Lifeguard - a personal physiological monitor for extreme environments

Montgomery, Kevin; Mundt, Carsten W.; Thonier, G.; Tellier, A.; Udoh, U.E.; Barker, V.; Ricks, Robert; Giovangrandi, Laurent; Davies, Phil; Cagle, Yvonne; Swain, Jhum; Hines, John W.; Kovacs, G.T.A.

doi:10.1109/iembs.2004.1403640

Cited by 60 publications

(23 citation statements)

References 7 publications

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“…Measurement of sudden acceleration, presence of wounds, projectile impact / penetration, and state of consciousness have been proposed for integration into solders' vests [16] [17]. In space exploration, detectors of radiation and biochemical agents are used to monitor the astronauts' surrounding in addition to the vital signs [18] [19].…”

Section: Mission-critical and Sports Training Applicationsmentioning

confidence: 99%

Ubiquitous Health Monitoring: Integration of Wearable Sensors, Novel Sensing Techniques, and Body Sensor Networks

2015

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Abstract. Emergence of the Internet and widespread use of mobile computing have brought traditional eHealth beyond the boundary of the clinical setting, evolving to mHealth which is patient-centered and ubiquitous. Faced with the world's rapidly ageing population and its burden on the healthcare system, one of the intense areas of development in mHealth is continuous patient monitoring. It requires careful integration of wearable sensors and wireless body sensor networks. Unlike traditional ambulatory monitors, sensors for mHealth may appear in various forms, such as watches, jewelry, eyewear, and even smart garments. Recent work have focused on design for wearability, alternative sensing techniques, and mHealth-specific network topologies.

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Section: Mission-critical and Sports Training Applicationsmentioning

confidence: 99%

Ubiquitous Health Monitoring: Integration of Wearable Sensors, Novel Sensing Techniques, and Body Sensor Networks

2015

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“…Several architectures for medical WSNs have been proposed and deployed to monitor patients and to raise alarm in case of medical emergencies, such as MEDiSN [6], CodeBlue [7], LifeGuard [8], AlarmNet [9], Vital Jacket [10], etc. A survey of medical applications using WSNs is available in [11].…”

Section: Related Workmentioning

confidence: 99%

Anomaly detection in medical WSNs using enclosing ellipse and chi-square distance

Salem¹,

Liu²,

Mehaoua³

2014

2014 IEEE International Conference on Communications (ICC)

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In this paper, we propose an Anomaly Detection (AD) approach for medical Wireless Sensor Networks (WSNs). This approach is able to detect abnormal changes and to cope with unreliable or maliciously injected measurements in the network, without prior knowledge of anomalous events or normal data pattern. The main objective is to reduce the false alarms triggered by abnormal measurements. In our proposed framework, each sensor applies the Exponentially Weighted Moving Average (EWMA) for one-step forecasting. To reduce the energy consumed by periodic data transmission to the Local Processing Unit (LPU), the sensor transmits only when the data point (measured, expected) falls outside the dynamically updated ellipsoidal region enclosing the normal data. The LPU exploits correlation and uses chi-square distance for spatial analysis before raising a medical alarm. We evaluate our approach on real medical data set. Experimental results through computer simulation demonstrate that our proposed approach can achieve a good detection accuracy with low false alarm rate (less than 4%).

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“…Health and Disaster Aid Network (AID-N), 15 SMART, 16 ASNET, 17 MITHril, 18 wearable health monitoring systems, 19 NASA-Lifeguard, 20 the noninvasive LifeShirt, 21 iSIM, 22 HealthGear, 23 ubiquitous monitoring (Ubimon), 24 eWatch, 25 Vital jacket, 26 m-health, 27 Personal Care Connect, 28 and HeartToGo 29 have contributed to establish practical solutions for WBAN. Chin et al 30 highlighted…”

Section: Introductionmentioning

confidence: 99%

A Review on Telemedicine-Based WBAN Framework for Patient Monitoring

Chakraborty

Gupta

Ghosh

2013

Telemedicine and e-Health

122

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Objective: In this article, we describe the important aspects like major characteristics, research issues, and challenges with body area sensor networks in telemedicine systems for patient monitoring in different scenarios. Present and emerging developments in communications integrated with the developments in microelectronics and embedded system technologies will have a dramatic impact on future patient monitoring and health information delivery systems. The important challenges are bandwidth limitations, power consumption, and skin or tissue protection. Materials and Methods: This article presents a detailed survey on wireless body area networks (WBANs). Results and Conclusions: We have designed the framework for integrating body area networks on telemedicine systems. Recent trends, overall WBAN-telemedicine framework, and future research scope have also been addressed in this article.

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Lifeguard - a personal physiological monitor for extreme environments

Cited by 60 publications

References 7 publications

Ubiquitous Health Monitoring: Integration of Wearable Sensors, Novel Sensing Techniques, and Body Sensor Networks

Ubiquitous Health Monitoring: Integration of Wearable Sensors, Novel Sensing Techniques, and Body Sensor Networks

Anomaly detection in medical WSNs using enclosing ellipse and chi-square distance

A Review on Telemedicine-Based WBAN Framework for Patient Monitoring

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