Gait analysis and estimation of changes in fall risk factors

Heidi Similä; Milla Immonen; Juho Merilahti; Tuula Petakoski-Hult

doi:10.1109/EMBC.2015.7319988

Gait analysis and estimation of changes in fall risk factors

Heidi Similä, Milla Immonen, Juho Merilahti, Tuula Petakoski-Hult

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

7 Citations (Scopus)

Abstract

Falls are a major problem for older adults. A continuous gait monitoring that provides fall risk assessment would allow timely interventions aiming for preventing falls. The objective of this work was to find out whether gait variables calculated from the acceleration signal measured during walk task in the baseline assessment can predict changes in commonly used fall risk assessment scales after 12 months follow-up. Forty two subjects were measured during walk test with a triaxial acceleration sensor worn on a waist belt at the lower back near the centre of mass. The fall risk was assessed using a test protocol, which included several assessment methods. Gait analysis was able to predict a decline in ABC, BBS and GDS total scores and slower time in STS-5 after twelve-months follow-up. A subsequent study is needed to confirm the model's suitability for data recorded in everyday lives.

Original language	English
Title of host publication	Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	6939 - 6942
ISBN (Electronic)	978-1-4244-9271-8, 978-1-4244-9270-1
DOIs	https://doi.org/10.1109/EMBC.2015.7319988
Publication status	Published - 2015
MoE publication type	A4 Article in a conference publication
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 Conference number: 37

Conference

Conference	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated title	EMBS
Country/Territory	Italy
City	Milan
Period	25/08/15 → 29/08/15

Keywords

acceleration
accelerometers
estimation
medical services
muscles
risk management
standards

Access to Document

10.1109/EMBC.2015.7319988

Cite this

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title = "Gait analysis and estimation of changes in fall risk factors",

abstract = "Falls are a major problem for older adults. A continuous gait monitoring that provides fall risk assessment would allow timely interventions aiming for preventing falls. The objective of this work was to find out whether gait variables calculated from the acceleration signal measured during walk task in the baseline assessment can predict changes in commonly used fall risk assessment scales after 12 months follow-up. Forty two subjects were measured during walk test with a triaxial acceleration sensor worn on a waist belt at the lower back near the centre of mass. The fall risk was assessed using a test protocol, which included several assessment methods. Gait analysis was able to predict a decline in ABC, BBS and GDS total scores and slower time in STS-5 after twelve-months follow-up. A subsequent study is needed to confirm the model's suitability for data recorded in everyday lives.",

keywords = "acceleration, accelerometers, estimation, medical services, muscles, risk management, standards",

author = "Heidi Simil{\"a} and Milla Immonen and Juho Merilahti and Tuula Petakoski-Hult",

year = "2015",

doi = "10.1109/EMBC.2015.7319988",

language = "English",

pages = "6939 -- 6942",

booktitle = "Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE",

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

address = "United States",

note = "37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS ; Conference date: 25-08-2015 Through 29-08-2015",

}

Similä, H, Immonen, M, Merilahti, J & Petakoski-Hult, T 2015, Gait analysis and estimation of changes in fall risk factors. in Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. IEEE Institute of Electrical and Electronic Engineers, pp. 6939 - 6942, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7319988

Gait analysis and estimation of changes in fall risk factors. / Similä, Heidi; Immonen, Milla; Merilahti, Juho et al.
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. IEEE Institute of Electrical and Electronic Engineers, 2015. p. 6939 - 6942.

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

TY - GEN

T1 - Gait analysis and estimation of changes in fall risk factors

AU - Similä, Heidi

AU - Immonen, Milla

AU - Merilahti, Juho

AU - Petakoski-Hult, Tuula

N1 - Conference code: 37

PY - 2015

Y1 - 2015

N2 - Falls are a major problem for older adults. A continuous gait monitoring that provides fall risk assessment would allow timely interventions aiming for preventing falls. The objective of this work was to find out whether gait variables calculated from the acceleration signal measured during walk task in the baseline assessment can predict changes in commonly used fall risk assessment scales after 12 months follow-up. Forty two subjects were measured during walk test with a triaxial acceleration sensor worn on a waist belt at the lower back near the centre of mass. The fall risk was assessed using a test protocol, which included several assessment methods. Gait analysis was able to predict a decline in ABC, BBS and GDS total scores and slower time in STS-5 after twelve-months follow-up. A subsequent study is needed to confirm the model's suitability for data recorded in everyday lives.

AB - Falls are a major problem for older adults. A continuous gait monitoring that provides fall risk assessment would allow timely interventions aiming for preventing falls. The objective of this work was to find out whether gait variables calculated from the acceleration signal measured during walk task in the baseline assessment can predict changes in commonly used fall risk assessment scales after 12 months follow-up. Forty two subjects were measured during walk test with a triaxial acceleration sensor worn on a waist belt at the lower back near the centre of mass. The fall risk was assessed using a test protocol, which included several assessment methods. Gait analysis was able to predict a decline in ABC, BBS and GDS total scores and slower time in STS-5 after twelve-months follow-up. A subsequent study is needed to confirm the model's suitability for data recorded in everyday lives.

KW - acceleration

KW - accelerometers

KW - estimation

KW - medical services

KW - muscles

KW - risk management

KW - standards

U2 - 10.1109/EMBC.2015.7319988

DO - 10.1109/EMBC.2015.7319988

M3 - Conference article in proceedings

SP - 6939

EP - 6942

BT - Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 25 August 2015 through 29 August 2015

ER -

Gait analysis and estimation of changes in fall risk factors

Abstract

Conference

Keywords

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