2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)最新文献

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EMG-force estimation for multiple fingers 多指肌电力估计
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2013-12-01 DOI: 10.1109/SPMB.2013.6736772
Pu Liu, Donald R. Brown, E. Clancy, François Martel, D. Rancourt
{"title":"EMG-force estimation for multiple fingers","authors":"Pu Liu, Donald R. Brown, E. Clancy, François Martel, D. Rancourt","doi":"10.1109/SPMB.2013.6736772","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736772","url":null,"abstract":"Electromyogram (EMG) activity from the extensor and flexor muscles of the forearm was sensed with high-density surface electrode arrays and related to the force produced at the four fingertips during constant-posture, slowly force-varying contractions from three healthy subjects. Various electrode montages (spatial filters) and number of electrodes used in the system identification were studied. Average errors were small, ranging from 4.21 to 8.10 %MVCF (flexion maximum voluntary contraction), with errors trending lower when more EMG channels were used and when a monopolar electrode montage was selected. Results are supportive that multiple degrees of freedom of proportional control information are available from the surface EMG of the forearm, at least in intact subjects. Applications for future study include the control of prosthetic upper limb devices in amputees.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128088422","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}
引用次数: 8
A method to detect cardiac arrhythmias with a webcam 一种用网络摄像头检测心律失常的方法
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2013-12-01 DOI: 10.1109/SPMB.2013.6736785
Survi Kyal, L. K. Mestha, Beilei Xu, J. Couderc
{"title":"A method to detect cardiac arrhythmias with a webcam","authors":"Survi Kyal, L. K. Mestha, Beilei Xu, J. Couderc","doi":"10.1109/SPMB.2013.6736785","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736785","url":null,"abstract":"We describe a novel method to detect the presence of atrial fibrillation (A-Fib) by video recording of the face of a patient. The signal processing algorithm extracts A-Fib episodes by processing time-series signals generated by video images in a remote sensing environment. The process removes the non-stationary components of the green component of the RGB signal. Beat-to-beat pulse points are detected using an adaptive threshold technique; the successive thresholds are based on variations detected in previous magnitudes of the pulse peaks. The existence of cardiac arrhythmia is determined by quantifying the variability of the peak-to-peak intervals. We report preliminary results of our on-going study on six subjects undergoing electro-cardioversion for persistent A-Fib.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114019445","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}
引用次数: 10
Low-power signal processing methodologies for implantable biosensing platforms 植入式生物传感平台的低功耗信号处理方法
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2013-12-01 DOI: 10.1109/SPMB.2013.6736771
R. Croce, Santhisagar Vaddiraju, Allen Legassey, S. Islam, F. Papadimitrakopoulos, F. Jain
{"title":"Low-power signal processing methodologies for implantable biosensing platforms","authors":"R. Croce, Santhisagar Vaddiraju, Allen Legassey, S. Islam, F. Papadimitrakopoulos, F. Jain","doi":"10.1109/SPMB.2013.6736771","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736771","url":null,"abstract":"This paper presents the design and implementation of highly-miniaturized, low-power CMOS signal conditioning schemes intended for use in a totally implantable biomedical sensor platform. Due to the thrust for the development implantable biomedical sensing systems for health management and disease prevention, there exists a need for signal processing schemes which occupy very little on-chip real estate and consume negligible amounts of power. In light of this, this paper presents both a CMOS current-to-frequency converter and voltage-to-frequency converter which have been designed primarily for use in implantable biosensing platforms and applications. Such designs can be implemented in stand-alone single sensor designs, or in tandem to create multi-analyte architectures. The versatility of employing current-to-frequency as well as voltage-to-frequency signal transduction schemes presents an avenue for the integration with any electrochemical sensing element which has been fabricated in an amperometric or voltammetric fashion. Furthermore, we demonstrate the efficacy of both these circuit designs by integrating them together with high performance electrochemical implantable glucose and pH sensors. The low power consumption and miniature size of the amperometric and voltammetric signal processing units (0.25 mm2 and 18 μW / 0.045 mm2 and 122 μW, respectively) presents an ideal design for signal processing in implantable continuous metabolic monitoring devices.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114485392","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}
引用次数: 2
Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis 瞬时频率分析比频谱分析对副交感神经成分更敏感
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2013-12-01 DOI: 10.1109/SPMB.2013.6736766
B. Griffel, S. Calvano, S. Coyle, Marie A. Macor, B. U. Jan, M. Reddell, J. Semmlow, S. Corbett, S. Lowry
{"title":"Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis","authors":"B. Griffel, S. Calvano, S. Coyle, Marie A. Macor, B. U. Jan, M. Reddell, J. Semmlow, S. Corbett, S. Lowry","doi":"10.1109/SPMB.2013.6736766","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736766","url":null,"abstract":"Septic shock is a leading cause of hospital deaths in the United States. A system to detect initial immune response to an infection could allow for treatment before septic shock occurs, which would save many lives. Here, we demonstrate the analysis of beat-to-beat heart rate intervals using the Hilbert-Huang transform (HHT) as a method of detection of the immune/inflammatory response. The HHT is ideal for nonlinear nonstationary signals. This works by detecting differences in the heart rate variability (HRV), a marker of autonomic signaling to the heart. The instantaneous frequency (IF) as computed via the HHT was compared with spectral analysis and pNN50, Our data set were beat-to-beat intervals measured from subjects administered bacterial endotoxin ranging in dose from 0.1-2.0 ng/kg. Measurements were compared with placebo. While all measurements accurately differentiated the 2.0 ng/kg dosage and placebo groups, the IF showed improved discrimination at lower dosages. The first mode was found to be most significant for discrimination, though each mode could classify subjects with at least 77% accuracy, indicating that information is contained at many scales within the beat-to-beat intervals. The IF appears to have superior sensitivity to parasympathetic signaling reflected in the beat-to-beat interval.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123444969","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}
引用次数: 1
Reduced-order nonlinear arterial compliance parameter estimation under vasoactive states 血管活性状态下的降阶非线性动脉顺应性参数估计
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2013-12-01 DOI: 10.1109/SPMB.2013.6736780
Timothy S. Phan, J. Li
{"title":"Reduced-order nonlinear arterial compliance parameter estimation under vasoactive states","authors":"Timothy S. Phan, J. Li","doi":"10.1109/SPMB.2013.6736780","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736780","url":null,"abstract":"The arterial system is coupled with the heart, such that the pressure produced by the left ventricle of the heart is in tune to properties of the vasculature. A modified 3-element Windkessel model of the arterial system can closely approximate the complex load presented to the heart, but difficulties in estimating nonlinear arterial parameters have led compliance to be frequently modeled as a constant-valued element. Previously, a method that estimated the parameters from pressure- and flow-derived pressure-volume curves showed good estimates for high pressure and stiff arterial systems, but yielded poor results for lower pressure and compliant systems. We propose here a reduced-order approach in estimating nonlinear compliance parameters that yields good results for various vasocactive states corresponding to low-, normal, and high-pressure arterial systems in good agreement with previous experimental findings.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130547723","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}
引用次数: 3
Wavelet based photoplethysmogram foot delineation for heart rate variability applications 基于小波变换的光容积图足部描画在心率变异性中的应用
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2013-12-01 DOI: 10.1109/SPMB.2013.6736782
Nicholas J Conn, D. Borkholder
{"title":"Wavelet based photoplethysmogram foot delineation for heart rate variability applications","authors":"Nicholas J Conn, D. Borkholder","doi":"10.1109/SPMB.2013.6736782","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736782","url":null,"abstract":"A novel and easily implemented delineation algorithm is presented, which allows the foot of the photoplethsymogram to be located with sufficient accuracy for heart rate variability applications. This algorithm combines classical delineation techniques with the robustness of the wavelet transform. It can be implemented with a set of FIR filters and simple non-adaptive thresholding, making it suitable for real-time ambulatory applications. Results show that the accuracy of the algorithm matches that of a standard electrocardiogram delineation algorithm, the current standard for heart rate variability applications. The algorithm presented herein is also compared against four state-of-the-art delineation algorithms. Using a database that contains exercise data from thirteen patients across six activity levels and 7012 beats, a temporal accuracy of 3.8±2.6 ms (mean±std) was achieved with a sensitivity of 99.29% and a positive predictive value of 99.23%.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125452239","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}
引用次数: 8
Enhanced eye gaze direction classification using a combination of face detection, CHT and SVM 结合人脸检测、CHT和SVM的人眼注视方向分类
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2013-12-01 DOI: 10.1109/SPMB.2013.6736770
Amer A. Al-Rahayfeh, M. Faezipour
{"title":"Enhanced eye gaze direction classification using a combination of face detection, CHT and SVM","authors":"Amer A. Al-Rahayfeh, M. Faezipour","doi":"10.1109/SPMB.2013.6736770","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736770","url":null,"abstract":"Automatic estimation of eye gaze direction is an interesting research area in the field of computer vision that is growing rapidly with its wide range of potential applications. However, it is still a very challenging task to implement a robust eye gaze classification system. This paper proposes a robust eye detection system that uses face detection for finding the eyes region. The Circular Hough Transform (CHT) is used for locating the center of the iris. The parameters of the Circular Hough Transform are dynamically calculated based on the detected face information. A new method for eye gaze direction classification using Support Vector Machine (SVM) is introduced and combined with Circular Hough Transform to complete the task required. The experiments were performed on a database containing 4000 images of 40 subjects from different ages and genders. The algorithm achieved a classification accuracy of up to 92.1%.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127412537","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}
引用次数: 11
Prediction of longterm outcome of neuropsychological tests of MTBI patients using imaging features 利用影像学特征预测MTBI患者神经心理测试的长期结果
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 1900-01-01 DOI: 10.1109/SPMB.2013.6736783
Shervin Minaee, Yao Wang, Y. Lui
{"title":"Prediction of longterm outcome of neuropsychological tests of MTBI patients using imaging features","authors":"Shervin Minaee, Yao Wang, Y. Lui","doi":"10.1109/SPMB.2013.6736783","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736783","url":null,"abstract":"Mild Traumatic Brain Injury (MTBI) is a growing public health problem with an underestimated incidence of over one million people annually in the U.S. Neuropsychological tests are used to both assess the patient condition and to monitor patient progress. This work aims to use features extracted from MR images taken shortly after injury to predict the performance of MTBI patients on neuropsychological tests one year after injury. Successful prediction can enable early patient stratification and proper treatment planning. The goal of this project is to determine the most effective features and corresponding prediction method for such prediction. The main challenge is that we have only limited training data, from which we need to develop the prediction method that can be expected to provide accurate prediction results for unseen data. In the machine learning literature, feature selection is usually done to minimize the cross validation error, which still has a chance for overfitting if the available data set is small and noisy. We propose a novel criterion for feature selection, which considers both the cross validation error and the prediction model variance, to further reduce the chance for overfitting. The algorithm is applied to a data set of 15 MTBI patients. The proposed method was able to determine a subset of MR image features for predicting each neuropsychological test to yield both small prediction error and prediction variance.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126440724","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}
引用次数: 21
Robust adaptive dynamic programming for sensorimotor control with signal-dependent noise 具有信号依赖噪声的感觉运动控制鲁棒自适应动态规划
2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 1900-01-01 DOI: 10.1109/SPMB.2013.6736781
Yu Jiang, Zhong-Ping Jiang
{"title":"Robust adaptive dynamic programming for sensorimotor control with signal-dependent noise","authors":"Yu Jiang, Zhong-Ping Jiang","doi":"10.1109/SPMB.2013.6736781","DOIUrl":"https://doi.org/10.1109/SPMB.2013.6736781","url":null,"abstract":"As human beings, we coordinate movements and interact with our environment through sensory information and motor adaptation in our daily lives. Many characteristics of these interactions can be studied using optimization-based models, which assume that the precise knowledge of both the sensorimotor system and its interacting environment is available for the central nervous system (CNS). However, when static and dynamic uncertainties are present, the previously developed optimization models may fail to explain how the CNS can adapt to the uncertainties and still coordinate the movement. In this paper, we attempt to propose a novel computational mechanism for sensorimotor control from a perspective of robust adaptive dynamic programming (RADP). It is suggested that, instead of identifying the system dynamics of both the motor system and the environment, the CNS computes iteratively a robust optimal control policy for movement, using the real-time sensory data. With the help of numerical analysis and simulations, it is observed that the proposed model can reproduce movement trajectories which are consistent with experimental data. Consequently, we conjecture that, in order to achieve successful adaptation, this RADP-type mechanism may be used by the CNS of humans to coordinate movements in the presence of static/dynamic arising in the sensorimotor system.","PeriodicalId":182231,"journal":{"name":"2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132798068","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}
引用次数: 2
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