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 proceedingConference article in proceedingsScientificpeer-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 languageEnglish
Title of host publication2006 International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1493-1496
ISBN (Print)1-4244-0032-5
DOIs
Publication statusPublished - 2006
MoE publication typeA4 Article in a conference publication
Event28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006 - New York, United States
Duration: 30 Aug 20063 Sep 2006

Publication series

Name
ISSN (Print)1557-170X

Conference

Conference28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006
Abbreviated titleEMBS 2006
CountryUnited States
CityNew York
Period30/08/063/09/06

Fingerprint

Sensor networks
Fuzzy clustering
Sensors
Neurology
Fuzzy logic
Muscle
Classifiers

Keywords

  • wireless sensor network
  • humans
  • sampling methods
  • time division multiple

Cite this

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 (pp. 1493-1496). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/IEMBS.2006.260126
Similä, Heidi ; Kaartinen, Jouni ; Lindholm, Mikko ; Saarinen, Ari ; Mahjneh, Ibrahim. / Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network. 2006 International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronic Engineers IEEE, 2006. pp. 1493-1496
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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. Institute of Electrical and Electronic Engineers IEEE, pp. 1493-1496, 28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2006, 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; Saarinen, Ari; Mahjneh, Ibrahim.

2006 International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronic Engineers IEEE, 2006. p. 1493-1496.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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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.

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Similä H, Kaartinen J, Lindholm M, Saarinen A, Mahjneh I. Human Balance Estimation Using a Wireless 3D Acceleration Sensor Network. In 2006 International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronic Engineers IEEE. 2006. p. 1493-1496 https://doi.org/10.1109/IEMBS.2006.260126