Human Balance Estimation using a Wireless 3D Acceleration Sensor Network. Simila, H., Kaartinen, J., Lindholm, M., Saarinen, A., & Mahjneh, I. In Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, pages 1493--1496, 2006.
doi  abstract   bibtex   
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
@InProceedings{Simila2006,
  Title                    = {Human Balance Estimation using a Wireless 3D Acceleration Sensor Network},
  Author                   = {Simila, H. and Kaartinen, J. and Lindholm, M. and Saarinen, A. and Mahjneh, I.},
  Booktitle                = {Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society},
  Year                     = {2006},
  Pages                    = {1493--1496},

  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},
  Doi                      = {10.1109/IEMBS.2006.260126},
  ISSN                     = {1557-170X},
  Keywords                 = {Acceleration;Accelerometers;Bluetooth;Body sensor networks;Humans;Media Access Protocol;Mobile handsets;Sampling methods;Time division multiple access;Wireless sensor networks;acceleration measurement;biomedical measurement;fuzzy logic;gait analysis;mechanoception;muscle;neurophysiology;wireless sensor networks;central nervous system;clustering classifier;complex coordination;fuzzy logic;gait;human balance estimation;muscle;wireless 3D acceleration sensor network;},
  Timestamp                = {2013.01.15}
}
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