Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations

Milla Immonen; Heidi Similä

doi:10.1109/EMBC.2018.8512713

Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations

Milla Immonen, Heidi Similä

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

2 Citations (Scopus)

Abstract

Falls are an unfortunate problem for older adults, their relatives and societies. Continuous gait monitoring for fall risk assessment during daily lives would allow early interventions to prevent injurious falls. Continuous gait monitoring is possible using technological solutions such as inertial sensors; for example accelerometers. Current solutions require attaching the sensor to a certain location on the body and many of them to the lower back, which is not convenient for the user. The objective of this study was to find out whether gait variables calculated from the acceleration signal measured during walk from two different locations on waist area differ from each other. Forty two older adult subjects were measured during walk test with a triaxial acceleration sensor worn on an elastic belt at the lower back and frontal hip area. Most of the analyzed gait features from the two locations have a strong correlation, indicating that these features are not sensitive to sensor location around waist level. A subsequent study is needed to confirm other locations for the sensors to allow analyzing gait during everyday lives.

Original language	English
Title of host publication	2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	2076-2079
Number of pages	4
Volume	2018
ISBN (Electronic)	978-1-5386-3646-6
ISBN (Print)	978-1-5386-3647-3
DOIs	https://doi.org/10.1109/EMBC.2018.8512713
Publication status	Published - 29 Oct 2018
MoE publication type	A4 Article in a conference publication
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

Publication series

Series	Annual International Conference of the IEEE Engineering in Medicine and Biology
Volume	40
ISSN	1557-170X

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

hip
acceleration
support vector machines
standards
risk management
correlation
accelerometers
biomedical measurement
geriatirics
mechanoception

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10.1109/EMBC.2018.8512713

Cite this

Immonen, M., & Similä, H. (2018). Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Vol. 2018, pp. 2076-2079). Article 8512713 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/EMBC.2018.8512713

Immonen, Milla ; Similä, Heidi. / Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018 IEEE Institute of Electrical and Electronic Engineers, 2018. pp. 2076-2079 (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 40).

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title = "Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations",

abstract = "Falls are an unfortunate problem for older adults, their relatives and societies. Continuous gait monitoring for fall risk assessment during daily lives would allow early interventions to prevent injurious falls. Continuous gait monitoring is possible using technological solutions such as inertial sensors; for example accelerometers. Current solutions require attaching the sensor to a certain location on the body and many of them to the lower back, which is not convenient for the user. The objective of this study was to find out whether gait variables calculated from the acceleration signal measured during walk from two different locations on waist area differ from each other. Forty two older adult subjects were measured during walk test with a triaxial acceleration sensor worn on an elastic belt at the lower back and frontal hip area. Most of the analyzed gait features from the two locations have a strong correlation, indicating that these features are not sensitive to sensor location around waist level. A subsequent study is needed to confirm other locations for the sensors to allow analyzing gait during everyday lives.",

keywords = "hip, acceleration, support vector machines, standards, risk management, correlation, accelerometers, biomedical measurement, geriatirics, mechanoception",

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

note = "Funding Information: ACKNOWLEDGMENT This study was approved by the Ethics Committee of Human Sciences at the University of Oulu, Finland (statement 2/2014), This work was partly funded by Tekes the Finnish Funding Agency for Innovation as part of project Ageing in Balance (AAL-2011-4-Ageing in Balance) and by Business Finland as part of project HEALTH-MEMS. This work was also partly funded by research grants from University of Oulu Fund and Tauno T{\"o}nning foundation. Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 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",

year = "2018",

month = oct,

day = "29",

doi = "10.1109/EMBC.2018.8512713",

language = "English",

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

volume = "2018",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

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

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Immonen, M & Similä, H 2018, Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations. in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). vol. 2018, 8512713, IEEE Institute of Electrical and Electronic Engineers, Annual International Conference of the IEEE Engineering in Medicine and Biology, vol. 40, pp. 2076-2079, 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.2018.8512713

Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations. / Immonen, Milla; Similä, Heidi.
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018 IEEE Institute of Electrical and Electronic Engineers, 2018. p. 2076-2079 8512713 (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 40).

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

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AU - Immonen, Milla

AU - Similä, Heidi

N1 - Conference code: 40

PY - 2018/10/29

Y1 - 2018/10/29

N2 - Falls are an unfortunate problem for older adults, their relatives and societies. Continuous gait monitoring for fall risk assessment during daily lives would allow early interventions to prevent injurious falls. Continuous gait monitoring is possible using technological solutions such as inertial sensors; for example accelerometers. Current solutions require attaching the sensor to a certain location on the body and many of them to the lower back, which is not convenient for the user. The objective of this study was to find out whether gait variables calculated from the acceleration signal measured during walk from two different locations on waist area differ from each other. Forty two older adult subjects were measured during walk test with a triaxial acceleration sensor worn on an elastic belt at the lower back and frontal hip area. Most of the analyzed gait features from the two locations have a strong correlation, indicating that these features are not sensitive to sensor location around waist level. A subsequent study is needed to confirm other locations for the sensors to allow analyzing gait during everyday lives.

AB - Falls are an unfortunate problem for older adults, their relatives and societies. Continuous gait monitoring for fall risk assessment during daily lives would allow early interventions to prevent injurious falls. Continuous gait monitoring is possible using technological solutions such as inertial sensors; for example accelerometers. Current solutions require attaching the sensor to a certain location on the body and many of them to the lower back, which is not convenient for the user. The objective of this study was to find out whether gait variables calculated from the acceleration signal measured during walk from two different locations on waist area differ from each other. Forty two older adult subjects were measured during walk test with a triaxial acceleration sensor worn on an elastic belt at the lower back and frontal hip area. Most of the analyzed gait features from the two locations have a strong correlation, indicating that these features are not sensitive to sensor location around waist level. A subsequent study is needed to confirm other locations for the sensors to allow analyzing gait during everyday lives.

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KW - support vector machines

KW - standards

KW - risk management

KW - correlation

KW - accelerometers

KW - biomedical measurement

KW - geriatirics

KW - mechanoception

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M3 - Conference article in proceedings

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T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology

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Y2 - 17 July 2018 through 21 July 2018

ER -

Immonen M, Similä H. Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018. IEEE Institute of Electrical and Electronic Engineers. 2018. p. 2076-2079. 8512713. (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 40). doi: 10.1109/EMBC.2018.8512713

Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations

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