Design and Integration of Fall and Mobility Monitors in Health Monitoring Platforms

Ven, Pepijn van de; Bourke, Alan K.; Nelson, John; O’Brien, Hugh

doi:10.1007/978-3-642-15687-8_1

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…Some [5,6,7,8,9,10,11] used a single triaxial accelerometer attached to torso (e.g. waist, chest or pelvic).…”

Section: Fall Detection Using Mems Sensorsmentioning

confidence: 99%

“…[14] and [15] separately implemented fall detection algorithms right within Android phones, taking advantage of their built-in accelerometers and high-level APIs (application programming interface). [5,16,6,7,17,8,18,10,11] used a single triaxial accelerometer attached to certain parts of the torso (waist, chest, back or pelvic) to study falls. Some used more than one accelerometer.…”

Section: Mems Accelerometersmentioning

confidence: 99%

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Inexpensive and Power-Efficient Wireless Health Monitoring System for the Aging Population

Yuan

Tan

2015

Wearable Electronics Sensors

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“…Some [5,6,7,8,9,10,11] used a single triaxial accelerometer attached to torso (e.g. waist, chest or pelvic).…”

Section: Fall Detection Using Mems Sensorsmentioning

confidence: 99%

Section: Mems Accelerometersmentioning

confidence: 99%

Inexpensive and Power-Efficient Wireless Health Monitoring System for the Aging Population

Yuan

Tan

2015

Wearable Electronics Sensors

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Power-Efficient Interrupt-Driven Algorithms for Fall Detection and Classification of Activities of Daily Living

et al. 2015

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Development of an Inexpensive Health Monitoring System for the Lone Elderly

Yuan¹,

Tan²,

Koh³

et al. 2013

Control and Intelligent Systems

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This paper proposes the design and implementation of an intelligent health monitoring system, e-Guardian, which helps the elderly live independently and offers peace of mind to their family members. The heart of the system is a base station (BS) that acts as a gateway between GSM/GPRS and WSN. At seniors' sides are a number of small and lightweight wearable devices (WDs) which are capable of automatically detecting accidental falls, inferring simple activities of daily livings (ADLs), monitoring body temperatures and heart rates, etc. WDs communicate with BS, possibly via range extenders (REs) in several hops. During an emergency, alert signals will be sent to family members or caregivers via SMS. To avoid network congestions, e-Guardian takes a decentralized approach by processing sensor data locally in WDs instead of streaming raw sensor data to the BS for processing. An interrupt-driven fall detection algorithm using a digital microelectromechanical-system (MEMS) accelerometer has been designed to allow host microcontroller units (MCUs) to process data only upon interrupts and sleep the rest of the time, thus achieving several months of standby time. The system consumes minimum bandwidth thus allows its network to scale easily to cover a large area. The scalability allows an e-Guardian system to be deployed in not only households but also care centers, hospitals and even entire village/community areas thus the cost per senior is further reduced.

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Design and Integration of Fall and Mobility Monitors in Health Monitoring Platforms

Cited by 5 publications

References 31 publications

Inexpensive and Power-Efficient Wireless Health Monitoring System for the Aging Population

Inexpensive and Power-Efficient Wireless Health Monitoring System for the Aging Population

Power-Efficient Interrupt-Driven Algorithms for Fall Detection and Classification of Activities of Daily Living

Development of an Inexpensive Health Monitoring System for the Lone Elderly

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