Evaluation of new concept for balance and gait analysis, patients with neurological disease, elderly people and young adults

Juho Merilahti, Tuula Petäkoski-Hult, Miikka Ermes, Heidi Lahti, Aarne Ylinen, Leena Autio, Esko Hyvärinen, Jari Hyttinen, Mark van Gils

Research output: Contribution to journalOther journal contributionScientificpeer-review

Abstract

Fall accidents among elderly are costly for the society. Gait and balance are reported to reflect best the risk of falling. We recorded gait and balance properties of 15 patients with neurological disease, 20 elderly and 19 young adults. During the Berg Balance Scale test and walk test we collected kinetic data with wearable 3D accelerometers. Results showed significant differences between different subject groups in features calculated from the accelerometer signals. We found that accelerometer signals collected during the walk test could be used to discriminate between subject groups divided according to their Berg Balance Scale score.
Original languageEnglish
Pages (from-to)164-164
Number of pages1
JournalGerontechnology
Volume7
Issue number2
DOIs
Publication statusPublished - 2008
MoE publication typeNot Eligible
Event6th International Conference of the International Society for Gerontechnology, ISG08 - Pisa, Italy
Duration: 4 Jun 20086 Jun 2008

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Gait analysis
Gait
Accelerometers
Young Adult
Accidental Falls
Accidents
Kinetics
Walk Test

Cite this

Merilahti, Juho ; Petäkoski-Hult, Tuula ; Ermes, Miikka ; Lahti, Heidi ; Ylinen, Aarne ; Autio, Leena ; Hyvärinen, Esko ; Hyttinen, Jari ; van Gils, Mark. / Evaluation of new concept for balance and gait analysis, patients with neurological disease, elderly people and young adults. In: Gerontechnology. 2008 ; Vol. 7, No. 2. pp. 164-164.
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author = "Juho Merilahti and Tuula Pet{\"a}koski-Hult and Miikka Ermes and Heidi Lahti and Aarne Ylinen and Leena Autio and Esko Hyv{\"a}rinen and Jari Hyttinen and {van Gils}, Mark",
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Merilahti, J, Petäkoski-Hult, T, Ermes, M, Lahti, H, Ylinen, A, Autio, L, Hyvärinen, E, Hyttinen, J & van Gils, M 2008, 'Evaluation of new concept for balance and gait analysis, patients with neurological disease, elderly people and young adults', Gerontechnology, vol. 7, no. 2, pp. 164-164. https://doi.org/10.4017/gt.2008.07.02.101.00

Evaluation of new concept for balance and gait analysis, patients with neurological disease, elderly people and young adults. / Merilahti, Juho; Petäkoski-Hult, Tuula; Ermes, Miikka; Lahti, Heidi; Ylinen, Aarne; Autio, Leena; Hyvärinen, Esko; Hyttinen, Jari; van Gils, Mark.

In: Gerontechnology, Vol. 7, No. 2, 2008, p. 164-164.

Research output: Contribution to journalOther journal contributionScientificpeer-review

TY - JOUR

T1 - Evaluation of new concept for balance and gait analysis, patients with neurological disease, elderly people and young adults

AU - Merilahti, Juho

AU - Petäkoski-Hult, Tuula

AU - Ermes, Miikka

AU - Lahti, Heidi

AU - Ylinen, Aarne

AU - Autio, Leena

AU - Hyvärinen, Esko

AU - Hyttinen, Jari

AU - van Gils, Mark

N1 - conference abstract, DOI not working

PY - 2008

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N2 - Fall accidents among elderly are costly for the society. Gait and balance are reported to reflect best the risk of falling. We recorded gait and balance properties of 15 patients with neurological disease, 20 elderly and 19 young adults. During the Berg Balance Scale test and walk test we collected kinetic data with wearable 3D accelerometers. Results showed significant differences between different subject groups in features calculated from the accelerometer signals. We found that accelerometer signals collected during the walk test could be used to discriminate between subject groups divided according to their Berg Balance Scale score.

AB - Fall accidents among elderly are costly for the society. Gait and balance are reported to reflect best the risk of falling. We recorded gait and balance properties of 15 patients with neurological disease, 20 elderly and 19 young adults. During the Berg Balance Scale test and walk test we collected kinetic data with wearable 3D accelerometers. Results showed significant differences between different subject groups in features calculated from the accelerometer signals. We found that accelerometer signals collected during the walk test could be used to discriminate between subject groups divided according to their Berg Balance Scale score.

U2 - 10.4017/gt.2008.07.02.101.00

DO - 10.4017/gt.2008.07.02.101.00

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