Pub Date : 2022-06-22DOI: 10.1109/MeMeA54994.2022.9856439
M. Naheem, Andal Amirthavarshini G, S. A, P. Dumpuri, Manojkumar Lakshmanan, M. Sivaprakasam
Optical tracking systems are extensively used in minimally invasive image-guided surgeries. The efficiency of such a system depends on the precise tracking of surgical tools. The optimal setup of the navigation system and calibration of the tool are the predominant factors that affect the tracking accuracy. We have developed and implemented customized filtering and calibration algorithms on a cost-effective camera, the fusionTrack 500 manufactured by Atracsys. Deployment of these in-house algorithms and protocols have shown a significant increase in the tracking accuracy. Extensive validations were conducted on fusionTrack 500 and benchmarked against NDI Polaris Vega, an industrial standard camera. ASTM phantom was used to validate the tracking accuracy of the navigation system. A Deldrin-based phantom was designed particularly to evaluate the Target Registration Error. Further, a volumetric study was carried out to assess the relative position error between cameras, using a 3D FARO arm CMM. The proposed calibration method implemented on the Atracsys camera shows a 33.7% improvement in the tracking accuracy compared to its native algorithm. Target Registration Error for NDI camera was observed to be 1.2 mm and Atracsys was 0.8 mm, which depicts a 0.4 mm enhancement. Incorporating these algorithms would allow us to effectively integrate cost-effective optical tracking systems into image-guided navigation systems.
光学跟踪系统广泛应用于微创图像引导手术。这种系统的效率取决于手术工具的精确跟踪。导航系统的优化设置和刀具的标定是影响跟踪精度的主要因素。我们已经开发并实施了定制滤波和校准算法在一个具有成本效益的相机，fusionTrack 500由Atracsys制造。这些内部算法和协议的部署显示出跟踪精度的显着提高。在fusionTrack 500上进行了广泛的验证，并与NDI Polaris Vega(一款工业标准相机)进行了基准测试。采用ASTM模型验证导航系统的跟踪精度。设计了一个基于deldrin的模型来评估目标定位误差。此外，使用3D FARO臂式三坐标测量机进行了体积研究，以评估相机之间的相对位置误差。本文提出的标定方法在Atracsys相机上实现，与原有算法相比，标定精度提高了33.7%。NDI相机的目标配准误差为1.2 mm, Atracsys为0.8 mm，增强了0.4 mm。结合这些算法将使我们能够有效地将具有成本效益的光学跟踪系统集成到图像制导导航系统中。
{"title":"Optical Tracker Assessment for Image Guided Surgical Interventions","authors":"M. Naheem, Andal Amirthavarshini G, S. A, P. Dumpuri, Manojkumar Lakshmanan, M. Sivaprakasam","doi":"10.1109/MeMeA54994.2022.9856439","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856439","url":null,"abstract":"Optical tracking systems are extensively used in minimally invasive image-guided surgeries. The efficiency of such a system depends on the precise tracking of surgical tools. The optimal setup of the navigation system and calibration of the tool are the predominant factors that affect the tracking accuracy. We have developed and implemented customized filtering and calibration algorithms on a cost-effective camera, the fusionTrack 500 manufactured by Atracsys. Deployment of these in-house algorithms and protocols have shown a significant increase in the tracking accuracy. Extensive validations were conducted on fusionTrack 500 and benchmarked against NDI Polaris Vega, an industrial standard camera. ASTM phantom was used to validate the tracking accuracy of the navigation system. A Deldrin-based phantom was designed particularly to evaluate the Target Registration Error. Further, a volumetric study was carried out to assess the relative position error between cameras, using a 3D FARO arm CMM. The proposed calibration method implemented on the Atracsys camera shows a 33.7% improvement in the tracking accuracy compared to its native algorithm. Target Registration Error for NDI camera was observed to be 1.2 mm and Atracsys was 0.8 mm, which depicts a 0.4 mm enhancement. Incorporating these algorithms would allow us to effectively integrate cost-effective optical tracking systems into image-guided navigation systems.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"22 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":"131381855","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/MeMeA54994.2022.9856458
William Sukaria, James Malasa, Shiu Kumar, Rahul Kumar, M. Assaf, V. Groza, E. Petriu, Sunil R. Das
Epilepsy is a central nervous system disorder that affects a substantial number of world's population and disrupts the quality of life of the sufferers. A number of diagnostic techniques evolved over the years for the detection of epileptic seizures using encephalograms. The subject paper presents design and implementation of a classification model based on convolution neural networks that is capable of detecting epileptic seizures using computational methods utilizing encephalogram data. The study used convolution neural networks that have unique characteristics for recognizing patterns and images and in classifying their features. The neural network architecture proposed herein comprises of layers for input and output with several hidden convolution layers. The electroencephalogram database that was used in this work is the freely accessible CHB-MIT scalp encephalogram database. The developed approach was implemented using the 22 subject database and testing was carried out on patients a few days after the withdrawal of the anti-seizure medications. The test subjects were composed of 5 males and 17 females from various age groups. It was observed that the suggested algorithm could detect about 94.6 percent of the 198 tested seizure records, indicating a good performance of the proposed seizure detection algorithm.
{"title":"Epileptic Seizure Detection Using Convolution Neural Networks","authors":"William Sukaria, James Malasa, Shiu Kumar, Rahul Kumar, M. Assaf, V. Groza, E. Petriu, Sunil R. Das","doi":"10.1109/MeMeA54994.2022.9856458","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856458","url":null,"abstract":"Epilepsy is a central nervous system disorder that affects a substantial number of world's population and disrupts the quality of life of the sufferers. A number of diagnostic techniques evolved over the years for the detection of epileptic seizures using encephalograms. The subject paper presents design and implementation of a classification model based on convolution neural networks that is capable of detecting epileptic seizures using computational methods utilizing encephalogram data. The study used convolution neural networks that have unique characteristics for recognizing patterns and images and in classifying their features. The neural network architecture proposed herein comprises of layers for input and output with several hidden convolution layers. The electroencephalogram database that was used in this work is the freely accessible CHB-MIT scalp encephalogram database. The developed approach was implemented using the 22 subject database and testing was carried out on patients a few days after the withdrawal of the anti-seizure medications. The test subjects were composed of 5 males and 17 females from various age groups. It was observed that the suggested algorithm could detect about 94.6 percent of the 198 tested seizure records, indicating a good performance of the proposed seizure detection algorithm.","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":"129985350","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/MeMeA54994.2022.9856533
A. Poli, G. Cosoli, Grazia Iadarola, S. Spinsante, L. Scalise
Abnormal changes in blood pressure (BP) values can result in hypertension, one of the most serious cardiovascular risk factors. For this reason, it is important to regularly monitor the BP changes. Wearable devices, such as smartwatches, enable the BP values recording during daily activities, enhancing the prevention and management of several diseases. However, data quality can be lower than the one provided by a medical-grade instrument. The aim of this study is to compare the BP values obtained by three commercial smartwatches to those obtained by an automatic sphygmomanometer, adopted as a reference device. Nineteen healthy subjects were enrolled to collect BP values in this study. Results show that blood pressure can be tracked, with certain precision and accuracy, using a wrist-worn wearable device. Among the tested smartwatches, the Omron HeartGuide resulted the most accurate to detect the systolic BP values, SBP (bias, $mu_{SBP}=0.60$ mmHg), while the Samsung Galaxy Watch3 showed the highest accuracy for the systolic BP values and the highest precision (confidence intervals for systolic and diastolic BP, DBP, CI95%SBP = [−9.70; 10.91] mmHg; $text{CI}95%_{DBP}=[-4.68;7.57]$ mmHg), with respect to the accuracy of the sphygmomanometer (± 3 mmHg).
{"title":"Feasibility of Blood Pressure Measurement through Wearable Devices: Analysis of Smartwatches Performance","authors":"A. Poli, G. Cosoli, Grazia Iadarola, S. Spinsante, L. Scalise","doi":"10.1109/MeMeA54994.2022.9856533","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856533","url":null,"abstract":"Abnormal changes in blood pressure (BP) values can result in hypertension, one of the most serious cardiovascular risk factors. For this reason, it is important to regularly monitor the BP changes. Wearable devices, such as smartwatches, enable the BP values recording during daily activities, enhancing the prevention and management of several diseases. However, data quality can be lower than the one provided by a medical-grade instrument. The aim of this study is to compare the BP values obtained by three commercial smartwatches to those obtained by an automatic sphygmomanometer, adopted as a reference device. Nineteen healthy subjects were enrolled to collect BP values in this study. Results show that blood pressure can be tracked, with certain precision and accuracy, using a wrist-worn wearable device. Among the tested smartwatches, the Omron HeartGuide resulted the most accurate to detect the systolic BP values, SBP (bias, $mu_{SBP}=0.60$ mmHg), while the Samsung Galaxy Watch3 showed the highest accuracy for the systolic BP values and the highest precision (confidence intervals for systolic and diastolic BP, DBP, CI95%SBP = [−9.70; 10.91] mmHg; $text{CI}95%_{DBP}=[-4.68;7.57]$ mmHg), with respect to the accuracy of the sphygmomanometer (± 3 mmHg).","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"15 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":"130892022","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/MeMeA54994.2022.9856474
Giorgia Fiori, A. Scorza, M. Schmid, J. Galo, S. Conforto, S. Sciuto
Sample volume (SV) in PW Doppler is usually characterized by two main factors, i.e., sample volume size and range gate registration accuracy, which have been included among the recommended Quality Control (QC) Doppler tests commonly proposed in the literature. However, most of the studies focusing on these two factors date back to the last years of the XX century. In this context, the present preliminary study proposes and investigates a novel approach for the automatic analysis of faults in both sample volume length and registration accuracy through the post-processing of PW Doppler spectrograms. In particular, a Velocity Profile Discrepancy Index (VPDI) has been defined and assessed under the hypothesis of laminar flow and parabolic velocity profiles in the examined conduct. According to the definition hereby proposed, VPDI is expected to be as close as possible to 0 for a good agreement between theoretical and measured velocity profile, therefore suggesting that the displayed PW spectrogram is not affected by significant SV error sources. A single ultrasound (US) system of intermediate technology level, equipped with three probe models, has been used to acquire the PW spectrograms obtained for six different SV positions (i.e., six sample volume depths) with respect to the tube diameter of a Doppler flow phantom. Tests have been repeated for all the US probes operating at two Doppler frequencies each. Based on the preliminary promising outcomes, further studies may be needed that include (i) increasing the number of diagnostic systems, (ii) exploring different US system settings, (iii) improving the test protocol to estimate the two error sources separately.
{"title":"A preliminary study on a novel approach to the assessment of the sample volume length and registration accuracy in PW Doppler quality control","authors":"Giorgia Fiori, A. Scorza, M. Schmid, J. Galo, S. Conforto, S. Sciuto","doi":"10.1109/MeMeA54994.2022.9856474","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856474","url":null,"abstract":"Sample volume (SV) in PW Doppler is usually characterized by two main factors, i.e., sample volume size and range gate registration accuracy, which have been included among the recommended Quality Control (QC) Doppler tests commonly proposed in the literature. However, most of the studies focusing on these two factors date back to the last years of the XX century. In this context, the present preliminary study proposes and investigates a novel approach for the automatic analysis of faults in both sample volume length and registration accuracy through the post-processing of PW Doppler spectrograms. In particular, a Velocity Profile Discrepancy Index (VPDI) has been defined and assessed under the hypothesis of laminar flow and parabolic velocity profiles in the examined conduct. According to the definition hereby proposed, VPDI is expected to be as close as possible to 0 for a good agreement between theoretical and measured velocity profile, therefore suggesting that the displayed PW spectrogram is not affected by significant SV error sources. A single ultrasound (US) system of intermediate technology level, equipped with three probe models, has been used to acquire the PW spectrograms obtained for six different SV positions (i.e., six sample volume depths) with respect to the tube diameter of a Doppler flow phantom. Tests have been repeated for all the US probes operating at two Doppler frequencies each. Based on the preliminary promising outcomes, further studies may be needed that include (i) increasing the number of diagnostic systems, (ii) exploring different US system settings, (iii) improving the test protocol to estimate the two error sources separately.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"73 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":"133672487","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/MeMeA54994.2022.9856492
B. Karaboce
The acoustic coupler designed for newborn hearing assessments has been studied and used in in vitro tests. The acoustic transfer impedance (ATI) of the coupler was determined and compared with the theoretical model. In addition, its sensitivity to environmental conditions such as temperature and pressure was investigated at frequencies between 100 Hz and 10 kHz. Ear coupler has been compared with the IEC 60318–4 ear simulator and a 2 cm3 coupler and the results have been investigated. This paper reports on the results of experimental investigations for the new neonatal occluded ear simulator including in various atmospheric pressure and temperature conditions which was applied in automatic controlled environmental chambers. The uncertainty in the calibration is calculated in accordance with the methods specified in the “Guide to the Expression of Uncertainty in Measurement (GUM, ISO, 2nd edition, 1995)” and EA-4/02 (EA, 1999). A model function based on error has been created for the uncertainty calculations in the acoustic transfer impedance calculations and a detailed uncertainty budget has been given.
{"title":"Evaluation of Acoustic Coupler for Audiometric Tests of Newborns","authors":"B. Karaboce","doi":"10.1109/MeMeA54994.2022.9856492","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856492","url":null,"abstract":"The acoustic coupler designed for newborn hearing assessments has been studied and used in in vitro tests. The acoustic transfer impedance (ATI) of the coupler was determined and compared with the theoretical model. In addition, its sensitivity to environmental conditions such as temperature and pressure was investigated at frequencies between 100 Hz and 10 kHz. Ear coupler has been compared with the IEC 60318–4 ear simulator and a 2 cm3 coupler and the results have been investigated. This paper reports on the results of experimental investigations for the new neonatal occluded ear simulator including in various atmospheric pressure and temperature conditions which was applied in automatic controlled environmental chambers. The uncertainty in the calibration is calculated in accordance with the methods specified in the “Guide to the Expression of Uncertainty in Measurement (GUM, ISO, 2nd edition, 1995)” and EA-4/02 (EA, 1999). A model function based on error has been created for the uncertainty calculations in the acoustic transfer impedance calculations and a detailed uncertainty budget has been given.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"36 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":"131263408","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/MeMeA54994.2022.9856434
Francesco Paciolla, A. Zifarelli, V. Spagnolo, P. Patimisco, A. Sampaolo, M. Giglio, K. Kinjalk, R. Teissier, A. Baranov
The analysis of Volatile Organic Compounds (VOCs) concentration in exhaled breath can be a promising approach for early and non-invasive diagnosis of different diseases. This work reports the detection of benzene and toluene molecules using a Quartz-Enhanced PhotoAcoustic Spectroscopy (QEPAS) sensor. These two molecules are VOCs commonly found in part-per-billion (ppb) level in the human exhaled breath.
{"title":"Benzene and Toluene Detection with a Quartz-Enhanced Photoacoustic Sensor","authors":"Francesco Paciolla, A. Zifarelli, V. Spagnolo, P. Patimisco, A. Sampaolo, M. Giglio, K. Kinjalk, R. Teissier, A. Baranov","doi":"10.1109/MeMeA54994.2022.9856434","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856434","url":null,"abstract":"The analysis of Volatile Organic Compounds (VOCs) concentration in exhaled breath can be a promising approach for early and non-invasive diagnosis of different diseases. This work reports the detection of benzene and toluene molecules using a Quartz-Enhanced PhotoAcoustic Spectroscopy (QEPAS) sensor. These two molecules are VOCs commonly found in part-per-billion (ppb) level in the human exhaled breath.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"11 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":"115507543","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/MeMeA54994.2022.9856447
J. Alamelu, Mythili Asaithambi, Swaminathan Ramakrishnan
The smart infusion pumps are prominently used to administer drug effectively for the patient. The usage is increased, as the patient safety is critical, and the reduction of medication errors are necessary. The control of drug flow rate in infusion pumps are crucial as it can have substantial impact on patient safety. The implementation of control system model and tuning of the related control parameters are desired. In this paper, an attempt has been made to analyze the rise time (RT) responses of a representative smart infusion pump. The syringe and volumetric administration of Dopamine drug are considered for this study. The examination of the desired target flow rate is accomplished by using different control tuning schemes such as Proportional Integral Derivative (PID) and Internal Mode Controller (IMC). The evaluation of the control strategy is demonstrated with parameters such as RT and settling time (ST). Results show that it is possible to achieve desired RT for the considered infusion conditions by tuning both PID and IMC. The values of RT obtained are 0.215 and 0.383 s respectively. Further, as it is often important to tune RT for patient specific Dopamine administration, the study seems to be relevant for the design of automated drug infusion systems.
{"title":"Analysis of Rise Time Responses of a Smart Infusion Pump for the Control of Dopamine Drug Flow Rate","authors":"J. Alamelu, Mythili Asaithambi, Swaminathan Ramakrishnan","doi":"10.1109/MeMeA54994.2022.9856447","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856447","url":null,"abstract":"The smart infusion pumps are prominently used to administer drug effectively for the patient. The usage is increased, as the patient safety is critical, and the reduction of medication errors are necessary. The control of drug flow rate in infusion pumps are crucial as it can have substantial impact on patient safety. The implementation of control system model and tuning of the related control parameters are desired. In this paper, an attempt has been made to analyze the rise time (RT) responses of a representative smart infusion pump. The syringe and volumetric administration of Dopamine drug are considered for this study. The examination of the desired target flow rate is accomplished by using different control tuning schemes such as Proportional Integral Derivative (PID) and Internal Mode Controller (IMC). The evaluation of the control strategy is demonstrated with parameters such as RT and settling time (ST). Results show that it is possible to achieve desired RT for the considered infusion conditions by tuning both PID and IMC. The values of RT obtained are 0.215 and 0.383 s respectively. Further, as it is often important to tune RT for patient specific Dopamine administration, the study seems to be relevant for the design of automated drug infusion systems.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"22 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":"115742521","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/MeMeA54994.2022.9856429
Li Wang, X. Bao, Yafei Wang, G. Crupi, A. Zhang
As a minimally invasive surgery, microwave ablation (MWA) has been widely used in tumor treatment. However, the electromagnetic properties of tissue will change with temperature during operation, which may lead to unstable performance or even failure of the antenna. In this paper, we preliminarily verified the feasibility of improving the stability of microwave ablation antenna by adjusting the frequency. Experimental results show that the ablation zone is change form 16 mm × 40 mm to 20 mm × 35 mm with frequency adjustment, showing larger and more localized ablation zone. In addition, the $S_{11}$ keeps remaining lower than −10dB during the operation, while the $S_{11}$ at 2.45 GHz without frequency adjustment is expanded to −8.5dB at the end of the experiment.
微波消融术作为一种微创手术，在肿瘤治疗中得到了广泛的应用。然而，在工作过程中，组织的电磁特性会随着温度的变化而变化，这可能导致天线的性能不稳定甚至失效。本文初步验证了通过调整频率来提高微波消融天线稳定性的可行性。实验结果表明，随着频率的调整，烧蚀区域由16 mm × 40 mm变为20 mm × 35 mm，烧蚀区域更大、更局部化。此外，$S_{11}$在工作过程中一直保持在- 10dB以下，而在2.45 GHz无频率调整时的$S_{11}$在实验结束时扩展到- 8.5dB。
{"title":"A Localized and Minimally Invasive Tumor Treatment Based on a Frequency Adjustable Microwave Ablation Method","authors":"Li Wang, X. Bao, Yafei Wang, G. Crupi, A. Zhang","doi":"10.1109/MeMeA54994.2022.9856429","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856429","url":null,"abstract":"As a minimally invasive surgery, microwave ablation (MWA) has been widely used in tumor treatment. However, the electromagnetic properties of tissue will change with temperature during operation, which may lead to unstable performance or even failure of the antenna. In this paper, we preliminarily verified the feasibility of improving the stability of microwave ablation antenna by adjusting the frequency. Experimental results show that the ablation zone is change form 16 mm × 40 mm to 20 mm × 35 mm with frequency adjustment, showing larger and more localized ablation zone. In addition, the $S_{11}$ keeps remaining lower than −10dB during the operation, while the $S_{11}$ at 2.45 GHz without frequency adjustment is expanded to −8.5dB at the end of the experiment.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"514 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":"123898627","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/MeMeA54994.2022.9856487
A. Carullo, A. Atzori, L. Midolo, A. Vallan, M. Fantini, G. Succo
This paper deals with the analysis of substitution voices of post-laryngectomy patients with the aim of identifying a methodology to track the effectiveness of rehabilitation therapies. The available data-set includes 22 patients that had undergone Open Partial Horizontal Laryngectomy (OPHL) of type II and 10 patients that had undergone OPHL of type III. A pre-processing algorithm that relies on the spectral kurtosis has been designed to remove non-harmonic frames from the available recordings of patients, thus minimizing the number of outliers among the extracted parameters. Such an algorithm has been tuned starting form the results of a control group of 10 healthy subjects. After this preliminary step, from the harmonic frames a series of parameters have been extracted that belong to spectral domain (tilt, kurtosis, entropy and Soft Phonation Index) and cepstral domain (Mel-Frequency Cepstral Coefficients, MFCCs, and Cepstral Peak Prominence Smoothed, CPPS). Then, the patients have been subdivided into two classes according to the index I (Intelligibility) of the auditory perceptual scale INFVo and a Kolmogorov-Smirnov two-samples test has been run, which has highlighted that low-band MFCCs, spectral entropy and spectral kurtosis show the best discrimination capability of substitution voices. This outcome has been confirmed by an alternative method that is based on the performance of classification algorithms. A classification accuracy of about 81% has been obtained using a logistic regression model that was trained with median of MFCC3, range of MFCC4 and 95° percentiles of MFCC6 and MFCC9. The same accuracy has been provided by a coarse decision tree algorithm trained with skewness of MFCC1, median of MFCC3 and 95° percentile of spectral entropy.
{"title":"Rehabilitation Monitoring of Post-Laryngectomy Patients through the Extraction of Vocal Parameters","authors":"A. Carullo, A. Atzori, L. Midolo, A. Vallan, M. Fantini, G. Succo","doi":"10.1109/MeMeA54994.2022.9856487","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856487","url":null,"abstract":"This paper deals with the analysis of substitution voices of post-laryngectomy patients with the aim of identifying a methodology to track the effectiveness of rehabilitation therapies. The available data-set includes 22 patients that had undergone Open Partial Horizontal Laryngectomy (OPHL) of type II and 10 patients that had undergone OPHL of type III. A pre-processing algorithm that relies on the spectral kurtosis has been designed to remove non-harmonic frames from the available recordings of patients, thus minimizing the number of outliers among the extracted parameters. Such an algorithm has been tuned starting form the results of a control group of 10 healthy subjects. After this preliminary step, from the harmonic frames a series of parameters have been extracted that belong to spectral domain (tilt, kurtosis, entropy and Soft Phonation Index) and cepstral domain (Mel-Frequency Cepstral Coefficients, MFCCs, and Cepstral Peak Prominence Smoothed, CPPS). Then, the patients have been subdivided into two classes according to the index I (Intelligibility) of the auditory perceptual scale INFVo and a Kolmogorov-Smirnov two-samples test has been run, which has highlighted that low-band MFCCs, spectral entropy and spectral kurtosis show the best discrimination capability of substitution voices. This outcome has been confirmed by an alternative method that is based on the performance of classification algorithms. A classification accuracy of about 81% has been obtained using a logistic regression model that was trained with median of MFCC3, range of MFCC4 and 95° percentiles of MFCC6 and MFCC9. The same accuracy has been provided by a coarse decision tree algorithm trained with skewness of MFCC1, median of MFCC3 and 95° percentile of spectral entropy.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"55 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":"124118675","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/MeMeA54994.2022.9856505
G. Annuzzi, P. Arpaia, L. Bozzetto, Giusy Carleo, O. Cuomo, Francesca Mancino, N. Moccaldi, P. Ramos, M. Taglialatela
An on chip-transducer based on bioimpedance spectroscopy for monitoring insulin absorption after subcutaneous administration is presented. The measurement of impedance variation allows to detect the disappearance of the drug from administration site, thus providing an indirect measure of drug absorption. In the first part of this paper, the hardware, firmware, and software of the transducer are presented. Then, the results from tests on eggplants are reported comparing their electrical response to vehicle and insulin administration. When the amount of solution increased, impedance variation was lower with insulin compared to vehicle. As matter of fact, in case of insulin, a sensitivity of 62.88 ml-1 and 44.07 ml-1was calculated for impedance magnitude and phase, respectively. In case of vehicle, a sensitivity of 171.21 ml-1 was calculated for impedance magnitude, whereas, a variation of 88.91 ml-1was observed for the impedance phase. Despite these differences, the same impedance magnitude and phase monotonous trend emerged. Based on the evidence emerged from in-vitro test, a preliminary experimental on a human subject was performed to investigate tissue impedance variation due to vehicle absorption. Vehicle administration produced a decrease in impedance magnitude of the injection site. After vehicle administration, the impedance magnitude showed a tendency to return to the baseline value. This study demonstrated the feasibility of indirect drug absorption assessment by measuring the amount of drug disappearing from the site of administration in terms of impedance variation.
{"title":"Measuring insulin absorption by impedance spectroscopy. A feasibility study","authors":"G. Annuzzi, P. Arpaia, L. Bozzetto, Giusy Carleo, O. Cuomo, Francesca Mancino, N. Moccaldi, P. Ramos, M. Taglialatela","doi":"10.1109/MeMeA54994.2022.9856505","DOIUrl":"https://doi.org/10.1109/MeMeA54994.2022.9856505","url":null,"abstract":"An on chip-transducer based on bioimpedance spectroscopy for monitoring insulin absorption after subcutaneous administration is presented. The measurement of impedance variation allows to detect the disappearance of the drug from administration site, thus providing an indirect measure of drug absorption. In the first part of this paper, the hardware, firmware, and software of the transducer are presented. Then, the results from tests on eggplants are reported comparing their electrical response to vehicle and insulin administration. When the amount of solution increased, impedance variation was lower with insulin compared to vehicle. As matter of fact, in case of insulin, a sensitivity of 62.88 ml-1 and 44.07 ml-1was calculated for impedance magnitude and phase, respectively. In case of vehicle, a sensitivity of 171.21 ml-1 was calculated for impedance magnitude, whereas, a variation of 88.91 ml-1was observed for the impedance phase. Despite these differences, the same impedance magnitude and phase monotonous trend emerged. Based on the evidence emerged from in-vitro test, a preliminary experimental on a human subject was performed to investigate tissue impedance variation due to vehicle absorption. Vehicle administration produced a decrease in impedance magnitude of the injection site. After vehicle administration, the impedance magnitude showed a tendency to return to the baseline value. This study demonstrated the feasibility of indirect drug absorption assessment by measuring the amount of drug disappearing from the site of administration in terms of impedance variation.","PeriodicalId":106228,"journal":{"name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","volume":"23 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":"117017979","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}
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