Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network

Heidi Similä; Jouni Kaartinen; Mikko Lindholm; Ari Saarinen; Ibrahim Mahjneh

doi:10.1109/IEMBS.2006.260126

Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network

Heidi Similä, Jouni Kaartinen, Mikko Lindholm, Ari Saarinen, Ibrahim Mahjneh

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

Abstract

Balance and gait are a consequence of complex coordination between muscles, nerves, and central nervous system structures. The impairment of these functions can pose serious threats to independent living, especially in the elderly. This study was carried out to evaluate the performance of a wireless acceleration sensor network and its capability in balance estimation. The test has been carried out in eight patients and seven healthy controls. The Patients group had larger values in lateral amplitudes of the sensor displacement and smaller values in vertical displacement amplitudes of the sensor. The step time variations for the Patients were larger than those for the Controls. A fuzzy logic and clustering classifiers were implemented, which gave promising results suggesting that a person with balance deficits can be recognized with this system. We conclude that a wireless system is easier to use than a wired one and more unobtrusive to the user.

Original language	English
Title of host publication	2006 International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1493-1496
ISBN (Print)	1-4244-0032-5
DOIs	https://doi.org/10.1109/IEMBS.2006.260126
Publication status	Published - 2006
MoE publication type	A4 Article in a conference publication
Event	28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006 - New York, United States Duration: 30 Aug 2006 → 3 Sept 2006

Conference

Conference	28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006
Abbreviated title	EMBS 2006
Country/Territory	United States
City	New York
Period	30/08/06 → 3/09/06

Keywords

wireless sensor network
humans
sampling methods
time division multiple

Access to Document

10.1109/IEMBS.2006.260126

Cite this

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title = "Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network",

abstract = "Balance and gait are a consequence of complex coordination between muscles, nerves, and central nervous system structures. The impairment of these functions can pose serious threats to independent living, especially in the elderly. This study was carried out to evaluate the performance of a wireless acceleration sensor network and its capability in balance estimation. The test has been carried out in eight patients and seven healthy controls. The Patients group had larger values in lateral amplitudes of the sensor displacement and smaller values in vertical displacement amplitudes of the sensor. The step time variations for the Patients were larger than those for the Controls. A fuzzy logic and clustering classifiers were implemented, which gave promising results suggesting that a person with balance deficits can be recognized with this system. We conclude that a wireless system is easier to use than a wired one and more unobtrusive to the user.",

keywords = "wireless sensor network, humans, sampling methods, time division multiple",

author = "Heidi Simil{\"a} and Jouni Kaartinen and Mikko Lindholm and Ari Saarinen and Ibrahim Mahjneh",

year = "2006",

doi = "10.1109/IEMBS.2006.260126",

language = "English",

isbn = "1-4244-0032-5",

pages = "1493--1496",

booktitle = "2006 International Conference of the IEEE Engineering in Medicine and Biology Society",

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

address = "United States",

note = "28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006, EMBS 2006 ; Conference date: 30-08-2006 Through 03-09-2006",

}

Similä, H, Kaartinen, J, Lindholm, M, Saarinen, A & Mahjneh, I 2006, Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network. in 2006 International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, pp. 1493-1496, 28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006, New York, New York, United States, 30/08/06. https://doi.org/10.1109/IEMBS.2006.260126

Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network. / Similä, Heidi; Kaartinen, Jouni; Lindholm, Mikko et al.
2006 International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, 2006. p. 1493-1496.

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

TY - GEN

T1 - Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network

AU - Similä, Heidi

AU - Kaartinen, Jouni

AU - Lindholm, Mikko

AU - Saarinen, Ari

AU - Mahjneh, Ibrahim

PY - 2006

Y1 - 2006

N2 - Balance and gait are a consequence of complex coordination between muscles, nerves, and central nervous system structures. The impairment of these functions can pose serious threats to independent living, especially in the elderly. This study was carried out to evaluate the performance of a wireless acceleration sensor network and its capability in balance estimation. The test has been carried out in eight patients and seven healthy controls. The Patients group had larger values in lateral amplitudes of the sensor displacement and smaller values in vertical displacement amplitudes of the sensor. The step time variations for the Patients were larger than those for the Controls. A fuzzy logic and clustering classifiers were implemented, which gave promising results suggesting that a person with balance deficits can be recognized with this system. We conclude that a wireless system is easier to use than a wired one and more unobtrusive to the user.

AB - Balance and gait are a consequence of complex coordination between muscles, nerves, and central nervous system structures. The impairment of these functions can pose serious threats to independent living, especially in the elderly. This study was carried out to evaluate the performance of a wireless acceleration sensor network and its capability in balance estimation. The test has been carried out in eight patients and seven healthy controls. The Patients group had larger values in lateral amplitudes of the sensor displacement and smaller values in vertical displacement amplitudes of the sensor. The step time variations for the Patients were larger than those for the Controls. A fuzzy logic and clustering classifiers were implemented, which gave promising results suggesting that a person with balance deficits can be recognized with this system. We conclude that a wireless system is easier to use than a wired one and more unobtrusive to the user.

KW - wireless sensor network

KW - humans

KW - sampling methods

KW - time division multiple

U2 - 10.1109/IEMBS.2006.260126

DO - 10.1109/IEMBS.2006.260126

M3 - Conference article in proceedings

SN - 1-4244-0032-5

SP - 1493

EP - 1496

BT - 2006 International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006

Y2 - 30 August 2006 through 3 September 2006

ER -

Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network

Abstract

Conference

Keywords

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