Monitoring of Parkinson’s Patients Gait Using Simple Walker Based Motion Sensing and Data Analysis PUBLIC ACCESS

[+] Author Affiliations
Vered Aharonson

Afeka Tel Aviv Academic College of Engineering, Tel Aviv, IsraelUniversity of the Witwatersrand, South Africa

Ilana Schlesinger

RAMBAM Healthcare Campus, Haifa, Israel

Andre McDonald

University of the Witwatersrand, South AfricaCouncil for Scientific and Industrial Research, South Africa

Steven Dubowsky

Massachusetts Institute of Technology, Cambridge, MA

Amos Korczyn

Tel-Aviv University Medical School, Tel-Aviv, Israel

Paper No. DMD2017-3301, pp. V001T11A001; 2 pages
  • 2017 Design of Medical Devices Conference
  • 2017 Design of Medical Devices Conference
  • Minneapolis, Minnesota, USA, April 10–13, 2017
  • ISBN: 978-0-7918-4067-2
  • Copyright © 2017 by ASME


Parkinson’s disease (PD) is a degenerative disease with diverse clinical features. At present, there is no definitive test for the diagnosis of PD [1]. Instead, PD is diagnosed using clinical criteria which are based on the presence and presentation of signs such as rest tremor, bradykinesia, rigidity, loss of postural reflexes, shuffling gait and freezing, as well as non-motor symptoms.

Various treatments, ranging from physical therapy and medications to invasive treatments, can help relieve some PD symptoms. These treatments need quantitative monitoring and efficacy evaluation methods in order to provide higher quality, patient-centered care. A quantitative assessment of the patients’ clinical symptoms can also provide a timely alert to adverse events [2]. A variety of devices employing sensors with the purpose of monitoring PD patients’ symptoms were developed [3, 4]. Most of these devices are costly and / or complex in operation and maintenance, which limits their practicality in busy hospital / clinic environments and for home use. Moreover, they do not provide appropriate solutions for monitoring more severe cases of PD, where the patient requires a walking aid such as a cane or walker.

Copyright © 2017 by ASME
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