1 presenter: sheng-i yu adviser: dr. ji-jer huang date: 99.11.23
TRANSCRIPT
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Presenter: Sheng-I Yu
Adviser: Dr. Ji-Jer Huang
Date: 99.11.23
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Paper reviewPaper review
Materials and methodMaterials and method
ResultsResults
Future worksFuture works
ReferencesReferences
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Bourke AK, O’Brien JV, Lyons GM. Evaluation of a
threshold-based tri-axial accelerometer fall detection algorithm. Gait Posture2007;26(2):194–9.
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Introduction
Thirty-two percent of elderly people aged over 75 years have ever fallen at least once a year, and among them, 24% have seriously injured.
Falling can limit self-confidence and motivation of older people’s independent life.
This is a serious public health problem with a substantial impact on health and healthcare costs.
Considering the increasing population of elderly people, falling will become one of the major problems to them.
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Materials and methods
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Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm
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Materials and methods
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Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm
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The Activities of Daily Living study
Sitting down on and standing up from a bed.
Sitting down and standing up from chair.
Sitting down and standing up from a toilet seat.
Getting in and out of a car seat.
Walking 3m.
7Activities of Daily Living : 日常生活活動
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Materials and methods
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Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm
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9UFT : Upper Fall Thresholds 正面跌下範圍 LFT : Lower Fall Thresholds 背面跌下範圍
(a)
Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm
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Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm