2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)最新文献_第2页

Software and Data Resources to Advance Machine Learning Research in Electroencephalography 促进脑电图机器学习研究的软件和数据资源

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037851

S. Rahman, M. Miranda, I. Obeid, J. Picone

引用次数: 0

Analyzing Dry Electrodes for Wearable Bioelectrical Impedance Analyzers 可穿戴式生物电阻抗分析仪干电极分析

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037863

M. Usman, A. Gupta, W. Xue

{"title":"Analyzing Dry Electrodes for Wearable Bioelectrical Impedance Analyzers","authors":"M. Usman, A. Gupta, W. Xue","doi":"10.1109/SPMB47826.2019.9037863","DOIUrl":"https://doi.org/10.1109/SPMB47826.2019.9037863","url":null,"abstract":"Dry electrodes are gaining popularity in the area of electronic health for biosignal measurements due to their reusability and comfort as compared to traditional gel-based wet Ag/AgCl electrodes. This paper presents a performance comparison of dry and wet electrodes for medical devices, in particular, for bioelectrical impedance analysis (BIA). BIA is an emerging technology widely used for body composition analysis by computing the impedance of the human body. The designed system for BIA consists of a wearable silicone ring with four copper electrodes. The experiment is conducted on 40 healthy human subjects using both the ring and the Ag/AgCl electrodes. The linear regression demonstrates a high correlation between both electrodes (r = 0.96 for resistance and r = 0.93 for reactance). The measurement of root mean square noise is determined for both electrodes. The dry electrodes demonstrate a higher noise level (1.96 mV) as compared to the wet electrodes (0.282 mV), mainly due to the absence of conductive gel. Moreover, fast Fourier transform is performed to determine and filter out unwanted signals and to reduce the noise level in the dry electrodes. The results demonstrate that the designed ring electrodes have a comparable performance with commercial Ag/AgCl electrodes and can be used in mobile wearable medical devices.","PeriodicalId":143197,"journal":{"name":"2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125006997","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

Predicting Subjective Sleep Quality Using Recurrent Neural Networks 用循环神经网络预测主观睡眠质量

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037854

Julien Boussard, Mykel J. Kochenderfer, J. Zeitzer

{"title":"Predicting Subjective Sleep Quality Using Recurrent Neural Networks","authors":"Julien Boussard, Mykel J. Kochenderfer, J. Zeitzer","doi":"10.1109/SPMB47826.2019.9037854","DOIUrl":"https://doi.org/10.1109/SPMB47826.2019.9037854","url":null,"abstract":"Our goal is to predict subjective sleep quality (SSQ) from objective sleep data and identify the causes and markers of the variances within “normal” sleep. Such information would increase our understanding of the causes of variation in SSQ and potentially improve our ability to improve SSQ. Previous approaches rely on human annotation of the electroencephalographic (EEG) brain signals, to deal with the noisy, high dimensional nature of the EEGs. We aim to use recurrent neural networks to directly analyze and extract useful information from EEG brain signals. We analyze population-based overnight sleep polysomnography data obtained from 4885 community-dwelling adults. We use convolutional and recurrent neural networks to process the EEGs and combine them with information related to health and lifestyle to predict subjective depth and restfulness of sleep. We compare the coefficient of determination to the ones obtained with regression methods and technician annotations of the EEGs in previous studies. Predicting SSQ from our data set of community-dwelling adults using RNNs to analyze the whole EEG signals appear to be less accurate than previous approaches predictions. It might be necessary to acquire more data, possibly with new variables that might be better correlated with SSQ. RNNs are, however, able to extract variables correlated with SSQ from EEG signals. Our results provide insights into how RNNs can be used to extract information from brain signals and how methods such as hierarchical clustering analysis can help neural networks predict subjective variables from polysomnography data.","PeriodicalId":143197,"journal":{"name":"2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114631822","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

[Copyright notice] (版权)

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/spmb47826.2019.9037850

引用次数: 0

A System for Measuring Sound Transmission Through Joints 一种测量关节声传输的系统

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037844

T. Hassan, L. McKinney, R. Sandler, A. Kassab, C. Price, F. Moslehy, H. Mansy

{"title":"A System for Measuring Sound Transmission Through Joints","authors":"T. Hassan, L. McKinney, R. Sandler, A. Kassab, C. Price, F. Moslehy, H. Mansy","doi":"10.1109/SPMB47826.2019.9037844","DOIUrl":"https://doi.org/10.1109/SPMB47826.2019.9037844","url":null,"abstract":"Sound transmission in the human body can be affected by the tissue composition along the sound path and surrounding structures. Therefore, acoustic transmission may correlate with pathologies involving structural changes. Previous studies utilized sound transmission to detect a variety of pulmonary, gastrointestinal, vascular, cardiac conditions, and developmental dysplasia of the hip (DDH) [1] [2] [3] [4] [5] [6] . The objective of this study is to design and test a reliable system capable of providing adequate acoustic stimulus, and simultaneously measure transmitted signals at multiple skin surface locations. The study objectives include determining: (1) the static load needed to reach a target SNR (>20 dB) at the measurement points and a target coherence (>0.8) between excitation and measurement points; (2) the exciter sensitivity to static load changes; and (3) the exciter input maximum power and corresponding acceleration. These results will help guide the choice of optimal exciter that: (1) can withstand sufficient static load (~500g), which would provide coupling to the bone to reach a target SNR and coherence; (2) has low sensitivity to load (low variability for a load change ~100 gm); (3) can provide sufficient acoustic excitation energy to maintain the target SNR and coherence; (4) be available at a reasonable cost (~<$500); (5) ensures patient comfort (with no subject discomfort reported for a contact area of ~ 2 cm 2 ).","PeriodicalId":143197,"journal":{"name":"2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948112","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

A Pilot Study on Predicting Daytime Behavior & Sleep Quality in Children With ASD 预测ASD儿童日间行为与睡眠质量的初步研究

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037858

A. Alivar, C. Carlson, A. Suliman, S. Warren, P. Prakash, D. Thompson, B. Natarajan

引用次数: 3

Modeling Seismocardiographic Signal using Finite Element Modeling and Medical Image Processing 用有限元建模和医学图像处理建模地震心动图信号

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037842

P. Gamage, M. K. Azad, R. Sandler, H. Mansy

{"title":"Modeling Seismocardiographic Signal using Finite Element Modeling and Medical Image Processing","authors":"P. Gamage, M. K. Azad, R. Sandler, H. Mansy","doi":"10.1109/SPMB47826.2019.9037842","DOIUrl":"https://doi.org/10.1109/SPMB47826.2019.9037842","url":null,"abstract":"Seismocardiography (SCG) is the measurement of the chest surface accelerations that are primarily produced by a combination of mechanical activities of the heart, such as valve closures and openings, blood momentum changes and myocardial movements [ 1 – 3 ]. The complex nature of these processes has made it challenging to relate the morphology of the SCG signal to its genesis. Certain studies have used medical imaging to identify several feature points of the SCG signal by correlating their occurrence time with the corresponding cardiac events seen in imaging [4 , 5] . However, these findings remain inconclusive [6] . The localized movements (i.e. valve openings and closures, ventricular contractions, blood flow accelerations etc.) may superimpose causing complex movements where original movements may amplify or nullify as they reach the chest surface and affect SCG morphology. Hence, SCG signal can also be described as the propagated vibrations generated by individual sources (i.e., valve closures and openings, blood flow accelerations). These vibrations displace their more immediate boundaries (e.g., pericardium, Aorta wall) and surrounding tissues (e.g. lung tissue, ribs, chest wall muscle and skin) before they are detected at the chest surface. Hence, modeling the propagation of overall cardiac wall motion to the chest surface may help enhance our understanding of SCG genesis.","PeriodicalId":143197,"journal":{"name":"2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132374565","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

Strados Labs: An Efficient Process to Acquire and Characterize Clinically Validated Respiratory System Information Using a Non-Invasive Bio-Sensor Strados实验室:使用非侵入性生物传感器获取和表征临床验证的呼吸系统信息的有效过程

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037836

N. Capp, V. Fauveau, Y. Au, P. Glasser, T. Muqeem, G. Hassen, A. Cardenas

{"title":"Strados Labs: An Efficient Process to Acquire and Characterize Clinically Validated Respiratory System Information Using a Non-Invasive Bio-Sensor","authors":"N. Capp, V. Fauveau, Y. Au, P. Glasser, T. Muqeem, G. Hassen, A. Cardenas","doi":"10.1109/SPMB47826.2019.9037836","DOIUrl":"https://doi.org/10.1109/SPMB47826.2019.9037836","url":null,"abstract":"Patients with respiratory diseases are often rushed to the emergency room with acute decompensation. If not managed properly, chronic respiratory disease prolongs the episode of care or leads to hospital readmissions that are costly and burdensome to the patient. The current standard of care, in an inpatient setting, relies on labor-intensive, eSpisodic clinical assessments to detect signs of worsening disease progression. In the outpatient setting, disease monitoring relies solely on self-reporting by patients. Occasionally, patients have the aid of an instrument, such as a peak flow meter, but these aids are prone to user error and cannot always accurately report critical data 0. Additionally, patients with COPD (Chronic Obstructive Pulmonary Disease) and asthma often receive inadequate treatment due to poor communication between the patient and clinician [2] – [3] , poor disease status assessment by the clinician, inconsistent use of medication [4] – [5] , or the unreliability of peak flow measurements 0. A system capable of continuously and remotely monitoring a patient’s respiratory health could address this disconnect in patient care. Utilizing an intelligent patient monitoring system could improve patient care triage, reduce the length of hospital stay, lower the healthcare costs incurred by expensive pulmonary complications, and standardize the objective assessment of a patient’s respiratory health.","PeriodicalId":143197,"journal":{"name":"2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132210527","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: 0

Commodity Sensors, Physiological Signals, Research Opportunities, and Practical Issues 商品传感器，生理信号，研究机会和实际问题

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037855

Michael W. Stanford, V. Stanford

引用次数: 1

Comparison of EMG-Force Calibration Protocols for Myoelectric Control of Prostheses 假肢肌电控制的肌电-力标定方案比较

2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Pub Date : 2019-12-01 DOI: 10.1109/SPMB47826.2019.9037835

Z. Zhu, J. Li, C. Dai, C. Martinez-Luna, B. McDonald, T. Farrell, X. Huang, E. Clancy

引用次数: 0