Movement examination of the lumbar spine using a developed wearable motion sensor

IF 2.8 Q3 ENGINEERING, BIOMEDICAL

Healthcare Technology Letters Pub Date : 2023-12-09 DOI:10.1049/htl2.12063

Reza Abbasi-Kesbi, Mohammad Fathi, Seyed Zaniyar Sajadi

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Abstract

A system for monitoring spinal movements based on wearable motion sensors is proposed here. For this purpose, a hardware system is first developed that measures data of linear acceleration, angular velocity, and the magnetic field of the spine. Then, the obtained data from these sensors are combined in a proposed complementary filter, and their angular variations are estimated. The obtained results of angular variation of this system in comparison with an accurate reference illustrate that the root mean squared error is less than 1.61 degrees for three angles of $ϕ_{r}$ , $θ_{r}$ and $ψ_{r}$ for this system that proves this system can accurately estimate the angular variation of the spine. Then, the system is mounted on the lumbar spine of several volunteers, and the obtained angles from the patients' spine are compared with some healthy volunteers' spine, and the performance of their spine improves over time. The results show that this system can be very effective for patients who suffer from back problems and help in their recovery process a lot.

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使用开发的可穿戴运动传感器进行腰椎运动检查

本文提出了一种基于可穿戴式运动传感器的脊柱运动监测系统。为此，首先开发了测量脊柱线加速度、角速度和磁场数据的硬件系统。然后，将这些传感器获得的数据合并到一个互补滤波器中，并估计它们的角度变化。将该系统的角度变化结果与精确的参考文献进行比较，表明该系统的三个角度的均方根误差小于1.61度，证明了该系统可以准确地估计脊柱的角度变化。然后，将该系统安装在几名志愿者的腰椎上，并将从患者脊柱获得的角度与一些健康志愿者的脊柱进行比较，随着时间的推移，他们的脊柱性能有所提高。结果表明，该系统对患有背部问题的患者非常有效，并有助于他们的康复过程。

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来源期刊

Healthcare Technology Letters Health Professions-Health Information Management

CiteScore

6.10

自引率

4.80%

发文量

审稿时长

22 weeks

期刊介绍： Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.