Conf Proc IEEE Eng Med Biol Soc. 2011 Aug;2011:5240-3.
Kostikis N, Hristu-Varsakelis D, Arnaoutoglou M, Kotsavasiloglou C, Baloyiannis S.
Abstract
Recent
advances in mobile phone technology have placed an impressive array of
sensing and communication equipment at the hands of an ever-growing
number of people. One of the areas which can potentially be transformed
by the availability of what is essentially a cheap, ubiquitous
networked sensor, is that of remote diagnosis of movement disorders,
such as Parkinson's disease. This work describes a smartphone-based
method for detecting and quantifying the hand tremor associated with
movement disorders using signals from the accelerometer and gyroscope
embedded in the patient's phone. Our approach is web-based and
user-friendly, requiring minimal user interaction. In clinical
experiments with twenty subjects, we found that by combining both
accelerometer and gyroscope signals, we were able to correctly identify
those with hand tremor, using very simple signal metrics.
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