Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)最新文献_第5页

Fault tolerant glucose sensor readout and recalibration 容错葡萄糖传感器读出和重新校准

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077585

Z. Zilic, K. Radecka

引用次数: 11

Rejection of irrelevant human actions in real-time hidden Markov model based recognition systems for wearable computers 基于隐马尔可夫模型的可穿戴计算机实时识别系统中不相关人类行为的拒绝

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077555

Jerry Mannil, Mohammad-Mahdi Bidmeshki, R. Jafari

{"title":"Rejection of irrelevant human actions in real-time hidden Markov model based recognition systems for wearable computers","authors":"Jerry Mannil, Mohammad-Mahdi Bidmeshki, R. Jafari","doi":"10.1145/2077546.2077555","DOIUrl":"https://doi.org/10.1145/2077546.2077555","url":null,"abstract":"Hidden Markov Model (HMM) is a well established technique for detecting patterns in a stream of observations. It performs well when the observation sequence does not contain unseen patterns that were not part of the training set. In an unconstrained environment, the observation sequence might contain new patterns that the HMM model is not familiar with. In such cases, HMM will match the test pattern to some trained pattern, which is most similar to the test pattern. This increases the false positives in the system. In this paper, we are describing a threshold based technique to detect such irrelevant patterns in a continuous stream of observations, and classify them as unwanted or bad patterns. The novelty of our approach is that it allows early detection of unwanted patterns. Test patterns are validated on a fixed length substring of observation sequence, rather than on the whole observation sequence corresponding to the test pattern. The substrings are validated based on its similarity with a valid pattern using a threshold value. This reduces the latency of detection of unwanted movement, and makes the detection process independent of duration of the various pattern classes. We evaluated this technique in the context of body sensor networks based human action recognition, and have achieved about 93 percent accuracy in detecting unwanted actions, while maintaining a 94 percent accuracy of recognizing valid actions.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87161307","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: 7

A wireless biomedical handheld instrument for evidence-based detection of pressure ulcers 一种用于压疮循证检测的无线生物医学手持仪器

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077582

Frank Wang, Yeung Lam, A. Mehrnia, B. Bates-Jensen, M. Sarrafzadeh, W. Kaiser

{"title":"A wireless biomedical handheld instrument for evidence-based detection of pressure ulcers","authors":"Frank Wang, Yeung Lam, A. Mehrnia, B. Bates-Jensen, M. Sarrafzadeh, W. Kaiser","doi":"10.1145/2077546.2077582","DOIUrl":"https://doi.org/10.1145/2077546.2077582","url":null,"abstract":"Pressure Ulcer (PU) incidence leads to considerable risk, in particular for the frail elderly, and a large national healthcare treatment cost. Evidence-based methods for assuring the health and safety of patients are urgently needed. Recent clinical trials have demonstrated that sub-epidermal moisture (SEM) present in tissue may be measured by interrogation of tissue dielectric properties and are associated with the presence of erythema and development of early stage PU conditions. A novel wireless handheld device has been developed and will be demonstrated that introduces a series of advances including automated measurement, automated measurement method assurance including application of proper measurement applied pressure, and wireless energy recharge capability. This advances previous successful prototype development to now include a complete point-of-care usage product. This device, termed the SEM Scanner, was successfully verified in trials with 30 subjects and is currently deployed in large clinical trials in nursing homes in Los Angeles. This manuscript and the planned demonstration describe a set of significant technology advances over previous technology based on both new Wireless Health hardware and software system solutions. In addition to the demonstration to be provided of a novel end-to-end system including data acquisition, data archiving, reporting, and compliance verification, data from trials will also be presented.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"5 1","pages":"33"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88821730","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 multi-modal emotion recognition system for persistent and non-invasive personal health monitoring 用于持续和非侵入性个人健康监测的多模态情感识别系统

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077577

Xiaoqing Liu, Lei Zhang, J. Yadegar

引用次数: 1

In home assessment and management of health and wellness with BeClose#8482; ambient, artificial intelligence 在家庭评估和管理健康和保健方面，使用# BeClose 8482;环境、人工智能

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077574

M. Hanson, Adam T. Barth, Christopher Silverman

引用次数: 7

StressBar: a system for stress information collection 应力条:一个应力信息收集系统

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077578

Dajun Lu, Guoxing Zhan, Shinan Wang, Weisong Shi, Clairy Wiholm, B. Arnetz

引用次数: 1

Filters that remember: duty cycling analog circuits for long term medical monitoring 记住过滤器:用于长期医疗监测的占空比模拟电路

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077550

Zainul Charbiwala, J. Friedman, M. Srivastava, B. Kuris

{"title":"Filters that remember: duty cycling analog circuits for long term medical monitoring","authors":"Zainul Charbiwala, J. Friedman, M. Srivastava, B. Kuris","doi":"10.1145/2077546.2077550","DOIUrl":"https://doi.org/10.1145/2077546.2077550","url":null,"abstract":"With recent improvements in the energy efficiency of digital microprocessors and radio transceivers, the relative contribution of the analog front end in the overall power consumption of a wireless health system has been steadily rising. A key reason for this is that sampling rates in most medical applications are extremely low, providing opportunities to aggressively duty cycle the power hungry processor and radio. Analog front ends have not traditionally been duty cycled because analog filters with large time constants dictate a prohibitively high wake up latency. In this paper, we show that this latency can be reduced to a large extent and duty cycling made feasible by making filters \"remember\" their state across power gating cycles. This is done using slight hardware modifications that can even be applied to existing boards. We illustrate our technique on a commercially available wireless electro-cardiography system. Using our methodology, we reduced the restart delay of the circuit by three orders of magnitude from 6s to 5ms. We employ our circuit design for energy efficient QRS complex detection and extraction, which results in a 3× reduction in analog front end energy consumption.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"325 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91429766","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

Continuous, non-invasive assessment of agitation in dementia using inertial body sensors 使用惯性体传感器对痴呆患者躁动进行连续、无创评估

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077548

Azziza Bankole, M. Anderson, Aubrey Knight, Kyunghui Oh, T. Smith-Jackson, M. Hanson, Adam T. Barth, J. Lach

{"title":"Continuous, non-invasive assessment of agitation in dementia using inertial body sensors","authors":"Azziza Bankole, M. Anderson, Aubrey Knight, Kyunghui Oh, T. Smith-Jackson, M. Hanson, Adam T. Barth, J. Lach","doi":"10.1145/2077546.2077548","DOIUrl":"https://doi.org/10.1145/2077546.2077548","url":null,"abstract":"Agitated behavior is one of the most frequent reasons that patients with dementia are placed in long-term care settings. These behaviors are indicators of distress and are associated with increased risk of injury to the patients and their caregivers. This study aims to explore the ability of a custom inertial wireless body sensor network (BSN) to objectively detect and quantify agitation, validating against currently accepted subjective clinical measures -- the Cohen-Mansfield Agitation Inventory (CMAI) and the Aggressive Behavior Scale (ABS) -- within the nursing home setting. The ultimate goal is to enable continuous, real-time monitoring of physical agitation in any location over an extended period. Continuous, longitudinal assessment facilitates timely response to agitation events in order to minimize patient distress and risk for injury, to more appropriately titrate pharmacotherapy, and to enable staff (or caregivers) to successfully intervene.\u0000 Six patients identified as being at high risk for agitated behaviors were enrolled in this pilot study. Patients underwent a series of the above validated tests of memory and agitation. The BSN nodes were applied at three sites on body for three hours while behaviors were annotated simultaneously. This process was subsequently repeated twice for each enrolled subject. The BSN data was then processed using Teager energy analysis, which an earlier study suggested was a promising method for extracting jerky and repetitive movements from inertial data. Results based on construct validity testing for agitation (CMAI) and aggression (ABS) were promising and suggest that additional study with larger sample sizes is warranted.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"43 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74465085","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: 26

Body-worn, non-invasive sensor for monitoring stroke volume, cardiac output and cardiovascular reserve 用于监测脑卒中量、心输出量和心血管储备的穿戴式无创传感器

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077575

I. Henry, D. Bernstein, Matt J. Banet, Jane Mulligan, S. Moulton, G. Grudic, V. Convertino

{"title":"Body-worn, non-invasive sensor for monitoring stroke volume, cardiac output and cardiovascular reserve","authors":"I. Henry, D. Bernstein, Matt J. Banet, Jane Mulligan, S. Moulton, G. Grudic, V. Convertino","doi":"10.1145/2077546.2077575","DOIUrl":"https://doi.org/10.1145/2077546.2077575","url":null,"abstract":"Hemorrhagic shock induced by traumatic injury is a leading cause of mortality on the battlefield and in civilian trauma settings. The first hour following injury can be critical to survival, requiring frequent assessment of vital signs and intravascular volume needs. Conventional vital signs, such as heart rate and blood pressure, are generally nonspecific and slow to change until acute blood loss volume nears 25--30% of total blood volume. The lack of specificity associated with these vital signs limits their usefulness in the early detection and monitoring of acute blood loss. In contrast, measurements of cardiac output (CO), stroke volume (SV) and a new parameter termed Cardiovascular Reserve Index (CRI), follow the progression of hemorrhage and response to intravenous fluid therapy. They are superior indicators of blood loss volume and fluid resuscitation needs. We will demonstrate the implementation of all three parameters on a small, noninvasive body-worn device that is wirelessly connected to a central monitoring system.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"16 1","pages":"26"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74630020","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: 6

PAMSys: long-term physical activity monitoring with single wearable motion sensor PAMSys:长期身体活动监测与单个可穿戴运动传感器

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2011-10-10 DOI: 10.1145/2077546.2077570

Bor-rong Chen, Bryan Kate

{"title":"PAMSys: long-term physical activity monitoring with single wearable motion sensor","authors":"Bor-rong Chen, Bryan Kate","doi":"10.1145/2077546.2077570","DOIUrl":"https://doi.org/10.1145/2077546.2077570","url":null,"abstract":"In this demo, we present PAMSys#8482;(physical activity monitoring system), a single body sensor solution for long-term and continuous monitoring of a person's daily activities. PAMSys#8482; requires only a single light-weight sensor unit that can be integrated unobtrusively into a comfortable shirt (or directly to a subject's shirt) without hindering daily-living activities. The use of large flash storage and low power sensor technologies allows a maximal system lifetime of 8 days on a single charge, minimizing the management burden of the users of the system. PAMWare#8482;, the data analysis software for PAMSys#8482;, performs advanced biomechanical analyses on the tri-axial accelerometer signals recorded by the sensor unit and generates a detailed report on the subject's postural information throughout the entire measurement period. The system can be used for monitoring the state of health in the elderly, as well as the effect of different medical and surgical procedures in enhancing a patients' quality of life. As an example, long-term physical activity data can be applied to assess the risk of fall for elderly people by monitoring durations of sit-to-stand posture transitions.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"76 1","pages":"21"},"PeriodicalIF":0.0,"publicationDate":"2011-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86180179","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: 6