Accelerometer based quantitative outcome measurement for hand function test

K. Aneesha Acharya, Somashekara Bhat, M. Kanthi

Research output: Contribution to journalArticle

Abstract

Hand Function test gives relationship between functional limitations in activities and performance components such as range of motion and strength. This paper proposes a hand function test which incorporates sensor on the object. The quantitative parameters such as time and acceleration with which task is completed are measured. Accelerometer data is sensitive to the movement of the body and gives variety of movement patterns during task performance. Light dependent resistor (LDR) provides important movement queues, such as initialisation and completion of the selected activity. As sensors are embedded on the object, there is a scope for free movement of upper extremity during performance of test. Auto-time calculation during test session certainly reduces the clinician intervention time. Clinician can give more emphasis on functional movement of hand rather than spending time in documentation. The fields of application of this tool are in physiotherapy and occupational therapy.

Original languageEnglish
Pages (from-to)172-178
Number of pages7
JournalInternational Journal of Sensor Networks
Volume31
Issue number3
DOIs
Publication statusPublished - 01-01-2019

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Accelerometers
Occupational therapy
Physical therapy
Sensors
Resistors

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Aneesha Acharya, K. ; Bhat, Somashekara ; Kanthi, M. / Accelerometer based quantitative outcome measurement for hand function test. In: International Journal of Sensor Networks. 2019 ; Vol. 31, No. 3. pp. 172-178.
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Accelerometer based quantitative outcome measurement for hand function test. / Aneesha Acharya, K.; Bhat, Somashekara; Kanthi, M.

In: International Journal of Sensor Networks, Vol. 31, No. 3, 01.01.2019, p. 172-178.

Research output: Contribution to journalArticle

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