Accuracy of smartphone video for contactless measurement of hand tremor frequency
2020
Background: Computer vision can measure movement from video without the time and access
limitations of hospital accelerometry/electromyography or the requirement to hold or strap a smartphone
accelerometer.
Objective: To compare computer vision measurement of hand tremor frequency from smartphone video with a
gold standard measure accelerometer.
Methods: A total of 37 smartphone videos of hands, at rest and in posture, were recorded from 15 participants
with tremor diagnoses (9 Parkinson’s disease, 5 essential tremor, 1 functional tremor). Video pixel movement
was measured using the computing technique of optical flow, with contemporaneous accelerometer recording.
Fast Fourier transform and Bland-Altman analysis were applied. Tremor amplitude was scored by 2 clinicians.
Results: Bland-Altman analysis of dominant tremor frequency from smartphone video compared with
accelerometer showed excellent agreement: 95% limits of agreement −0.38 Hz to +0.35 Hz. In 36 of 37 videos
(97%), there was <0.5 Hz difference between computer vision and accelerometer measurement. There was no
significant correlation between the level of agreement and tremor amplitude.
Conclusion: The study suggests a potential new, contactless point-and-press measure of tremor frequency
within standard clinical settings, research studies, or telemedicine.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
18
References
2
Citations
NaN
KQI