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Article

High Specificity of Single Inertial Sensor-Supplemented Timed Up and Go Test for Assessing Fall Risk in Elderly Nursing Home Residents

by
Frédéric Dierick
1,2,3,
Pierre-Loup Stoffel
4,
Gaston Schütz
5 and
Fabien Buisseret
3,4,6,*
1
Laboratoire d’Analyse du Mouvement et de la Posture (LAMP), Centre National de Rééducation Fonctionnelle et de Réadaptation—Rehazenter, Rue André Vésale 1, 2674 Luxembourg, Luxembourg
2
Faculté des Sciences de la Motricité, Université Catholique de Louvain, Place Pierre de Coubertin 2, 1348 Ottignies-Louvain-la-Neuve, Belgium
3
CeREF-Technique, Chaussée de Binche 159, 7000 Mons, Belgium
4
Forme and Fonctionnement Humain Laboratory, Department of Physical Therapy, Haute Ecole Louvain en Hainaut, Rue Trieu Kaisin 136, 6061 Montignies-sur-Sambre, Belgium
5
Centre National de Rééducation Fonctionnelle et de Réadaptation—Rehazenter, Rue André Vésale 1, 2674 Luxembourg, Luxembourg
6
Service de Physique Nucléaire et Subnucléaire, UMONS Research Institute for Complex Systems, Université de Mons, Place du Parc 20, 7000 Mons, Belgium
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(6), 2339; https://doi.org/10.3390/s22062339
Submission received: 1 February 2022 / Revised: 14 March 2022 / Accepted: 15 March 2022 / Published: 17 March 2022
(This article belongs to the Special Issue Wearable Sensors Applied in Movement Analysis)

Abstract

The Timed Up and Go test (TUG) is commonly used to estimate the fall risk in the elderly. Several ways to improve the predictive accuracy of TUG (cameras, multiple sensors, other clinical tests) have already been proposed. Here, we added a single wearable inertial measurement unit (IMU) to capture the residents’ body center-of-mass kinematics in view of improving TUG’s predictive accuracy. The aim is to find out which kinematic variables and residents’ characteristics are relevant for distinguishing faller from non-faller patients. Data were collected in 73 nursing home residents with the IMU placed on the lower back. Acceleration and angular velocity time series were analyzed during different subtasks of the TUG. Multiple logistic regressions showed that total time required, maximum angular velocity at the first half-turn, gender, and use of a walking aid were the parameters leading to the best predictive abilities of fall risk. The predictive accuracy of the proposed new test, called i + TUG, reached a value of 74.0%, with a specificity of 95.9% and a sensitivity of 29.2%. By adding a single wearable IMU to TUG, an accurate and highly specific test is therefore obtained. This method is quick, easy to perform and inexpensive. We recommend to integrate it into daily clinical practice in nursing homes.
Keywords: TUG; kinematics; fall risk; logistic regression; elderly; inertial sensor TUG; kinematics; fall risk; logistic regression; elderly; inertial sensor

Share and Cite

MDPI and ACS Style

Dierick, F.; Stoffel, P.-L.; Schütz, G.; Buisseret, F. High Specificity of Single Inertial Sensor-Supplemented Timed Up and Go Test for Assessing Fall Risk in Elderly Nursing Home Residents. Sensors 2022, 22, 2339. https://doi.org/10.3390/s22062339

AMA Style

Dierick F, Stoffel P-L, Schütz G, Buisseret F. High Specificity of Single Inertial Sensor-Supplemented Timed Up and Go Test for Assessing Fall Risk in Elderly Nursing Home Residents. Sensors. 2022; 22(6):2339. https://doi.org/10.3390/s22062339

Chicago/Turabian Style

Dierick, Frédéric, Pierre-Loup Stoffel, Gaston Schütz, and Fabien Buisseret. 2022. "High Specificity of Single Inertial Sensor-Supplemented Timed Up and Go Test for Assessing Fall Risk in Elderly Nursing Home Residents" Sensors 22, no. 6: 2339. https://doi.org/10.3390/s22062339

APA Style

Dierick, F., Stoffel, P.-L., Schütz, G., & Buisseret, F. (2022). High Specificity of Single Inertial Sensor-Supplemented Timed Up and Go Test for Assessing Fall Risk in Elderly Nursing Home Residents. Sensors, 22(6), 2339. https://doi.org/10.3390/s22062339

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