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Analysis of the Effect of Common Disturbances on the Safety of a Wearable Tremor Suppression Device
- Source :
- Mechanical and Materials Engineering Publications
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- The advent of wearable technology has enabled a large number of externally worn mechatronic devices to be developed and tested on people with movement disorders. The complexity of these disorders and the variety of conditions across different patients have resulted in a pressing demand for the incorporation of intelligent control systems, especially for a wearable tremor suppression device (WTSD) that can suppress tremor without impeding the user's voluntary motion. Several devices have been developed to reduce tremor; however, the evaluations of these devices have only been done in a controlled lab setting, while the functionality and ability to avoid user injury under the effect of disturbances during daily use have not been investigated. In this study, the performance of a WTSD was tested with several commonly used tremor suppression control systems, i.e., Weight-frequency Fourier Linear Combiner (WFLC), Bandlimited Multiple Fourier Linear Combiner, and enhanced High-order WFLC-based Kalman Filter, on a bench-top tremor simulator. These systems were also tested under the influence of three simulated disturbances that are commonly seen in real life, i.e., data mutation, sensor drift, and measurement loss. The experimental evaluation showed that none of these systems are safe under the disturbances. The tremor power suppression ratio (67.8%–94.2%) of the WTSD was not significantly lowered by the disturbances; however, the error when tracking voluntary motion significantly increased by 8.8 $^\circ$ –93.6 $^\circ$ , which may present a safety hazard to the users. The results of this study emphasize the importance of integrating safety measures into intelligent WTSDs.
- Subjects :
- Control and Optimization
Movement disorders
wearable robotics
Computer science
Biomedical Engineering
Wearable computer
02 engineering and technology
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
Robustness (computer science)
0202 electrical engineering, electronic engineering, information engineering
medicine
Wearable technology
Simulation
business.industry
Mechanical Engineering
020208 electrical & electronic engineering
Kalman filter
Mechatronics
Computer Science Applications
Human-Computer Interaction
Robot safety
Microcontroller
Control and Systems Engineering
Control system
Computer Vision and Pattern Recognition
medicine.symptom
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 23773774
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Robotics and Automation Letters
- Accession number :
- edsair.doi.dedup.....9bed7aa31b7b8c20c89f827536bcf0bf
- Full Text :
- https://doi.org/10.1109/lra.2021.3062592