SP22: Simulated PD Study

Citation Author(s):
Aditya
Shanghavi
Rhutuja
Patil
Bradley
Duerstock
Satyajit
Ambike
Anne
Sereno
Submitted by:
Aditya Shanghavi
Last updated:
Wed, 10/19/2022 - 14:28
DOI:
10.21227/cthq-6b68
License:
0
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Abstract 

Parkinson’s Disease (PD) is the second most common neurodegenerative disorder with resting tremor (RT) being it's most common motor symptom. This study aimed to determine the features of wrist velocity and acceleration that can be used as objective, reliable, and sensitive detectors of RT. Forty-five healthy young adults imitated RT in both hands after observing a video of RT in a person with PD. Inertial measurement units placed on both wrists recorded the linear acceleration and angular velocity, which were used to calculate linear velocity and angular acceleration. Power spectral density analysis of the velocities and accelerations during the simulated tremor showed peak tremor frequency in the range of 2.0-7.2 Hz, similar to the ranges reported in PD patients (3.5-7.5 Hz). A Support Vector Machine classifier successfully differentiated between the tremor condition and a non-tremor condition (with participants holding their wrists steady) using the features of the spectral densities of the wrist kinematics with 97.2% accuracy. These findings suggest a simple method for providing objective measures of RT. Future work will focus on validating this method in PD patients and developing objective measures to supplement existing clinical measures of progression of PD.

Instructions: 

The folder contains 2 sub folders for each wrist sensor. 1FCD is for the left wrist and D3DO is for the right wrist.

Each sensor subfolder contains 57 participant data folder (MT_0001 to MT_0057). 

 

Within each participant data folder there are 2 CSV files. 

Session 1 is the "no tremor" task and Session 2 is the "sim tremor" task.

 

There were data collection issues with the following subjects: 1,2,3,4,5,6,7,8,9,10,25,47

Code will be made available on reasonable request.