Literature DB >> 17282356

Development of a wearable device capable of monitoring human activity for use in rehabilitation and certification of eligibility for long-term care.

K Motoi1, Y Higashi, Y Kuwae, T Yuji, S Tanaka, K Yamakoshi.   

Abstract

The importance of human posture monitoring is well recognized in the field of rehabilitation, in order to evaluate quantitatively the effectiveness of rehabilitation by a physical therapist. The activity monitoring is also well recognized as being useful in the field of certification of eligibility for long-term care. Assessment of the actual physical condition of the applicant tends to be difficult when determine the level of need for long-term care. Taking these circumstances in consideration, we attempted to measure the activities of patients in rehabilitation using a wearable device for monitoring human activity. The results clearly demonstrated that detailed motion characteristics could be detected during standing up, walking and sitting up as angle changes between specific body segments and as trunk motion acceleration.

Entities:  

Year:  2005        PMID: 17282356     DOI: 10.1109/IEMBS.2005.1616587

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Development of a smart garment to reduce kyphosis during daily living.

Authors:  Edmond Lou; Gabrielle C Lam; Douglas L Hill; M S Wong
Journal:  Med Biol Eng Comput       Date:  2011-12-18       Impact factor: 2.602

Review 2.  Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review.

Authors:  Dax Steins; Helen Dawes; Patrick Esser; Johnny Collett
Journal:  J Neuroeng Rehabil       Date:  2014-03-13       Impact factor: 4.262

3.  Factors Associated with Callus Formation in the Plantar Region through Gait Measurement in Patients with Diabetic Neuropathy: An Observational Case-Control Study.

Authors:  Ayumi Amemiya; Hiroshi Noguchi; Makoto Oe; Kimie Takehara; Yumiko Ohashi; Ryo Suzuki; Toshimasa Yamauchi; Takashi Kadowaki; Hiromi Sanada; Taketoshi Mori
Journal:  Sensors (Basel)       Date:  2020-08-28       Impact factor: 3.576

  3 in total

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