Upper limb orientation assessment as an articulated body chain. (September 2022)

• Record Type: Journal Article
• Authors: Contreras Rodríguez, Lauro Armando; Barraza Madrigal, José Antonio; Cardiel, Eladio; Hernández, Pablo Rogelio
• Is Part Of: Medical engineering & physics. Volume 107(2022)
• Publication Date: 2022-09
• Subjects: Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2022.103852
• Languages: English
• ISSNs: 1350-4533

Abstract

Highlights: Upper limb 3D orientation assessment. Upper limb evaluation as an articulated body chain. Multiple body segments analysis based on MARG sensors. Joint's activity estimation by compensating two contiguous body segments. Abstract: Upper limb orientation estimation based on Magnetic, Angular Rate, and Gravity sensors considering multiple body segments is presented in this work. The proposal allowed assessing the activity of two or more body segments individually and jointly, regardless of their spatial relationship. A custom-made system was developed incorporating a complementary filter and a proportional-integral control for data sensor merging and, noise and instrumentation error reduction. Two controlled tests were carried out to assess the performance of the system. The former evaluated the response of the method in motionless conditions, while the latter assessed the feasibility to follow trajectories in 3D space. Ten volunteers were recruited to evaluate the system performance in three semi-controlled and daily life task tests. The system was evaluated using the common parameters in motion tracking methods and relied on a digital motion processor. The system's outcome presented a root mean square error in the range of 2.65°-3.98° for the semi-controlled tests and 0.48°-1.389° for the daily life task test. The system tests analysis proved that the proposal permitted obtaining the articulated body chain information of multiple segments when three or more MARG sensors are used.