Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster

January 9, 2023

Affiliations

¹ Mechanical Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USA.
² Doctor of Physical Therapy Program, School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA 92182, USA.
³ Electrical and Computer Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USA.

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Kee S Moon et al.

Sensors (Basel).

2022.

Affiliations

¹ Mechanical Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USA.
² Doctor of Physical Therapy Program, School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA 92182, USA.
³ Electrical and Computer Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USA.

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Abstract

Spine movement is a daily activity that can indicate health status changes, including low back pain (LBP) problems. Repetitious and continuous movement on the spine and incorrect postures during daily functional activities may lead to the potential development and persistence of LBP problems. Therefore, monitoring of posture and movement is essential when designing LBP interventions. Typically, LBP diagnosis is facilitated by monitoring upper body posture and movement impairments, particularly during functional activities using body motion sensors. This study presents a fully wireless multi-sensor cluster system to monitor spine movements. The study suggests an attempt to develop a new method to monitor the lumbopelvic movements of interest selectively. In addition, the research employs a custom-designed robotic lumbar spine simulator to generate the ideal lumbopelvic posture and movements for reference sensor data. The mechanical motion templates provide an automated sensor pattern recognition mechanism for diagnosing the LBP.

Keywords:

body area network (BAN); body kinematics; inertial measurement unit; low back pain; medical equipment; multi-sensor fusion; robotic simulator; wearable biomedical sensors; wireless network.

Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster

Affiliations

Affiliations

Abstract

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