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Motion Sensors to Assess and Monitor Medical and Surgical Management of Parkinsonandrsquo;s Disease | OMICS International | Abstract
ISSN: 2329-9096

International Journal of Physical Medicine & Rehabilitation
Open Access

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Review Article

Motion Sensors to Assess and Monitor Medical and Surgical Management of Parkinson’s Disease

Bryan Lieber BA1,4, Blake Taylor BA2,4,5, Geoff Appelboom2,4*, Guy McKhann2 and E. Sander Connolly2,3,4

1Department of Neurosurgery, New York University, New York, NY, USA

2Department of Neurosurgery, Columbia University, New York, NY, USA

3Neurointensive Care Unit, Columbia University, New York, NY, USA

4Cerebrovascular Lab, Columbia University, New York, NY, USA

5College of Physicians and Surgeons, Columbia University, New York, NY, USA

*Corresponding Author:
Geoff Appelboom
Columbia University Medical Center 630
West 168th Street Suite 5-454, USA
Tel: 561-542-0982
E-mail: [email protected]

Received Date: July 06, 2014; Accepted Date: August 21, 2014; Published Date: August 25, 2014

Citation: Bryan Lieber BA, Blake Taylor BA, Appelboom G, McKhann G, Sander Connolly E (2014) Motion Sensors to Assess and Monitor Medical and Surgical Management of Parkinson’s Disease. Int J Phys Med Rehabil 2:221. doi: 10.4172/2329-9096.1000221

Copyright: © 2014 Bryan Lieber BA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Patients with Parkinson’s Disease (PD) often suffer from a resting tremor, bradykinesia, rigidity, postural instability and gait difficulty. Determining a patient’s candidacy for Deep-Brain Stimulation (DBS) surgery and tracking their clinical response postoperatively requires that the frequency, duration, and severity of these symptoms be characterized in detail. Conventional means of assessing these symptoms, however, rely heavily on patient selfreporting, which often fails to provide the necessary level of detail. Wearable accelerometers are a novel tool that can detect and objectively characterize these movement abnormalities both in the clinical setting as well as in the patient’s home environment. In this article, we review the role of accelerometers in surgical candidate selection, recording and predicting falls, recording and predicting freezing of gait, evaluating surgical outcomes, and evaluating postoperative recovery and in altering DBS settings. While accelerometry has yet to make it into the mainstream clinic, there is great promise for this technology in monitoring Parkinson’s patients.


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