Mobile Fall Risk Assessment Solution for Daily-Life Settings

Heidi Similä; Milla Immonen; Timo Niemirepo

doi:10.1109/EMBC.2018.8512589

Mobile Fall Risk Assessment Solution for Daily-Life Settings

Heidi Similä, Milla Immonen, Timo Niemirepo

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Scopus)

Abstract

Prevention of falls requires accurate means for fall risk assessment in order to identify persons at risk. This paper introduces a novel mobile fall risk assessment solution for daily-life settings. The solution contains an Android application that uses acceleration sensor data received via Bluetooth LE connection. The application guides through a simple walk test, analyzes the acceleration data measured from the acceleration sensor attached to the lower back and gives feedback about the fall risk for the user. Preliminary user tests with 12 healthy subjects were conducted to evaluate the feasibility of the solution. Each test subject performed three walks demonstrating normal, dragging and slow gait. The results showed that the acceleration features calculated by the application distinguish normal gait from dragging and slow gaits. Further collection of comprehensive data set with older adults is needed to adjust the application parameters appropriately for the target group.

Original language	English
Title of host publication	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Pages	1530-1533
Number of pages	4
ISBN (Electronic)	978-1-5386-3646-6, 978-1-5386-3645-9
DOIs	https://doi.org/10.1109/EMBC.2018.8512589
Publication status	Published - 29 Oct 2018
MoE publication type	Not Eligible
Event	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States Duration: 17 Jul 2018 → 21 Jul 2018 Conference number: 40

Conference

Conference	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Abbreviated title	EMBC 2018
Country/Territory	United States
City	Honolulu
Period	17/07/18 → 21/07/18

Keywords

acceleration
risk management
support vector machines
accelerometers
medical services
standards
mathematical model

Access to Document

10.1109/EMBC.2018.8512589

Cite this

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title = "Mobile Fall Risk Assessment Solution for Daily-Life Settings",

abstract = "Prevention of falls requires accurate means for fall risk assessment in order to identify persons at risk. This paper introduces a novel mobile fall risk assessment solution for daily-life settings. The solution contains an Android application that uses acceleration sensor data received via Bluetooth LE connection. The application guides through a simple walk test, analyzes the acceleration data measured from the acceleration sensor attached to the lower back and gives feedback about the fall risk for the user. Preliminary user tests with 12 healthy subjects were conducted to evaluate the feasibility of the solution. Each test subject performed three walks demonstrating normal, dragging and slow gait. The results showed that the acceleration features calculated by the application distinguish normal gait from dragging and slow gaits. Further collection of comprehensive data set with older adults is needed to adjust the application parameters appropriately for the target group.",

keywords = "acceleration, risk management, support vector machines, accelerometers, medical services, standards, mathematical model",

author = "Heidi Simil{\"a} and Milla Immonen and Timo Niemirepo",

year = "2018",

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day = "29",

doi = "10.1109/EMBC.2018.8512589",

language = "English",

isbn = "978-1-5386-3647-3",

pages = "1530--1533",

booktitle = "40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018",

note = "40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, EMBC 2018 ; Conference date: 17-07-2018 Through 21-07-2018",

}

Similä, H, Immonen, M & Niemirepo, T 2018, Mobile Fall Risk Assessment Solution for Daily-Life Settings. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018., 8512589, pp. 1530-1533, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, Hawaii, United States, 17/07/18. https://doi.org/10.1109/EMBC.2018.8512589

Mobile Fall Risk Assessment Solution for Daily-Life Settings. / Similä, Heidi; Immonen, Milla ; Niemirepo, Timo.
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. 2018. p. 1530-1533 8512589.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Mobile Fall Risk Assessment Solution for Daily-Life Settings

AU - Similä, Heidi

AU - Immonen, Milla

AU - Niemirepo, Timo

N1 - Conference code: 40

PY - 2018/10/29

Y1 - 2018/10/29

N2 - Prevention of falls requires accurate means for fall risk assessment in order to identify persons at risk. This paper introduces a novel mobile fall risk assessment solution for daily-life settings. The solution contains an Android application that uses acceleration sensor data received via Bluetooth LE connection. The application guides through a simple walk test, analyzes the acceleration data measured from the acceleration sensor attached to the lower back and gives feedback about the fall risk for the user. Preliminary user tests with 12 healthy subjects were conducted to evaluate the feasibility of the solution. Each test subject performed three walks demonstrating normal, dragging and slow gait. The results showed that the acceleration features calculated by the application distinguish normal gait from dragging and slow gaits. Further collection of comprehensive data set with older adults is needed to adjust the application parameters appropriately for the target group.

AB - Prevention of falls requires accurate means for fall risk assessment in order to identify persons at risk. This paper introduces a novel mobile fall risk assessment solution for daily-life settings. The solution contains an Android application that uses acceleration sensor data received via Bluetooth LE connection. The application guides through a simple walk test, analyzes the acceleration data measured from the acceleration sensor attached to the lower back and gives feedback about the fall risk for the user. Preliminary user tests with 12 healthy subjects were conducted to evaluate the feasibility of the solution. Each test subject performed three walks demonstrating normal, dragging and slow gait. The results showed that the acceleration features calculated by the application distinguish normal gait from dragging and slow gaits. Further collection of comprehensive data set with older adults is needed to adjust the application parameters appropriately for the target group.

KW - acceleration

KW - risk management

KW - support vector machines

KW - accelerometers

KW - medical services

KW - standards

KW - mathematical model

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U2 - 10.1109/EMBC.2018.8512589

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M3 - Conference article in proceedings

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SN - 978-1-5386-3647-3

SP - 1530

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BT - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018

T2 - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018

Y2 - 17 July 2018 through 21 July 2018

ER -

Mobile Fall Risk Assessment Solution for Daily-Life Settings

Abstract

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Keywords

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