Pub Date : 2015-05-07DOI: 10.1109/MeMeA.2015.7145180
Nuno M. M. Pires, T. Dong
An integrated capillary-flow driven opto-microfluidic device for on-site, parallel detection of bio-analytes has been demonstrated in this work. An array of capillary-induced flow microchannels and chambers were arranged on a microfluidic chip made of poly(methyl methacrylate). This poly(methyl methacrylate) chip was further integrated with an array of eight ring-shaped organic photodiodes for measuring chemiluminescence of pathogen immunoassays. Highly sensitive detection of chemiluminescence was ensured by the use of gold nanoparticles, which were attached to the chambers of the microfluidic chip. The developed device demonstrated a detection limit in the range of ~104 cells/mL for bacteria detection in water. Furthermore, the device revealed feasibility to perform parallel detection of two types of bacteria and two types of viruses quantitatively. The presented concept may offer a promising route to realize truly in-the-field devices for medical and/or environmental measurements.
{"title":"On-site, parallel detection of bio-analytes in water by an integrated capillary flow based opto-microfluidic device","authors":"Nuno M. M. Pires, T. Dong","doi":"10.1109/MeMeA.2015.7145180","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145180","url":null,"abstract":"An integrated capillary-flow driven opto-microfluidic device for on-site, parallel detection of bio-analytes has been demonstrated in this work. An array of capillary-induced flow microchannels and chambers were arranged on a microfluidic chip made of poly(methyl methacrylate). This poly(methyl methacrylate) chip was further integrated with an array of eight ring-shaped organic photodiodes for measuring chemiluminescence of pathogen immunoassays. Highly sensitive detection of chemiluminescence was ensured by the use of gold nanoparticles, which were attached to the chambers of the microfluidic chip. The developed device demonstrated a detection limit in the range of ~104 cells/mL for bacteria detection in water. Furthermore, the device revealed feasibility to perform parallel detection of two types of bacteria and two types of viruses quantitatively. The presented concept may offer a promising route to realize truly in-the-field devices for medical and/or environmental measurements.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"7 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128749275","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145181
Praful P. Pai, P. K. Sanki, S. Banerjee
The paper examines the use of photoacoustic spectroscopy (PAS) for making continuous non-invasive blood glucose measurements. An apparatus for performing photoacoustic (PA) measurements is constructed and the technique is verified in vitro and in vivo through measurements on glucose solutions and live tissue. The signal amplitude is observed to increase with the glucose concentration in both cases. A linear calibration method is applied on each individual to obtain a glucose concentration value from each PA measurement. The glucose values obtained are compared with reference glucose concentrations measured using a standard glucose meter, giving a mean absolute difference (MAD) of 23.75 mg/dl and a mean absolute relative difference (MARD) of 18.03%. A plot of 196 measurement pairs taken over 30 normal subjects on a Clarke Error Grid gives a point distribution of 67.86%, 31.12%, 0.0%, 1.02% and 0.0% over zones A to E of the grid. This performance is an improvement over those obtained previously using PAS and point to the potential of the technique for non-invasive glucose measurements. An FPGA based reconfigurable embedded architecture is proposed for high speed data acquisition, noise reduction and display of PA measurements. The architecture operates at 274.823 MHz on a Xilinx Virtex-II Pro FPGA providing an SNR improvement of 30 dB and enabling a portable blood glucose monitoring system.
本文探讨了使用光声光谱(PAS)进行连续无创血糖测量。构建了一种光声(PA)测量装置，并通过对葡萄糖溶液和活组织的测量在体外和体内验证了该技术。在这两种情况下，观察到信号振幅随葡萄糖浓度的增加而增加。对每个个体应用线性校准方法，从每个PA测量中获得葡萄糖浓度值。将得到的葡萄糖值与使用标准血糖仪测量的参考葡萄糖浓度进行比较，得出平均绝对差(MAD)为23.75 mg/dl，平均绝对相对差(MARD)为18.03%。在Clarke误差网格上，对30名正常受试者进行196对测量，得出网格A到E区域上的点分布分别为67.86%、31.12%、0.0%、1.02%和0.0%。这一性能比以前使用PAS获得的性能有所改进，并指出了该技术在非侵入性血糖测量方面的潜力。提出了一种基于FPGA的可重构嵌入式结构，用于PA测量的高速数据采集、降噪和显示。该架构在Xilinx Virtex-II Pro FPGA上工作频率为274.823 MHz，信噪比提高30 dB，可实现便携式血糖监测系统。
{"title":"A photoacoustics based continuous non-invasive blood glucose monitoring system","authors":"Praful P. Pai, P. K. Sanki, S. Banerjee","doi":"10.1109/MeMeA.2015.7145181","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145181","url":null,"abstract":"The paper examines the use of photoacoustic spectroscopy (PAS) for making continuous non-invasive blood glucose measurements. An apparatus for performing photoacoustic (PA) measurements is constructed and the technique is verified in vitro and in vivo through measurements on glucose solutions and live tissue. The signal amplitude is observed to increase with the glucose concentration in both cases. A linear calibration method is applied on each individual to obtain a glucose concentration value from each PA measurement. The glucose values obtained are compared with reference glucose concentrations measured using a standard glucose meter, giving a mean absolute difference (MAD) of 23.75 mg/dl and a mean absolute relative difference (MARD) of 18.03%. A plot of 196 measurement pairs taken over 30 normal subjects on a Clarke Error Grid gives a point distribution of 67.86%, 31.12%, 0.0%, 1.02% and 0.0% over zones A to E of the grid. This performance is an improvement over those obtained previously using PAS and point to the potential of the technique for non-invasive glucose measurements. An FPGA based reconfigurable embedded architecture is proposed for high speed data acquisition, noise reduction and display of PA measurements. The architecture operates at 274.823 MHz on a Xilinx Virtex-II Pro FPGA providing an SNR improvement of 30 dB and enabling a portable blood glucose monitoring system.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128494289","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145169
D. Hadhazi, R. Varga, Á. Horváth, Benjamin Czétényi, G. Horváth, Á. Horváth
In this paper, we present the main parts of a complete lung diagnostic system using digital tomosynthesis, and the first results obtained analyzing real tomosynthesis (DTS) images. In a DTS system first coronal image slices are reconstructed from projections using iterative and MITS reconstruction algorithms. Nodule detection is based on 2D image processing on the separated slice images, and a joint further analysis of the 2D results. We propose efficient, domain-specific filters for the enhancement and classification of bright, rounded structures. Also we develop a vessel enhancing algorithm based on strain energy filters. Vessel enhancement is required because most of the false positive findings come from nodule-like vessel shadows in the images. To reduce false positive findings SVM-based classifiers are applied, where features obtained from the vessel enhancement module are used as inputs. The system was evaluated on the first DTS scans, obtained from our experimental DTS system. The database contains ~2000 nodule candidates. 97% of nodules could be detected, while producing on average 31 false positives per scan.
{"title":"Digital chest tomosynthesis: The main steps to a computer assisted lung diagnostic system","authors":"D. Hadhazi, R. Varga, Á. Horváth, Benjamin Czétényi, G. Horváth, Á. Horváth","doi":"10.1109/MeMeA.2015.7145169","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145169","url":null,"abstract":"In this paper, we present the main parts of a complete lung diagnostic system using digital tomosynthesis, and the first results obtained analyzing real tomosynthesis (DTS) images. In a DTS system first coronal image slices are reconstructed from projections using iterative and MITS reconstruction algorithms. Nodule detection is based on 2D image processing on the separated slice images, and a joint further analysis of the 2D results. We propose efficient, domain-specific filters for the enhancement and classification of bright, rounded structures. Also we develop a vessel enhancing algorithm based on strain energy filters. Vessel enhancement is required because most of the false positive findings come from nodule-like vessel shadows in the images. To reduce false positive findings SVM-based classifiers are applied, where features obtained from the vessel enhancement module are used as inputs. The system was evaluated on the first DTS scans, obtained from our experimental DTS system. The database contains ~2000 nodule candidates. 97% of nodules could be detected, while producing on average 31 false positives per scan.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126461871","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145227
G. Frigo, M. Rubega, G. Lezziero, R. Fontana, C. Cecchetto, S. Vassanelli, G. Sparacino, Matteo Bertocco
Recent improvements in microelectrodes technology have enabled neuroscientists to record electrophysiological signals from hundreds of neurons and simultaneously from a large number of channels. However, several environmental factors may introduce noise and artefacts and affect proper interpretation of recordings. Thus, the development of appropriate signal acquisition and processing platforms dealing with large data sets and in real-time represents a current fundamental challenge. In the present work, we present an easily-expandable Lab VIEW based software for handling data in real-time during a multichannel neurophysiological signal acquisition. The software was designed to exploit modern MultiCore CPUs for large scale data processing and, by freely setting key acquisition parameters, to work with virtually any kind of biological signal. The software allows for data storage in MATLAB format to facilitate off-line signal processing. Examples of local field potential signal acquisitions from the mouse hippocampus are reported to illustrate software features.
{"title":"A software-based platform for multichannel electrophysiological data acquisition","authors":"G. Frigo, M. Rubega, G. Lezziero, R. Fontana, C. Cecchetto, S. Vassanelli, G. Sparacino, Matteo Bertocco","doi":"10.1109/MeMeA.2015.7145227","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145227","url":null,"abstract":"Recent improvements in microelectrodes technology have enabled neuroscientists to record electrophysiological signals from hundreds of neurons and simultaneously from a large number of channels. However, several environmental factors may introduce noise and artefacts and affect proper interpretation of recordings. Thus, the development of appropriate signal acquisition and processing platforms dealing with large data sets and in real-time represents a current fundamental challenge. In the present work, we present an easily-expandable Lab VIEW based software for handling data in real-time during a multichannel neurophysiological signal acquisition. The software was designed to exploit modern MultiCore CPUs for large scale data processing and, by freely setting key acquisition parameters, to work with virtually any kind of biological signal. The software allows for data storage in MATLAB format to facilitate off-line signal processing. Examples of local field potential signal acquisitions from the mouse hippocampus are reported to illustrate software features.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124023067","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145279
G. Sassi, S. Pavarelli, C. Divieto, M. Sassi
Pharmaceutical industries have declared their need of metrology in the cellular field, to improve new drugs developing time and costs by high-content screening technologies. Cell viability and proliferation tests largely use confluency of cells on a bi-dimensional (2D) surface as a biological measurand. The confluency is measured from images of 2D surface acquired via microscopy techniques. The plethora of algorithms already in use aims at recognizing objects from images and identifies a threshold to distinguish objects from the background. The reference method is the visual assessment from an operator and any objective uncertainty estimation is not yet available. A method to estimate the image analysis contribution to confluency uncertainty is here proposed. A maximum and a minimum threshold are identified from a visual assessment of the free edge of the cells. An application to a fluorescence microscopy image of 2D of PT-45 cell cultures is reported. Results shows that the method can be a promising solution to associate an uncertainty to cell confluency measurements to enhance reliability and efficiency of high-content screening technologies.
{"title":"Uncertainty in cell confluency measurements","authors":"G. Sassi, S. Pavarelli, C. Divieto, M. Sassi","doi":"10.1109/MeMeA.2015.7145279","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145279","url":null,"abstract":"Pharmaceutical industries have declared their need of metrology in the cellular field, to improve new drugs developing time and costs by high-content screening technologies. Cell viability and proliferation tests largely use confluency of cells on a bi-dimensional (2D) surface as a biological measurand. The confluency is measured from images of 2D surface acquired via microscopy techniques. The plethora of algorithms already in use aims at recognizing objects from images and identifies a threshold to distinguish objects from the background. The reference method is the visual assessment from an operator and any objective uncertainty estimation is not yet available. A method to estimate the image analysis contribution to confluency uncertainty is here proposed. A maximum and a minimum threshold are identified from a visual assessment of the free edge of the cells. An application to a fluorescence microscopy image of 2D of PT-45 cell cultures is reported. Results shows that the method can be a promising solution to associate an uncertainty to cell confluency measurements to enhance reliability and efficiency of high-content screening technologies.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129130226","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145206
A. Demichelis, C. Divieto, L. Mortati, M. Sassi, G. Sassi
Recent studies recognized the cell stiffness changes as a marker for cancer detection. Reliable and reproducible measurements of elastic modulus, mapping different cell regions are the basis for developing a new methodology for cancer detection. To this aim, a metrological characterized AFM microscope has been developed, micro- and nano-indentation of soft materials, used as elastic modulus reference, were done and a robust statistical data analysis has been performed. Contact images and force mapping of A549 living cells allowed 4% measurement relative reproducibility. A modal cell elastic modulus 0.5 kPa, was obtained. A highly spatially resolved stiffness distribution on the overall cell regions has been obtained through data analysis, realizing a powerful tool for cell mechanics analysis.
{"title":"Preliminary measurements of elasticity properties of lung tumor living cells for cancer detection","authors":"A. Demichelis, C. Divieto, L. Mortati, M. Sassi, G. Sassi","doi":"10.1109/MeMeA.2015.7145206","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145206","url":null,"abstract":"Recent studies recognized the cell stiffness changes as a marker for cancer detection. Reliable and reproducible measurements of elastic modulus, mapping different cell regions are the basis for developing a new methodology for cancer detection. To this aim, a metrological characterized AFM microscope has been developed, micro- and nano-indentation of soft materials, used as elastic modulus reference, were done and a robust statistical data analysis has been performed. Contact images and force mapping of A549 living cells allowed 4% measurement relative reproducibility. A modal cell elastic modulus 0.5 kPa, was obtained. A highly spatially resolved stiffness distribution on the overall cell regions has been obtained through data analysis, realizing a powerful tool for cell mechanics analysis.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123099133","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145268
M. Vasconcelos, Luís Rosado, M. Ferreira
The incidence of melanoma has been increasing steadily over the past few decades throughout most of the world. The development of computer diagnosis systems that use dermoscopic images can be of great help for the diagnosis of melanoma. This paper presents an image processing and analysis methodology using supervised classification to independently assess the Asymmetry, Border, Color and Dermoscopic Structures score according to the ABCD rule, and the corresponding Total Dermatoscopy Score of a skin lesion using dermoscopic images. A dermoscopic image dataset was used to test the proposed approach, annotated by dermatology specialists according to the ABCD rule and being the confirmed malignant melanomas also identified. Accuracy rates of 74.0%, 78.3% and 53.5% were achieved for the estimation of the ABCD score of the Asymmetry, Border and Color criterion, as well as accuracy rates for the presence of the five Differential Structures of 72.4%, 68.5%, 74.0%, 74.0% and 85.8% for dots, globules, streaks homogeneous areas and pigment network. Moreover, sensitivity and specificity rates of 93.3% and 69.1% were achieved for the classification of the dermoscopic images as melanoma or non-melanoma.
{"title":"A new risk assessment methodology for dermoscopic skin lesion images","authors":"M. Vasconcelos, Luís Rosado, M. Ferreira","doi":"10.1109/MeMeA.2015.7145268","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145268","url":null,"abstract":"The incidence of melanoma has been increasing steadily over the past few decades throughout most of the world. The development of computer diagnosis systems that use dermoscopic images can be of great help for the diagnosis of melanoma. This paper presents an image processing and analysis methodology using supervised classification to independently assess the Asymmetry, Border, Color and Dermoscopic Structures score according to the ABCD rule, and the corresponding Total Dermatoscopy Score of a skin lesion using dermoscopic images. A dermoscopic image dataset was used to test the proposed approach, annotated by dermatology specialists according to the ABCD rule and being the confirmed malignant melanomas also identified. Accuracy rates of 74.0%, 78.3% and 53.5% were achieved for the estimation of the ABCD score of the Asymmetry, Border and Color criterion, as well as accuracy rates for the presence of the five Differential Structures of 72.4%, 68.5%, 74.0%, 74.0% and 85.8% for dots, globules, streaks homogeneous areas and pigment network. Moreover, sensitivity and specificity rates of 93.3% and 69.1% were achieved for the classification of the dermoscopic images as melanoma or non-melanoma.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124588615","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145283
V. Agostini, D. Paradiso, F. Molinari, D. Rimini, M. Knaflitz, W. Liboni
Near Infrared Spectroscopy (NIRS) allows for assessing brain hemodynamics non-invasively. In NIRS studies, the maneuver of breath holding is frequently used as an activation of the brain autoregulation response. However, breath holding is not always feasible or effective in the clinical practice. We explored the possibility of using kapalabathi, an ancient yoga respiration technique, as an alternate activation maneuver. We studied the brain oxygenation response to kapalabathi, in yoga practitioners, in three different postures. In all the three postures considered Kapalabathi produces a measurable effect on the oxygen availability at the brain cortex level. Remarkable differences were observed in the brain autoregulatory response of smoker and non-smoker practitioners.
{"title":"NIRS assessment of brain hemodynamics","authors":"V. Agostini, D. Paradiso, F. Molinari, D. Rimini, M. Knaflitz, W. Liboni","doi":"10.1109/MeMeA.2015.7145283","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145283","url":null,"abstract":"Near Infrared Spectroscopy (NIRS) allows for assessing brain hemodynamics non-invasively. In NIRS studies, the maneuver of breath holding is frequently used as an activation of the brain autoregulation response. However, breath holding is not always feasible or effective in the clinical practice. We explored the possibility of using kapalabathi, an ancient yoga respiration technique, as an alternate activation maneuver. We studied the brain oxygenation response to kapalabathi, in yoga practitioners, in three different postures. In all the three postures considered Kapalabathi produces a measurable effect on the oxygen availability at the brain cortex level. Remarkable differences were observed in the brain autoregulatory response of smoker and non-smoker practitioners.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117354397","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145226
Yunfeng Wu, Xin Luo, Pinnan Chen, Lifang Liao, Shanshan Yang, R. Rangayyan
In this paper, we derive forward autoregressive models to describe the stochastic process underlying stride interval series related to idiopathic Parkinson's disease. The parameters of the autoregressive model that specify pole locations in the complex z-plane were used as dominant features for the separation of gait series of healthy subjects and patients with Parkinson's disease. Based on the autoregressive parameters, linear discriminant analysis and support vector machines can provide classification accurate rates over 74% and area larger than 0.8 under the receiver operating characteristic curve. The results obtained show that the autoregressive model parameters could be useful for classification of stride series.
{"title":"Forward autoregressive modeling for stride process analysis in patients with idiopathic Parkinson's disease","authors":"Yunfeng Wu, Xin Luo, Pinnan Chen, Lifang Liao, Shanshan Yang, R. Rangayyan","doi":"10.1109/MeMeA.2015.7145226","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145226","url":null,"abstract":"In this paper, we derive forward autoregressive models to describe the stochastic process underlying stride interval series related to idiopathic Parkinson's disease. The parameters of the autoregressive model that specify pole locations in the complex z-plane were used as dominant features for the separation of gait series of healthy subjects and patients with Parkinson's disease. Based on the autoregressive parameters, linear discriminant analysis and support vector machines can provide classification accurate rates over 74% and area larger than 0.8 under the receiver operating characteristic curve. The results obtained show that the autoregressive model parameters could be useful for classification of stride series.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130177297","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 : 2015-05-07DOI: 10.1109/MeMeA.2015.7145241
C. Luca, D. Andritoi, C. Corciova, R. Ciorap
In this paper we studied the influence of electromagnetic wireless communications traffic on sensitive medical equipment used in intensive care units. We have identified the main sources of disruptive electromagnetic field existing in a neonatal intensive care unit and studied the influence of wireless communication systems type GSM and DECT 900 on the main operating parameters set to a neonatal mechanical ventilator. After studies we observed that the important parameters used in assisted mechanical ventilation such as expiratory volume, inspiratory pressure, expiratory pressure, mean pressure and tidal volume suffer significant changes when wireless communication disturbing source is at walking distance of sensitive medical equipment.
{"title":"Study on the influence of wireless communication technology on sensitive medical equipments","authors":"C. Luca, D. Andritoi, C. Corciova, R. Ciorap","doi":"10.1109/MeMeA.2015.7145241","DOIUrl":"https://doi.org/10.1109/MeMeA.2015.7145241","url":null,"abstract":"In this paper we studied the influence of electromagnetic wireless communications traffic on sensitive medical equipment used in intensive care units. We have identified the main sources of disruptive electromagnetic field existing in a neonatal intensive care unit and studied the influence of wireless communication systems type GSM and DECT 900 on the main operating parameters set to a neonatal mechanical ventilator. After studies we observed that the important parameters used in assisted mechanical ventilation such as expiratory volume, inspiratory pressure, expiratory pressure, mean pressure and tidal volume suffer significant changes when wireless communication disturbing source is at walking distance of sensitive medical equipment.","PeriodicalId":277757,"journal":{"name":"2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129675781","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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