Performance of ZigBee Based Fall Detection Alarm System
Summary :
Accidental falling among elderly people has become a public health concern. Thus, there is a need for systems that detect a fall when it happens. This paper presents a portable real-time remote health monitoring system that can remotely monitor patients' movements. The system is designed and implemented using ZigBee wireless technologies, and the data is analysed using Matlab. The purpose of this research is to determine the acceleration thresholds for fall detection, using tri-axial accelerometer readings at the head, waist, and knee. Seven voluntary subjects performed purposeful falls and Activities of Daily Living (ADL). The results indicated that measurements from the waist and head can accurately detect falls; the sensitivity and reliability measurements of fall detection ranged between 80% and 90%. In contrast, the measurements showed that the knee is not a useful position for the fall detection.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E99-B No.2 pp.385-391
- Publication Date
- 2016/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2015EBP3157
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Mohamed Hadi HABAEBI
International Islamic University Malaysia
Mabruka Mohamed AGEL
International Islamic University Malaysia
Alhareth ZYOUD
International Islamic University Malaysia
Keyword
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Mohamed Hadi HABAEBI, Mabruka Mohamed AGEL, Alhareth ZYOUD, "Performance of ZigBee Based Fall Detection Alarm System" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 2, pp. 385-391, February 2016, doi: 10.1587/transcom.2015EBP3157.
Abstract: Accidental falling among elderly people has become a public health concern. Thus, there is a need for systems that detect a fall when it happens. This paper presents a portable real-time remote health monitoring system that can remotely monitor patients' movements. The system is designed and implemented using ZigBee wireless technologies, and the data is analysed using Matlab. The purpose of this research is to determine the acceleration thresholds for fall detection, using tri-axial accelerometer readings at the head, waist, and knee. Seven voluntary subjects performed purposeful falls and Activities of Daily Living (ADL). The results indicated that measurements from the waist and head can accurately detect falls; the sensitivity and reliability measurements of fall detection ranged between 80% and 90%. In contrast, the measurements showed that the knee is not a useful position for the fall detection.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3157/_p
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@ARTICLE{e99-b_2_385,
author={Mohamed Hadi HABAEBI, Mabruka Mohamed AGEL, Alhareth ZYOUD, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance of ZigBee Based Fall Detection Alarm System},
year={2016},
volume={E99-B},
number={2},
pages={385-391},
abstract={Accidental falling among elderly people has become a public health concern. Thus, there is a need for systems that detect a fall when it happens. This paper presents a portable real-time remote health monitoring system that can remotely monitor patients' movements. The system is designed and implemented using ZigBee wireless technologies, and the data is analysed using Matlab. The purpose of this research is to determine the acceleration thresholds for fall detection, using tri-axial accelerometer readings at the head, waist, and knee. Seven voluntary subjects performed purposeful falls and Activities of Daily Living (ADL). The results indicated that measurements from the waist and head can accurately detect falls; the sensitivity and reliability measurements of fall detection ranged between 80% and 90%. In contrast, the measurements showed that the knee is not a useful position for the fall detection.},
keywords={},
doi={10.1587/transcom.2015EBP3157},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Performance of ZigBee Based Fall Detection Alarm System
T2 - IEICE TRANSACTIONS on Communications
SP - 385
EP - 391
AU - Mohamed Hadi HABAEBI
AU - Mabruka Mohamed AGEL
AU - Alhareth ZYOUD
PY - 2016
DO - 10.1587/transcom.2015EBP3157
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2016
AB - Accidental falling among elderly people has become a public health concern. Thus, there is a need for systems that detect a fall when it happens. This paper presents a portable real-time remote health monitoring system that can remotely monitor patients' movements. The system is designed and implemented using ZigBee wireless technologies, and the data is analysed using Matlab. The purpose of this research is to determine the acceleration thresholds for fall detection, using tri-axial accelerometer readings at the head, waist, and knee. Seven voluntary subjects performed purposeful falls and Activities of Daily Living (ADL). The results indicated that measurements from the waist and head can accurately detect falls; the sensitivity and reliability measurements of fall detection ranged between 80% and 90%. In contrast, the measurements showed that the knee is not a useful position for the fall detection.
ER -
English
