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Prediction of Passive Torque on Human Shoulder Joint Based on BPANN
Joint Authors
Dario, Paolo
Li, Shuyang
Song, Zhibin
Source
Applied Bionics and Biomechanics
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In upper limb rehabilitation training by exploiting robotic devices, the qualitative or quantitative assessment of human active effort is conducive to altering the robot control parameters to offer the patients appropriate assistance, which is considered an effective rehabilitation strategy termed as assist-as-needed.
Since active effort of a patient is changeable for the conscious or unconscious behavior, it is considered to be more feasible to determine the distributions of the passive resistance of the patient’s joints versus the joint angle in advance, which can be adopted to assess the active behavior of patients combined with the measurement of robotic sensors.
However, the overintensive measurements can impose a burden on patients.
Accordingly, a prediction method of shoulder joint passive torque based on a Backpropagation neural network (BPANN) was proposed in the present study to expand the passive torque distribution of the shoulder joint of a patient with less measurement data.
The experiments recruiting three adult male subjects were conducted, and the results revealed that the BPANN exhibits high prediction accurate for each direction shoulder passive torque.
The results revealed that the BPANN can learn the nonlinear relationship between the passive torque and the position of the shoulder joint and can make an accurate prediction without the need to build a force distribution function in advance, making it possible to draw up an assist-as-needed strategy with high accuracy while reducing the measurement burden of patients and physiotherapists.
American Psychological Association (APA)
Li, Shuyang& Dario, Paolo& Song, Zhibin. 2020. Prediction of Passive Torque on Human Shoulder Joint Based on BPANN. Applied Bionics and Biomechanics،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1120169
Modern Language Association (MLA)
Li, Shuyang…[et al.]. Prediction of Passive Torque on Human Shoulder Joint Based on BPANN. Applied Bionics and Biomechanics No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1120169
American Medical Association (AMA)
Li, Shuyang& Dario, Paolo& Song, Zhibin. Prediction of Passive Torque on Human Shoulder Joint Based on BPANN. Applied Bionics and Biomechanics. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1120169
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120169