Reliability and validity of estimated angles information assessed using inertial measurement unit-based motion sensors

被引:0
作者
Morikawa, Taiki [1 ,2 ]
Mura, Nariyuki [2 ]
Sato, Toshiaki [2 ]
Katoh, Hiroshi [2 ]
机构
[1] Eniwa Hosp, Dept Rehabil, Eniwa, Hokkaido, Japan
[2] Yamagata Prefectural Univ Hlth Sci, Grad Sch, Yamagata, Japan
关键词
IMU-based sensor; reliability; validity; three-dimensional motion analyzer; ANGULAR VELOCITY; ORIENTATION; AGREEMENT; MOVEMENT;
D O I
10.3233/BME-240031
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
BACKGROUND: Inertial measurement unit (IMU)-based motion sensors are affordable, and their use is appropriate for rehabilitation. However, regarding the accuracy of estimated angle information obtained from this sensor, it is reported that it is likely affected by velocity. OBJECTIVE: The present study investigated the reliability and validity of the angle information obtained using IMU-based sensors compared with a three-dimensional (3D) motion analyzer. METHODS: The Euler angle obtained using the 3D motion analyzer and the angle obtained using the IMU-based sensor (IMU angle) were compared. Reliability was assessed by comparing the Bland-Altman analysis, intra-class correlation coefficient (ICC) (1,1), and cross-correlation function. The root mean square (RMS) error, ICC (2,1), and cross-correlation function were used to compare data on the Euler and IMU angles to evaluate the validity. RESULTS: Regarding reliability, the Bland-Atman analysis indicated no fixed or proportional bias in the angle measurements. The measurement errors ranged from 0.2 degrees to 3.2 degrees. In the validity, the RMS error ranged from 0.3 degrees to 2.2 degrees. The ICCs (2,1) were 0.9. The cross-correlation functions were >0.9, which indicated a high degree of agreement. CONCLUSION: The IMU-based sensor had a high reliability and validity. The IMU angle may be used in rehabilitation.
引用
收藏
页码:439 / 450
页数:12
相关论文
共 38 条
[1]  
Abyarjoo Fatemeh., 2015, Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering, P305, DOI [DOI 10.1007/978-3-319-06773-5_41, 10.1007/978-3-319-06773-5_41]
[2]   Testing the Generalizability of Indirect Range Restriction Corrections [J].
Beatty, Adam S. ;
Barratt, Clare L. ;
Berry, Christopher M. ;
Sackett, Paul R. .
JOURNAL OF APPLIED PSYCHOLOGY, 2014, 99 (04) :587-598
[3]   STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT [J].
BLAND, JM ;
ALTMAN, DG .
LANCET, 1986, 1 (8476) :307-310
[4]   Motion Analysis System (MAS) for production and ergonomics assessment in the manufacturing processes [J].
Bortolini, Marco ;
Faccio, Maurizio ;
Gamberi, Mauro ;
Pilati, Francesco .
COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 139
[5]  
Cutti Andrea Giovanni, 2006, Conf Proc IEEE Eng Med Biol Soc, V2006, P5912
[6]   A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes [J].
Dejnabadi, H ;
Jolles, BM ;
Aminian, K .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2005, 52 (08) :1478-1484
[7]   Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors [J].
Dejnabadi, Hooman ;
Jolles, Brigitte M. ;
Casanova, Emilio ;
Fua, Pascal ;
Aminian, Kamiar .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2006, 53 (07) :1385-1393
[8]   A New Quaternion-Based Kalman Filter for Human Body Motion Tracking Using the Second Estimator of the Optimal Quaternion Algorithm and the Joint Angle Constraint Method with Inertial and Magnetic Sensors [J].
Duan, Yingbo ;
Zhang, Xiaoyue ;
Li, Zhibing .
SENSORS, 2020, 20 (21) :1-19
[9]   The Use of Wearable Inertial Motion Sensors in Human Lower Limb Biomechanics Studies: A Systematic Review [J].
Fong, Daniel Tik-Pui ;
Chan, Yue-Yan .
SENSORS, 2010, 10 (12) :11556-11565
[10]   A comparison of lumbar spine and muscle loading between male and female workers during box transfers [J].
Gagnon, Denis ;
Plamondon, Andre ;
Lariviere, Christian .
JOURNAL OF BIOMECHANICS, 2018, 81 :76-85