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

Neurological Tremor: Sensors, Signal Processing and Emerging Applications

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Received: 23 December 2009; in revised form: 22 January 2010 / Accepted: 20 February 2010 / Published: 24 February 2010
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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)
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MDPI and ACS Style

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

AMA Style

Grimaldi G, Manto M. Neurological Tremor: Sensors, Signal Processing and Emerging Applications. Sensors. 2010; 10(2):1399-1422.

Chicago/Turabian Style

Grimaldi, Giuliana; Manto, Mario. 2010. "Neurological Tremor: Sensors, Signal Processing and Emerging Applications." Sensors 10, no. 2: 1399-1422.

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