LeMoyne, R., Coroian, C., Mastroianni, T., Opalinski, P., Cozza, M. and Grundfest, W. (2009) The merits of artificial proprioception, with applications in biofeedback gait rehabilitation concepts and movement disorder characterization. In: Barros de Mello, C.A., Ed., Biomedical Engineering, Intech, Vienna, 165-198.

has been cited by the following article:

• TITLE: Wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients—A perspective review

  AUTHORS: Robert LeMoyne

  KEYWORDS: Parkinson’s Disease; Wireless Accelerometer; Parkinson’s Disease Tremor Quantification; Wearable Device

  JOURNAL NAME: Advances in Parkinson's Disease, Vol.2 No.4, November 6, 2013

  ABSTRACT: Parkinson’s disease is a growing medical concern as societies, such as the United States of America, become progressively aged. Therapy strategies exist for the amelioration of Parkinson’s disease symptoms, and the quantification of attributes, such as hand tremor, can provide valuable feedback. Wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients have been progressively advanced over the course of the past half-decade. In particular, wireless accelerometer nodes and smartphones, such as the iPhone, hold promise for optimizing therapy strategy by providing convenient quantified feedback. This perspective review addresses the current advances in wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients and forecasts for the near future.