrone","doi":"10.1109/MeMeA54994.2022.9856494","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856494","url":null,"abstract":"Navigated transcranial magnetic stimulation (nTMS) is a painless method for targeting stimulation of the human brain. The responses from peripheral muscles provide a direct measure for the integrity of the cortical interneurons, corticospinal neurons, and spinal motoneurons. Parkinson's disease (PD) is characterized by the degeneration of dopaminergic nigrostriatal pathways and by the lateralization of motor dysfunction. In this study, we applied nTMS on a cohort of PD patients and healthy subjects (HC) in order to investigate the asymmetry of the cortical excitability. During the experiments, resting motor threshold (rMT) in each hemisphere and its difference between brain sides (ΔrMT), motor evoked potentials (MEPs) amplitude, and the electric field strength at the optimal stimulus location (E-field) were evaluated for each subject. A statistical analysis was performed and a significant difference between HC and PD was found in resting motor threshold asymmetry descripted by ΔrMT. This finding suggested that ΔrMT could be considered as an informative biomarker of PD disease. The innovative approach of navigated magnetic stimulation procedure allowed the respect of the cortical architecture through the accurate spatial location. Indeed, no significant differences were found in E-field strength in both hemispheres. The optimal spatial specificity of navigated TMS provides support for its application in the neurodegenerative disease scenario.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129631890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856488
Rahul Manoj, V. R. Kiran, P. Nabeel, M. Sivaprakasam, J. Joseph
Pulse contour analysis (PCA) provides detailed evaluations of the accelerative and decelerative phases of the arterial pulse waveform, potentially associated with large artery stiffness and vascular ageing. Previous studies have reported age-related associations (both structural and functional) with PCA markers and stiffness. However, changes in functional stiffness under a drug produced due to the interplay of blood pressure and heart rate were not explored. In this work, we investigate the variation of PCA markers derived from the second derivative of invasive pressure waveform recorded from the carotid artery of an anaesthetized porcine model under drug intervention. The variations in PCA markers are compared with the functional stiffness surrogates (pulse wave velocity (PWV) _ regional and local), which are clinically relevant markers that vary with blood pressure and heart rate. Local and regional PWV was measured from pulse transit time, obtained from the carotid artery for the former and carotid-femoral artery for the latter. Group average local and regional PWV varied at least by 83.26%, and group average PCA markers by 25.19% for a 57.75% change in pulse pressure. PCA markers: b/a and c/a had statistically significant highest correlation (r = 0.63, r = −0.93 respectively, p < 0.001) with local PWV and pulse pressure (r = 0.73, r = −0.97 respectively, p < 0.001), whereas c/a and d/a had statistically significant highest correlation (r = −0.96, r = −0.98 respectively, p < 0.001) with regional PWV. The study helps understand the selective associations of PCA markers (through multivariate regression analysis) on local, regional stiffness and pulse pressure. Such PCA markers potentially provide information useful for developing vascular index matrices.
脉冲轮廓分析(PCA)提供了动脉脉冲波形加速和减速阶段的详细评估，这可能与大动脉僵硬和血管老化有关。先前的研究报道了年龄与PCA标记物和僵硬度的相关性(结构和功能)。然而，由于血压和心率的相互作用而产生的药物作用下功能僵硬度的变化尚未探讨。在这项工作中，我们研究了药物干预下麻醉猪模型颈动脉有创压力波形的二阶导数得出的PCA标记的变化。将PCA指标的变化与功能僵硬替代指标(脉搏波速度(PWV) _区域和局部)进行比较，后者是随血压和心率变化的临床相关指标。通过脉冲传递时间测量局部和区域PWV，前者从颈动脉获得，后者从颈-股动脉获得。组内局部和区域平均PWV变化至少83.26%，组内平均PCA标记物变化25.19%，脉压变化57.75%。PCA标记:b/a和c/a与局部PWV和脉压(r = 0.73, r = - 0.97, p < 0.001)的相关性最高(r = - 0.63, r = - 0.93, p < 0.001)，而c/a和d/a与区域PWV的相关性最高(r = - 0.96, r = - 0.98, p < 0.001)，具有统计学意义。该研究有助于理解PCA标记(通过多元回归分析)对局部、区域刚度和脉压的选择性关联。这样的PCA标记可能为开发血管指数矩阵提供有用的信息。
{"title":"Variation in Pulse Contour Markers on an Anesthetized Porcine During Pressure Perturbation: Association with Local and Regional Stiffness","authors":"Rahul Manoj, V. R. Kiran, P. Nabeel, M. Sivaprakasam, J. Joseph","doi":"10.1109/MeMeA54994.2022.9856488","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856488","url":null,"abstract":"Pulse contour analysis (PCA) provides detailed evaluations of the accelerative and decelerative phases of the arterial pulse waveform, potentially associated with large artery stiffness and vascular ageing. Previous studies have reported age-related associations (both structural and functional) with PCA markers and stiffness. However, changes in functional stiffness under a drug produced due to the interplay of blood pressure and heart rate were not explored. In this work, we investigate the variation of PCA markers derived from the second derivative of invasive pressure waveform recorded from the carotid artery of an anaesthetized porcine model under drug intervention. The variations in PCA markers are compared with the functional stiffness surrogates (pulse wave velocity (PWV) _ regional and local), which are clinically relevant markers that vary with blood pressure and heart rate. Local and regional PWV was measured from pulse transit time, obtained from the carotid artery for the former and carotid-femoral artery for the latter. Group average local and regional PWV varied at least by 83.26%, and group average PCA markers by 25.19% for a 57.75% change in pulse pressure. PCA markers: b/a and c/a had statistically significant highest correlation (r = 0.63, r = −0.93 respectively, p < 0.001) with local PWV and pulse pressure (r = 0.73, r = −0.97 respectively, p < 0.001), whereas c/a and d/a had statistically significant highest correlation (r = −0.96, r = −0.98 respectively, p < 0.001) with regional PWV. The study helps understand the selective associations of PCA markers (through multivariate regression analysis) on local, regional stiffness and pulse pressure. Such PCA markers potentially provide information useful for developing vascular index matrices.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"17 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128925480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856503
B. Tusor, Š. Gubo, A. Várkonyi-Kóczy
Fuzzy inference is a powerful tool used in many fields of science nowadays, including medical science. However, for applications where the number of fuzzy rules is very large, the increased computational complexity for systems with limited resources (such as low budget computers and embedded systems) can result in a very slow operation. In this paper, a new method is proposed to accelerate the operation of Fuzzy Inference Systems that is faster than the conventional sequential procedure, primarily for such computer systems.
{"title":"Fuzzy Inference Speed Enhancement for Low Budget Computers using Hash Indices","authors":"B. Tusor, Š. Gubo, A. Várkonyi-Kóczy","doi":"10.1109/MeMeA54994.2022.9856503","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856503","url":null,"abstract":"Fuzzy inference is a powerful tool used in many fields of science nowadays, including medical science. However, for applications where the number of fuzzy rules is very large, the increased computational complexity for systems with limited resources (such as low budget computers and embedded systems) can result in a very slow operation. In this paper, a new method is proposed to accelerate the operation of Fuzzy Inference Systems that is faster than the conventional sequential procedure, primarily for such computer systems.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128984558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856535
L. D’Alvia, D. Ferranti, Giacomo Romiti, E. Rizzuto, R. Cangemi, Antonino Laudani, S. Basili, F. R. Fulginei, Z. Del Prete
Nowadays, wearable wireless devices represent an exciting challenge both for controlling one's lifestyle and for specific applications like telemedicine and at-home healthcare monitoring. Many low-cost sensors and sensor systems are currently on the market, but only a limited number of them are validated and certified for clinical applications. This paper presents preliminary results of the accuracy assessment of an electrocardiography (ECG) device for cardiovascular disease monitoring that will be applied by the patients for self-checking. In particular, the analog front end integrated circuit MAX30001 is proposed and tested, while the principal features of MAX30001 evaluation board software were described, as well as three cardiac pathologies which require in-depth and continuous ECG monitoring. An accuracy setup was realized to evaluate the acquisition fidelity; it is based on a high-quality waveform generator that imposes to the MAX30001 two different periodic signals: a sine and a sinc with the frequency of 1 Hz to 10 Hz with a 5 Hz step. The accuracy evaluation shows how the integrated circuit provides a normalized root mean square error in the chosen frequency range, lower than 0.01 and lower than 0.20, respectively, for the sine and sinc waveform. Moreover, it presents for sinc signal a peak detection rate of 80%.
{"title":"Accuracy evaluation of an ECG device for heart failure patients self-monitoring: a preliminary study","authors":"L. D’Alvia, D. Ferranti, Giacomo Romiti, E. Rizzuto, R. Cangemi, Antonino Laudani, S. Basili, F. R. Fulginei, Z. Del Prete","doi":"10.1109/MeMeA54994.2022.9856535","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856535","url":null,"abstract":"Nowadays, wearable wireless devices represent an exciting challenge both for controlling one's lifestyle and for specific applications like telemedicine and at-home healthcare monitoring. Many low-cost sensors and sensor systems are currently on the market, but only a limited number of them are validated and certified for clinical applications. This paper presents preliminary results of the accuracy assessment of an electrocardiography (ECG) device for cardiovascular disease monitoring that will be applied by the patients for self-checking. In particular, the analog front end integrated circuit MAX30001 is proposed and tested, while the principal features of MAX30001 evaluation board software were described, as well as three cardiac pathologies which require in-depth and continuous ECG monitoring. An accuracy setup was realized to evaluate the acquisition fidelity; it is based on a high-quality waveform generator that imposes to the MAX30001 two different periodic signals: a sine and a sinc with the frequency of 1 Hz to 10 Hz with a 5 Hz step. The accuracy evaluation shows how the integrated circuit provides a normalized root mean square error in the chosen frequency range, lower than 0.01 and lower than 0.20, respectively, for the sine and sinc waveform. Moreover, it presents for sinc signal a peak detection rate of 80%.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122955263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856469
A. López, Francisco Javier Ferrero Martín, M. V. Llopis, Juan Carlos Campo Rodríguez
The recording of eye movement biopotential is called electrooculogram (EOG). This technique is applied as a diagnostic method in ophthalmology to investigate the human oculomotor system and to control different assistive systems. The first step for developing an EOG-based system is to know in depth the possible sources of interference and the placement of the electrode, especially the reference electrode. They affect the recording of the EOG and pose a challenge to analog signal acquisition. This paper presents a novel study conducted to analyze the influence of these issues in the design of an EOG-based system. To estimate the noise level at each of the reference electrode placements, signal-to-noise-ratio (SNR) and percent root-mean-square difference (PRD) parameters were calculated.
{"title":"Reference Electrode Placement in EOG-based Systems Design","authors":"A. López, Francisco Javier Ferrero Martín, M. V. Llopis, Juan Carlos Campo Rodríguez","doi":"10.1109/MeMeA54994.2022.9856469","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856469","url":null,"abstract":"The recording of eye movement biopotential is called electrooculogram (EOG). This technique is applied as a diagnostic method in ophthalmology to investigate the human oculomotor system and to control different assistive systems. The first step for developing an EOG-based system is to know in depth the possible sources of interference and the placement of the electrode, especially the reference electrode. They affect the recording of the EOG and pose a challenge to analog signal acquisition. This paper presents a novel study conducted to analyze the influence of these issues in the design of an EOG-based system. To estimate the noise level at each of the reference electrode placements, signal-to-noise-ratio (SNR) and percent root-mean-square difference (PRD) parameters were calculated.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123348597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856585
D. Balta, H. Kuo, Jing Wang, I. G. Porco, M. Schladen, A. Cereatti, P. Lum, U. Croce
Quantitative biomarkers of infant motion may be predictive of the development of movement disorders. This study presents and validates a low cost, markerless motion tracking method for the estimation of upper body kinematics of infants from which proper biomarkers may be extracted. The method requires a single RGB-D sensor, a 2D motion tracking software publicly available and a purposely developed algorithm for the estimation of the 3D coordinates of points tracked from the RGB images. The algorithm deals with various sources of errors in reconstructing the 3D coordinates of the tracked points and allows to estimate kinematic variables to be used to identify potential biomarkers. Both simulated and actual infant's motions were recorded. The infant's motion was recorded at 4, 5 and 6 months of age. Anthropometric measures are also estimated to validate the method on both simulated and actual infant's motion. Known point kinematics were obtained from a doll, with size and shape of an infant, lying on a turntable rotating at $33^{1}/3$ rpm. The doll's motion was recorded from two angles: parallel to the turntable rotation plane and angled at $boldsymbol{45^{circ}}$ with respect to it. The latter presents occlusions of tracked points similar to those expected during the recording of an infant's motion. The errors in estimating the selected anthropometric measurements during the infant's motion resulted to be similar to those obtained during the simulated infant's motion. The range of the elbow and shoulder angles estimated during the infant's motion resulted to be well above the error found during the turntable recordings. Similarly, the length of the hand path and mean velocity recorded during the infant's motion resulted to be much greater than the error found in the simulation. Moreover, changes over time of both anthropometric and kinematic variables may be appreciated. Therefore, the proposed method may be effectively used to explore biomarkers of early development of movement disorders. More accurate estimates may be expected if more performing hardware and tracking software are available.
{"title":"Infant upper body 3D kinematics estimated using a commercial RGB-D sensor and a deep neural network tracking processing tool","authors":"D. Balta, H. Kuo, Jing Wang, I. G. Porco, M. Schladen, A. Cereatti, P. Lum, U. Croce","doi":"10.1109/MeMeA54994.2022.9856585","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856585","url":null,"abstract":"Quantitative biomarkers of infant motion may be predictive of the development of movement disorders. This study presents and validates a low cost, markerless motion tracking method for the estimation of upper body kinematics of infants from which proper biomarkers may be extracted. The method requires a single RGB-D sensor, a 2D motion tracking software publicly available and a purposely developed algorithm for the estimation of the 3D coordinates of points tracked from the RGB images. The algorithm deals with various sources of errors in reconstructing the 3D coordinates of the tracked points and allows to estimate kinematic variables to be used to identify potential biomarkers. Both simulated and actual infant's motions were recorded. The infant's motion was recorded at 4, 5 and 6 months of age. Anthropometric measures are also estimated to validate the method on both simulated and actual infant's motion. Known point kinematics were obtained from a doll, with size and shape of an infant, lying on a turntable rotating at $33^{1}/3$ rpm. The doll's motion was recorded from two angles: parallel to the turntable rotation plane and angled at $boldsymbol{45^{circ}}$ with respect to it. The latter presents occlusions of tracked points similar to those expected during the recording of an infant's motion. The errors in estimating the selected anthropometric measurements during the infant's motion resulted to be similar to those obtained during the simulated infant's motion. The range of the elbow and shoulder angles estimated during the infant's motion resulted to be well above the error found during the turntable recordings. Similarly, the length of the hand path and mean velocity recorded during the infant's motion resulted to be much greater than the error found in the simulation. Moreover, changes over time of both anthropometric and kinematic variables may be appreciated. Therefore, the proposed method may be effectively used to explore biomarkers of early development of movement disorders. More accurate estimates may be expected if more performing hardware and tracking software are available.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115431724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856425
Nicola Bevilacqua, G. Andria, F. Attivissimo, A. Nisio, M. Spadavecchia
Respiration rate is one of the most important physiological parameters to estimate clinical conditions or to monitor respiration during sport activities. Therefore, it is necessary to develop integrated devices with different acquisition processes with the main purpose of balancing non-invasive methods and reliable results. In this paper, the respiratory signal is acquired by a piezoelectric belt and analyzed by an innovative algorithm that takes advantages of an adaptive bandwidth filter to identify respiration condition and quantify respiratory rate. A DAQ board is used for the acquisition of samples which is connected to a PC's USB port. Medical decision support is provided by clinical classification based on the estimation of the breath rate; moreover, through detection of outliers, the proposed algorithm could point out moments of dyspnea.
{"title":"Development of an adaptive bandwidth filter for the estimation of respiratory parameters using a piezoelectric belt","authors":"Nicola Bevilacqua, G. Andria, F. Attivissimo, A. Nisio, M. Spadavecchia","doi":"10.1109/MeMeA54994.2022.9856425","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856425","url":null,"abstract":"Respiration rate is one of the most important physiological parameters to estimate clinical conditions or to monitor respiration during sport activities. Therefore, it is necessary to develop integrated devices with different acquisition processes with the main purpose of balancing non-invasive methods and reliable results. In this paper, the respiratory signal is acquired by a piezoelectric belt and analyzed by an innovative algorithm that takes advantages of an adaptive bandwidth filter to identify respiration condition and quantify respiratory rate. A DAQ board is used for the acquisition of samples which is connected to a PC's USB port. Medical decision support is provided by clinical classification based on the estimation of the breath rate; moreover, through detection of outliers, the proposed algorithm could point out moments of dyspnea.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132512096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856587
S. Pettinato, M. Girolami, R. Olivieri, A. Stravato, D. Barettin, S. Salvatori
Modern radiation therapies in which ultra-narrow, collimated radiation beams are used to treat even irregular tumor geometries are leading to new challenges in dosimetry. In this context, FLASH technique, involving the use of high dose-rates as well as ultra-high dose-per-pulse beams, is receiving more and more attention. On this basis, the development of detection systems capable of meeting the stringent requirements of dose-per-pulse monitoring, such as real-time acquisition and processing of dosimeter signals, is becoming crucial. In this work, the main features of a synthetic single-crystal diamond dosimeter coupled to a specifically designed compact and versatile front-end electronics are illustrated. Proposed system is able to monitor the generated charge by the detector at every pulse on the impinging beam. Tests were performed for synchronous measurements under either X-ray photons or electrons generated by a medical linear accelerator, with an accelerating voltage of 6 MV. Experimental results highlight that diamond dosimeter displays a response only dependent on the impinging dose regardless of the beam nature (X-rays or electrons), therefore confirming that diamond is the elective material for accurate dosimetry in radiotherapy. The system acquires, processes and transfers the data within 0.5 ms, thus allowing for a real time monitoring for pulse repetition rates up to more than 2 kHz. Exploiting the high quality of the implemented components, the proposed front-end and read-out electronics represents an effective solution for accurate dose-per-pulse measurements in modern radiotherapy techniques.
{"title":"Compact Embedded Detection Electronics for Accurate Dose Measurements of MV Pulsed X-rays and Electrons","authors":"S. Pettinato, M. Girolami, R. Olivieri, A. Stravato, D. Barettin, S. Salvatori","doi":"10.1109/MeMeA54994.2022.9856587","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856587","url":null,"abstract":"Modern radiation therapies in which ultra-narrow, collimated radiation beams are used to treat even irregular tumor geometries are leading to new challenges in dosimetry. In this context, FLASH technique, involving the use of high dose-rates as well as ultra-high dose-per-pulse beams, is receiving more and more attention. On this basis, the development of detection systems capable of meeting the stringent requirements of dose-per-pulse monitoring, such as real-time acquisition and processing of dosimeter signals, is becoming crucial. In this work, the main features of a synthetic single-crystal diamond dosimeter coupled to a specifically designed compact and versatile front-end electronics are illustrated. Proposed system is able to monitor the generated charge by the detector at every pulse on the impinging beam. Tests were performed for synchronous measurements under either X-ray photons or electrons generated by a medical linear accelerator, with an accelerating voltage of 6 MV. Experimental results highlight that diamond dosimeter displays a response only dependent on the impinging dose regardless of the beam nature (X-rays or electrons), therefore confirming that diamond is the elective material for accurate dosimetry in radiotherapy. The system acquires, processes and transfers the data within 0.5 ms, thus allowing for a real time monitoring for pulse repetition rates up to more than 2 kHz. Exploiting the high quality of the implemented components, the proposed front-end and read-out electronics represents an effective solution for accurate dose-per-pulse measurements in modern radiotherapy techniques.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131562896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：