Test Re-Test Reliability and Concurrent Validity of Cervical Active Range of Motion in Young Asymptomatic Adults Using a New Inertial Measurement Unit Device

Author(s):  
A. Chalimourdas ◽  
Z. Dimitriadis ◽  
E. Kapreli ◽  
N. Strimpakos
Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5019
Author(s):  
Justine Hellec ◽  
Frédéric Chorin ◽  
Andrea Castagnetti ◽  
Serge S. Colson

Wearable sensors have recently been used to evaluate biomechanical parameters of everyday movements, but few have been located at the head level. This study investigated the relative and absolute reliability (intra- and inter-session) and concurrent validity of an inertial measurement unit (IMU) embedded in smart eyeglasses during sit-to-stand (STS) movements for the measurement of maximal acceleration of the head. Reliability and concurrent validity were investigated in nineteen young and healthy participants by comparing the acceleration values of the glasses’ IMU to an optoelectronic system. Sit-to-stand movements were performed in laboratory conditions using standardized tests. Participants wore the smart glasses and completed two testing sessions with STS movements performed at two speeds (slow and comfortable) under two different conditions (with and without a cervical collar). Both the vertical and anteroposterior acceleration values were collected and analyzed. The use of the cervical collar did not significantly influence the results obtained. The relative reliability intra- and inter-session was good to excellent (i.e., intraclass correlation coefficients were between 0.78 and 0.91) and excellent absolute reliability (i.e., standard error of the measurement lower than 10% of the average test or retest value) was observed for the glasses, especially for the vertical axis. Whatever the testing sessions in all conditions, significant correlations (p < 0.001) were found for the acceleration values recorded either in the vertical axis and in the anteroposterior axis between the glasses and the optoelectronic system. Concurrent validity between the glasses and the optoelectronic system was observed. Our observations indicate that the IMU embedded in smart glasses is accurate to measure vertical acceleration during STS movements. Further studies should investigate the use of these smart glasses to assess the STS movement in unstandardized settings (i.e., clinical and/or home) and to report vertical acceleration values in an elderly population of fallers and non-fallers.


2017 ◽  
Vol 38 (1) ◽  
pp. 56-71
Author(s):  
Juhyuk Yim ◽  
Hyunho Kim ◽  
Young-Jae Park ◽  
Young-Bae Park

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e98395 ◽  
Author(s):  
Michael H. Cole ◽  
Wolbert van den Hoorn ◽  
Justin K. Kavanagh ◽  
Steven Morrison ◽  
Paul W. Hodges ◽  
...  

Author(s):  
Muhammad Ajwad Wa’ie Hazman ◽  
Ili Najaa Aimi Mohd Nordin ◽  
Faridah Hanim Mohd Noh ◽  
Nurulaqilla Khamis ◽  
M. R. M. Razif ◽  
...  

<p>The methods used to quantify finger range of motion significantly influence how hand disability is reported. To date, the accuracy of sensors being utilized in data gloves from the literature has been ascertained yet need further analysis. This paper presents an inertial measurement unit sensor-based data glove for finger joint measurement developed for collecting a range of motion data of distal interphalangeal, proximal interphalangeal and metacarpophalangeal finger joints of an index finger. In this study, three inertial measurement sensors, MPU-6050 and two flexible bend sensors which are capable to detect angle displacement were attached to the distal interphalangeal, proximal interphalangeal and metacarpophalangeal finger joint points on the glove. The data taken from inertial measurement unit sensors and flexible bend sensors were acquired using Arduino and MATLAB software interface. The data obtained were compared with the reference data measured from goniometer to allow for accurate comparative measurement. The percentage of error resulted from MPU-6050 sensor unit were ranged from 0.81 % to 5.41 % were very low which indicates high accuracy when compared with the measurements obtained using goniometer. On the other hand, flexible bend sensor shows low accuracy (11.11 % to 19.35 % error). In conclusion, the inertial measurement unit sensor-based data glove using MPU-6050 sensors can be a reliable solution for tracking the progress of finger rehabilitation exercises. In order to motivate patients to adhere to the therapy exercises, interactive rehabilitation game will be developed in the future incorporating  MPU-6050 sensors on all five fingers.</p>


Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5297 ◽  
Author(s):  
Michael Alexander Wirth ◽  
Gabriella Fischer ◽  
Jorge Verdú ◽  
Lisa Reissner ◽  
Simone Balocco ◽  
...  

This study aims to compare a new inertial measurement unit based system with the highly accurate but complex laboratory gold standard, an optoelectronic motion capture system. Inertial measurement units are sensors based on accelerometers, gyroscopes, and/or magnetometers. Ten healthy subjects were recorded while performing flexion-extension and radial-ulnar deviation movements of their right wrist using inertial sensors and skin markers. Maximum range of motion during these trials and mean absolute difference between the systems were calculated. A difference of 10° ± 5° for flexion-extension and 2° ± 1° for radial-ulnar deviation was found between the two systems with absolute range of motion values of 126° and 50° in the respective axes. A Wilcoxon rank sum test resulted in a no statistical differences between the systems with p-values of 0.24 and 0.62. The observed results are even more precise than reports from previous studies, where differences between 14° and 27° for flexion-extension and differences between 6° and 17° for radial-ulnar deviation were found. Effortless and fast applicability, good precision, and low inter-observer variability make inertial measurement unit based systems applicable to clinical settings.


Sign in / Sign up

Export Citation Format

Share Document