2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008
DOI: 10.1109/iembs.2008.4649671
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Data acquisition system using six degree-of-freedom inertia sensor and Zigbee wireless link for fall detection and prevention

Abstract: Fall detection and prevention require logged physiological activity data of a patient for a long period of time. This work develops a data acquisition system to collect motion data from multiple patients and store in a data base. A wireless sensor network is built using high precision inertia sensors and low power Zigbee wireless transceivers. Testing results prove the system function properly. Researchers and physicians can now retrieve and analyze the accurate data of the patient movement with ease.

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Cited by 12 publications
(17 citation statements)
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“…Liu et al [48] used Doppler sensors to develop a fall detection system with a specific focus on detecting falls in senior citizens. In [49] and [50], Dinh et al proposed a novel wearable device and a system architecture that used inertial sensors and Zigbee transceivers to detect falls. The works in [51] and [52] proposed somewhat similar system paradigms as compared to the previous works to track the positions and health status of individuals for their assisted living.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Liu et al [48] used Doppler sensors to develop a fall detection system with a specific focus on detecting falls in senior citizens. In [49] and [50], Dinh et al proposed a novel wearable device and a system architecture that used inertial sensors and Zigbee transceivers to detect falls. The works in [51] and [52] proposed somewhat similar system paradigms as compared to the previous works to track the positions and health status of individuals for their assisted living.…”
Section: Literature Reviewmentioning
confidence: 99%
“…5. The design process for the development of most of these systems [23,[26][27][28][29][33][34][35][36][37][38][39][40][41][42][47][48][49][50][51][52][53][54][55][56][57] is complicated as it involves the integration and communication of multiple software and hardware components. As there is a need for the development of AAL systems that can perform both fall detections and indoor localizations in a simultaneous manner in the real world, so integrating the hardware components of these underlining systems (integrating hardware components from systems aimed at fall detection with hardware components from systems aimed at indoor localization) and developing a software framework that can communicate, share, and exchange data with all these hardware components in a seamless manner in real-time would be even more complicated.…”
Section: Literature Reviewmentioning
confidence: 99%
“…[1][2][3][4][5]. WDAS have also been used to solve medical research-oriented problems [6][7][8]. The biggest challenge in Wireless Data Acquisition Systems is to send wireless data to long distances with high accuracy, low power and low cost [9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it may be fatal for these elders if they fall down without drawing attention. To prevent such scenarios, recently, some simple and convenient health care (or fall prevention) systems have been proposed to enhance the body function and sensation cognition of elders through engineering technologies, so that social and economic load caused by elderly falls can be reduced .…”
Section: Introductionmentioning
confidence: 99%