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Sensors 2010, 10(2), 1399-1422; doi:10.3390/s100201399

Neurological Tremor: Sensors, Signal Processing and Emerging Applications

FNRS, Neurologie ULB-Erasme, 808 Route de Lennik, 1070 Bruxelles, Belgium
* Author to whom correspondence should be addressed.
Received: 23 December 2009 / Revised: 22 January 2010 / Accepted: 20 February 2010 / Published: 24 February 2010
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Neurological tremor is the most common movement disorder, affecting more than 4% of elderly people. Tremor is a non linear and non stationary phenomenon, which is increasingly recognized. The issue of selection of sensors is central in the characterization of tremor. This paper reviews the state-of-the-art instrumentation and methods of signal processing for tremor occurring in humans. We describe the advantages and disadvantages of the most commonly used sensors, as well as the emerging wearable sensors being developed to assess tremor instantaneously. We discuss the current limitations and the future applications such as the integration of tremor sensors in BCIs (brain-computer interfaces) and the need for sensor fusion approaches for wearable solutions.
Keywords: tremor; sensors; signal analysis; brain-computer interface (BCI) tremor; sensors; signal analysis; brain-computer interface (BCI)
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Grimaldi, G.; Manto, M. Neurological Tremor: Sensors, Signal Processing and Emerging Applications. Sensors 2010, 10, 1399-1422.

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