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Quantification of Head Tremors in Medical Conditions: A Comparison of Analyses Using a 2D Video Camera and a 3D Wireless Inertial Motion Unit.

Authors :
Amarantini D
Rieu I
Castelnovo G
Fluchère F
Laurencin C
Degos B
Poujois A
Kreisler A
Sangla S
Tir M
Benatru I
Blanchet-Fourcade G
Guehl D
Gayraud D
Tatu L
Tranchant C
Durif F
Simonetta-Moreau M
Source :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Mar 19; Vol. 22 (6). Date of Electronic Publication: 2022 Mar 19.
Publication Year :
2022

Abstract

This study compares two methods to quantify the amplitude and frequency of head movements in patients with head tremor: one based on video-based motion analysis, and the other using a miniature wireless inertial magnetic motion unit (IMMU). Concomitant with the clinical assessment of head tremor severity, head linear displacements in the frontal plane and head angular displacements in three dimensions were obtained simultaneously in forty-nine patients using one video camera and an IMMU in three experimental conditions while sitting (at rest, counting backward, and with arms extended). Head tremor amplitude was quantified along/around each axis, and head tremor frequency was analyzed in the frequency and time-frequency domains. Correlation analysis investigated the association between the clinical severity of head tremor and head linear and angular displacements. Our results showed better sensitivity of the IMMU compared to a 2D video camera to detect changes of tremor amplitude according to examination conditions, and better agreement with clinical measures. The frequency of head tremor calculated from video data in the frequency domain was higher than that obtained using time-frequency analysis and those calculated from the IMMU data. This study provides strong experimental evidence in favor of using an IMMU to quantify the amplitude and time-frequency oscillatory features of head tremor, especially in medical conditions.

Details

Language :
English
ISSN :
1424-8220
Volume :
22
Issue :
6
Database :
MEDLINE
Journal :
Sensors (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
35336555
Full Text :
https://doi.org/10.3390/s22062385