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A proprioceptive neuromuscular facilitation integrated robotic ankle-foot system for post stroke rehabilitation

  • Zhihao Zhou
  • , Yuan Zhou
  • , Ninghua Wang
  • , Fan Gao
  • , Kunlin Wei
  • , Qining Wang

Producción científica: Articlerevisión exhaustiva

39 Citas (Scopus)

Resumen

Ankle joint with spasticity and/or contracture can severely disable the mobility and the independence of stroke survivors. In this paper, we developed a proprioceptive neuromuscular facilitation (PNF) integrated robotic ankle-foot system for post stroke rehabilitation. The system consists of a robotic platform and a control system with graphic user interface. We employ five normal subjects to test the reliability and feasibility of the proposed system. To validate the effectiveness of the PNF integrated robotic system, we recruit five stroke patients and carry out a six-week PNF treatment. Treatment outcome was evaluated quantitatively in passive and active joint properties. The passive hysteresis loop shows that the maximum dorsiflexion angle increases from 32.9°±1.5° to 42.0°±3.2° (p=0.014) while the resistance torque decreases from 45.6 Nm±5.8 N m to 29.8 N m±4.4 N m (p=0.019). The active joint properties are improved significantly with the training score increasing from 5.7±0.9 to 8.1±0.6, and getting close to that of normal subjects (9.5±0.3). In addition, muscle strength has a rising trend as time goes on. The results demonstrate that the proposed PNF integrated robotic ankle-foot rehabilitation system is effective in improving ankle spasticity and/or contracture and is a promising solution in clinical rehabilitation.

Idioma originalEnglish
Páginas (desde-hasta)111-122
Número de páginas12
PublicaciónRobotics and Autonomous Systems
Volumen73
DOI
EstadoPublished - nov 1 2015

Nota bibliográfica

Publisher Copyright:
© 2014 Elsevier B.V. All rights reserved.

Financiación

This work was supported by the National Natural Science Foundation of China ( 61005082 , 31000456 , 31371020 , J1103602 , 61020106005 ), the Beijing Nova Program (No. Z141101001814001 ) and the PKU-Biomedical Engineering Joint Seed Grant 2014.

FinanciadoresNúmero del financiador
National Natural Science Foundation of China (NSFC)31000456, 61020106005, 61005082, J1103602, 31371020
Beijing Nova ProgramZ141101001814001

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Computer Science Applications
    • General Mathematics

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