Wavelet and Fourier based Analysis of Essential Tremor Motion using MEMS Accelerometers and Gyroscopes

W.J. Teskey, M. Elhabiby, and N. El-Sheimy (Canada)

Keywords

Essential tremor, continuous wavelet transform, MEMS

Abstract

The use of inertial sensors (accelerometers and gyroscopes) in characterizing essential tremor (ET) motion is quite prevalent. For this reason, it is important to determine the following for accelerometers and gyroscopes: (i) whether frequency localization offered by utilizing wavelets provides significant advantages to a Fourier based approach of analyzing data (ii) whether accelerometers or gyroscopes can better distinguish ET motion from that of a control (iii) whether three axes of inertial sensor measurement are required to assess essential tremor motion. To examine the above mentioned areas of inquiry, triaxial inertial sensor signals were captured for patients using their dominant hand to direct a laser at targets on a computer screen whilst sitting in an upright position. Participants were asked to keep their arm extended in front of them with slight bend in their elbow; 7 ET patients (5 males, 2 females) with a mean age of 66 and 9 controls (4 males, 5 females) with a mean age of 64 took part. Analysis of the inertial data showed that both accelerometer and gyroscope sensors mounted along any arbitrary axis provide similar frequency of motion information and that frequency localization using wavelets offers some advantages to a Fourier based approach.

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