Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)最新文献

Zero-Effort Camera-Assisted Calibration Techniques for Wearable Motion Sensors. 可穿戴运动传感器的零费力相机辅助校准技术。

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2014-10-01 DOI: 10.1145/2668883.2668888

Jian Wu, Roozbeh Jafari

引用次数: 3

Connecting medical devices through ASTM-2761-09: schedule conflict detection prototype 通过ASTM-2761-09连接医疗设备:进度冲突检测原型

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534100

Vincent M. Stanford, Lukas L. Diduch, A. Fillinger, K. Sayrafian-Pour

引用次数: 0

bHealthy: a physiological feedback-based mobile wellness application suite 健康:一个基于生理反馈的移动健康应用程序套件

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534095

J. Milazzo, P. Bagade, Ayan Banerjee, Sandeep K. S. Gupta

引用次数: 11

A mobile point of care reader for immediate diagnostics and analysis 用于即时诊断和分析的移动护理点阅读器

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534096

Phillip Olla, Tatu Prykari, H. Kauniskangas

引用次数: 0

Cloud-based integrative solution for personalized pain management 基于云的个性化疼痛管理集成解决方案

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534094

Janani Venugopalan, Chihwen Cheng, May D. Wang

引用次数: 0

A secure mHealth application for EMS: design and implementation EMS的安全移动医疗应用:设计与实现

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534103

Abdullah Murad, Benjamin L. Schooley, Yousef Abed

引用次数: 4

Personalized physical activity monitoring on the move 个性化的移动身体活动监测

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534092

M. Altini, J. Penders, R. Vullers, O. Amft

引用次数: 3

The impact of vibrotactile biofeedback on the excessive walking sway and the postural control in elderly 振动触觉生物反馈对老年人过度行走摇摆及姿势控制的影响

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534110

O. Dehzangi, Zheng Zhao, Mohammad-Mahdi Bidmeshki, John Biggan, Christopher Ray, R. Jafari

{"title":"The impact of vibrotactile biofeedback on the excessive walking sway and the postural control in elderly","authors":"O. Dehzangi, Zheng Zhao, Mohammad-Mahdi Bidmeshki, John Biggan, Christopher Ray, R. Jafari","doi":"10.1145/2534088.2534110","DOIUrl":"https://doi.org/10.1145/2534088.2534110","url":null,"abstract":"Gait and postural control are important aspects of human movement and balance. Normal movement control in human is subject to change with aging when the nervous system, comprising somatosensory, visual senses, spatial orientation senses, and neuromuscular control starts to degrade. As a result, the body movement control such as the lateral sway while walking is affected which has been shown to be a significant cause of falling among the elderly. Biofeedback has been investigated to assist elderly improve their body movement and postural ability, by supplementing the feedback to the nervous system. In this paper, we propose a wearable low-power sensor system capable of characterizing lateral sway and gait parameters. Then, it can provide corrective feedback to reduce excessive sway in real-time via vibratory feedback modules. Real-time and low-power characteristics along with wearability of our proposed system allow long-term continuous subjects' sway monitoring while giving direct feedback to enhance walking sway and prevent falling. It can also be used in the clinics as a tool for evaluating the risks of falls, and training users to better maintain their balance. The effectiveness of the biofeedback system was evaluated on 12 older adults as they performed gait and stance tasks with and without biofeedback. Significant improvement (p-value < 0.1) in sway angle in variance of the sway angle, variance of gait phases, and in postural control while on perturbed surface was detected when the proposed sway error feedback system was used.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77696097","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: 9

PEES: physiology-based end-to-end security for mHealth 基于生理学的移动医疗端到端安全

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534109

Ayan Banerjee, S. Gupta, K. Venkatasubramanian

{"title":"PEES: physiology-based end-to-end security for mHealth","authors":"Ayan Banerjee, S. Gupta, K. Venkatasubramanian","doi":"10.1145/2534088.2534109","DOIUrl":"https://doi.org/10.1145/2534088.2534109","url":null,"abstract":"Ensuring security of private health data over the communication channel from the sensors to the back-end medical cloud is crucial in a mHealth system. This end-to-end (E2E) security is enabled by distributing cryptographic keys between a sensor and the cloud so that the data can be encrypted and its integrity protected. Further, the key can also be used for mutually authenticating the communication. The distribution of keys is one of the biggest overheads in enabling secure communication and needs to be done is a transparent way that minimizes the cognitive load on the users (patients). Traditional approaches for providing E2E security for mHealth systems are based on asymmetric cryptosystems that require extensive security infrastructure. In this paper, we propose a novel protocol, Physiology-based End-to-End Security (PEES), which provides a secure communication channel between the sensors and the back-end medical cloud in a transparent way. PEES uses: (1) physiological signal features to hide a secret key, and (2) synthetically generated physiological signals from generative models parameterized with patient's physiological information, to unhide the key. Moreover, in PEES authentication comes for free since only sensors on the user's body has access to physiological features and can therefore gain access to the protected information in the cloud. The analysis of the approach using electrocardiogram (ECG) and phototplethysmogram (PPG) signals and their associated models demonstrate the feasibility of PEES. The protocol is light-weight for sensors and has no pre-deployment or storage requirements and can provide strong and random keys (≈ 90 bits long). We have also started clinical studies to establish its efficacy in practice.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"26 1","pages":"2:1-2:8"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73941697","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: 25

Combining wearable accelerometer and physiological data for activity and energy expenditure estimation 结合可穿戴加速度计和生理数据的活动和能量消耗估计

Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference) Pub Date : 2013-11-01 DOI: 10.1145/2534088.2534106

M. Altini, J. Penders, R. Vullers, O. Amft

{"title":"Combining wearable accelerometer and physiological data for activity and energy expenditure estimation","authors":"M. Altini, J. Penders, R. Vullers, O. Amft","doi":"10.1145/2534088.2534106","DOIUrl":"https://doi.org/10.1145/2534088.2534106","url":null,"abstract":"Physical Activity (PA) is one of the most important determinants of health. Wearable sensors have great potential for accurate assessment of PA (activity type and Energy Expenditure (EE)) in daily life. In this paper we investigate the benefit of multiple physiological signals (Heart Rate (HR), respiration rate, Galvanic Skin Response (GSR), skin humidity) as well as accelerometer (ACC) data from two locations (wrist - combining ACC, GSR and skin humidity - and chest - combining ACC and HR) on PA type and EE estimation. We implemented single regression, activity recognition and activity-specific EE models on data collected from 16 subjects, while performing a set of PAs, grouped into six clusters (lying, sedentary, dynamic, walking, biking and running). Our results show that combining ACC and physiological signals improves performance for activity recognition (by 2 and 8% for the chest and wrist) and EE (by 36 - chest - and 35% - wrist - for single regression models, and by 18 - chest - and 46% - wrist - for activity-specific models). Physiological signals other than HR showed a coarser relation with level of physical exertion, resulting in being better predictors of activity cluster type and separation between inactivity and activity than EE, due to the weak correlation to EE within an activity cluster.","PeriodicalId":91386,"journal":{"name":"Proceedings Wireless Health ... [electronic resource]. Wireless Health (Conference)","volume":"24 1","pages":"1:1-1:8"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87622126","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