LeMoyne, R., Mastroianni, T., Cozza, M., Coroian, C. and Grundfest, W. (2010) Implementation of an iPhone for characterizing Parkinson’s disease tremor through a wireless accelerometer application. Proceeding of the 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, 31 August-4 September 2010, 4954-4958.

has been cited by the following article:

• TITLE: Wireless accelerometer configuration for monitoring Parkinson’s disease hand tremor

  AUTHORS: Robert LeMoyne, Timothy Mastroianni, Warren Grundfest

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

  JOURNAL NAME: Advances in Parkinson's Disease, Vol.2 No.2, May 23, 2013

  ABSTRACT: Parkinson’s disease is neurodegenerative in nature and associated with characteristic movement disorders, such as hand tremor. Wireless accelerometer applications may advance the quality of care for Parkinson’s disease patients. The acceleration waveform of the respective hand tremor can be recorded and stored for post-processing and progressive status tracking. A wireless accelerometer configuration for monitoring Parkinson’s disease hand tremor is presented. The proposed configuration is envisioned to be conducted with the assistance of a caregiver. For initial engineering proof of concept simulated Parkinson’s disease tremor is recorded through a wireless accelerometer node and contrasted to a statically positioned and tandem activated wireless accelerometer node. Statistical significance is acquired regarding the quantification of the simulated Parkinson’s disease tremor acceleration waveform and statically positioned acceleration waveform, while demonstrating a considerable degree of accuracy, consistency, and reliability.