journal article·2025-09Open access

Upper Limb Motor Function Rehabilitation System Leveraging Pressure‐Sensitive Intent Recognition

Zhiwei Hu, Yongchao Yin, Xiaoli Yang, Hanyang Zhang, Ling Xing, Shiwu Zhang, Xinglong Gong, Ming Wu, Guolin Yun, Shuaishuai Sun

Advanced Science· Volume 12· Issue 34

Abstract

Abstract Functional electrical stimulation (FES) enhances daily living and rehabilitation outcomes for stroke patients but faces challenges in intention recognition, individual adaptability, and closed‐loop control. To address these, a reconstruction system is presented for upper limb motor function, employing highly pressure‐sensitive liquid metal magnetorheological elastomers (LMMRE) to detect muscle surface pressure. It can dynamically modulate functional electrical stimulation based on muscle force signals, enabling continuous execution of wrist movements for stroke patients. The system markedly improves patient mobility, with wrist lifting angles increased from 14° to 47°, and lifting speed nearly doubled. Clinical trials confirm the system's superior efficacy in promoting motor recovery and reducing muscle spasms. Moreover, functional near‐infrared spectroscopy highlights enhanced brain activity and promotes reconstruction of damaged neural pathways during LMMRE‐FES therapy compared with the conventional electrical stimulation. This system holds immense potential for advancing stroke rehabilitation, paving the way for portable, wearable devices optimized for home‐based care.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Stroke Rehabilitation and Recovery · Muscle activation and electromyography studies · Advanced Sensor and Energy Harvesting Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

The First Affiliated Hospital of USTC, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Institute of Humanoid Robots, Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei Anhui 230026 China

CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics University of Science and Technology of China Hefei Anhui 230026 China

The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei Anhui 230001 China

Funding

National Natural Science Foundation of China

References (52)

Show source-provided references
1. Roth G. A. · J. Am. Coll. Cardiol. · 76 · 298210.1016/j.jacc.2020.11.010 ↗
2. D. R.Lopez C. J.Thomson F. R.Mino S. R.Edgely P. P.Maitre M. M.Iversen J. A.George Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC) IEEE New York2023.
3. 10.1126/scitranslmed.aai908410.1126/scitranslmed.aai9084 ↗
4. 10.1126/sciadv.abm395210.1126/sciadv.abm3952 ↗
5. 10.1038/nrneurol.2010.20010.1038/nrneurol.2010.200 ↗
6. 10.1155/2014/92576210.1155/2014/925762 ↗
7. 10.5853/jos.2013.15.3.17410.5853/jos.2013.15.3.174 ↗
8. 10.1109/LRA.2017.266936610.1109/LRA.2017.2669366 ↗
9. 10.1186/s12984-015-0068-710.1186/s12984-015-0068-7 ↗
10. 10.1126/sciadv.abo241810.1126/sciadv.abo2418 ↗
11. Kim H. · Sci. Adv. · 2022 · 8
12. 10.1002/adfm.20240029510.1002/adfm.202400295 ↗
13. Du Q. · Chin. Sci. Bull. · 2024 · 69 · 2008
14. 10.1186/1743-0003-11-310.1186/1743-0003-11-3 ↗
15. Islam R. · Autom · 2017
16. 10.1152/jn.00670.201210.1152/jn.00670.2012 ↗
17. Hu X. L. · Robot · 2011 · 2011
18. 10.1109/TFUZZ.2016.263793410.1109/TFUZZ.2016.2637934 ↗
19. 10.1109/TIE.2020.302626710.1109/TIE.2020.3026267 ↗
20. 10.1186/s12984-021-00930-310.1186/s12984-021-00930-3 ↗
21. 10.1016/j.scib.2025.01.05210.1016/j.scib.2025.01.052 ↗
22. 10.1126/scirobotics.adn556410.1126/scirobotics.adn5564 ↗
23. 10.1126/sciadv.adj538910.1126/sciadv.adj5389 ↗
24. 10.1038/s41551-023-01095-110.1038/s41551-023-01095-1 ↗
25. 10.1038/s41467-023-42149-x10.1038/s41467-023-42149-x ↗
26. 10.1002/advs.20230476310.1002/advs.202304763 ↗
27. 10.1109/JBHI.2022.317396810.1109/JBHI.2022.3173968 ↗
28. An S. · IEEE Trans. Ind. Inform. · 20 · 155010.1109/TII.2023.3280312 ↗
29. H. K.Yap A.Mao J. C. H.Goh C. H.Yeow 6th IEEE International Conf. on Biomedical Robotics and Biomechatronics (BioRob) IEEE New York2016.
30. 10.1002/advs.20190014910.1002/advs.201900149 ↗
31. 10.1109/ACCESS.2022.314671110.1109/ACCESS.2022.3146711 ↗
32. 10.1088/1741-2552/ab0ab510.1088/1741-2552/ab0ab5 ↗
33. 10.1126/sciadv.abo139610.1126/sciadv.abo1396 ↗
34. 10.1126/scirobotics.adf575810.1126/scirobotics.adf5758 ↗
35. 10.1109/ACCESS.2019.289135010.1109/ACCESS.2019.2891350 ↗
36. 10.3390/biomimetics803032810.3390/biomimetics8030328 ↗
37. 10.3389/fnbot.2016.0000710.3389/fnbot.2016.00007 ↗
38. 10.3390/bios1207051610.3390/bios12070516 ↗
39. Xiao Z. G. · Sensors · 2019 · 19 · 457
40. 10.3389/frobt.2019.0012010.3389/frobt.2019.00120 ↗
41. 10.1002/advs.20230525110.1002/advs.202305251 ↗
42. 10.1109/JSEN.2018.284872610.1109/JSEN.2018.2848726 ↗
43. 10.1038/s41598-020-77664-010.1038/s41598-020-77664-0 ↗
44. 10.1089/soro.2020.009010.1089/soro.2020.0090 ↗
45. 10.1088/1361-665X/ac251a10.1088/1361-665X/ac251a ↗
46. 10.1016/j.matt.2020.05.02210.1016/j.matt.2020.05.022 ↗
47. 10.1021/acsapm.1c0111110.1021/acsapm.1c01111 ↗
48. 10.1038/s41467-019-09325-410.1038/s41467-019-09325-4 ↗
49. 10.1016/j.pmatsci.2019.10061710.1016/j.pmatsci.2019.100617 ↗
50. 10.1002/adma.20160352610.1002/adma.201603526 ↗
51. 10.1002/polb.2309110.1002/polb.23091 ↗
52. 10.5014/ajot.2018.02699710.5014/ajot.2018.026997 ↗