Clinical experimental research on adaptive robot-aided therapy control methods for upper-limb rehabilitation

Xu, Guoqing; Song, Aiguo; Pan, Lizheng; Gao, Xiang; Liang, Zhiwei; Li, Jinfei; Bao-guo, XU

doi:10.1017/s0263574713001264

Cited by 11 publications

(13 citation statements)

References 22 publications

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“…The hand search did not retrieve additional studies. Finally, 38 original studies were included[ 15 – 27 , 34 – 57 ]. Fig 1 presents the flow of studies through the review.…”

Section: Resultsmentioning

confidence: 99%

“…The duration of RT ranged from 2[ 25 ] to 20[ 57 ] weeks, and the frequency per week varied from 2[ 16 , 18 ] to 6[ 57 ] days. The time spent per session of intervention ranged from 0.2[ 40 ] to 2[ 57 ] hours. The total volume of intervention per week (i.e., number of sessions per week x duration of each session) ranged from 1[ 54 ] to 12[ 57 ] hours.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Effectiveness of robot therapy on body function and structure in people with limited upper limb function: A systematic review and meta-analysis

Ferreira¹,

Chaves²,

Oliveira³

et al. 2018

PLoS ONE

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Robot-Assisted Therapy (RT) is an innovative approach to neurological rehabilitation that uses intensive, repetitive, interactive, and individualized practice. This systematic review aimed to investigate the effectiveness of RT on the body function and structure of people with upper limb impairments (PROSPERO registration: CRD42017054982). A search strategy conducted on seven databases identified randomized controlled studies. Methodological quality was assessed using the PEDro scale. When possible, the data were pooled, the strength of evidence was assessed using the GRADE system, and the effect sizes were assessed using Cohen coefficient. Subgroup analyses investigated the impact on the estimated effects of the following parameters: methodological quality; portion of the assessed upper limb; duration of stroke; and intervention dose and duration. Thirty-eight studies involving 1174 participants were included. Pooled estimates revealed small effects of RT on motor control and medium effects on strength compared with other intervention (OI) at a short-term follow-up. Standardized differences in means were as follows: 0.3 (95% CI 0.1 to 0.4) and 0.5 (95% CI 0.2 to 0.8). Effects at other time points and on other investigated outcomes related to body function and structure were not found (p>0.05). The strength of the current evidence was usually low quality. Subgroup analyses suggested that the methodological quality, and duration and dose of RT may influence the estimated effects. In conclusion, RT has small effects on motor control and medium effects on strength in people with limited upper limb function. Poor methodological quality, and lower treatment dose and duration may impact negatively the estimated effects.

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“…The hand search did not retrieve additional studies. Finally, 38 original studies were included[ 15 – 27 , 34 – 57 ]. Fig 1 presents the flow of studies through the review.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Effectiveness of robot therapy on body function and structure in people with limited upper limb function: A systematic review and meta-analysis

Ferreira¹,

Chaves²,

Oliveira³

et al. 2018

PLoS ONE

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“…As mentioned in the studies by Tung Fai and Wilson 18 and Zhang et al, 19 the human arm's bio-impedance parameters, bio-damping, and bio-stiffness, can reflect the arm's muscle strength changes with high sensitivity. Based on our previous work in the study by Xu et al, 20 the subject arm's bio-impedance characteristic was modeled as the following linear time-variant system f e ðtÞ ¼ b e ðtÞδ _…”

Section: The Bio-impedance Parameters Identificationmentioning

confidence: 99%

A novel approach for robot-assisted upper-limb rehabilitation

Gao

Sheng

et al. 2017

International Journal of Advanced Robotic Systems

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This study presented a novel control approach for rehabilitation robotic system using the hybrid system theory and the subject's bio-damping and bio-stiffness parameters. Resistance training was selected as a paradigm. The proposed control architecture incorporated the physical therapist's behavior intervention, the stroke survivor's muscle strength changes, and the robotic device's motor control into a unified framework. The main focuses of this research were to (i) automatically monitor the subject's muscle strength changes using the online identified bio-damping/stiffness parameters; (ii) make decisions on the modification of the desired resistive force so as to coincide with the subject's muscle strength changes; and (iii) generate accommodating plans when the safety-related issues such as spasticity and the abnormal robotic working states happen during the execution of training tasks. A Barrett WAM compliant manipulator-based resistance training system and two experiments including four scenarios were developed to verify the proposed approach. Experimental results with healthy subjects showed that the hybrid system-based control architecture could administrate the subject's muscle strength changes and the robotic device's interventions in an automated and safe manner.

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“…Throughout passive training, the rehabilitation device assists subjects to passively complete the corresponding action [18]. The speed of the machine's end, the motor's output torque, the motor current from five subjects, the sEMG of biceps, the degree of muscle activation, the RMS from five subjects are shown in Figure 2 when the speed is set to 20 r/min, 35 r/min, and 50 r/min.…”

Section: Passive Training Experimentsmentioning

confidence: 99%

Study on upper limb rehabilitation system based on surface EMG

Wang

et al. 2015

BME

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Abstract. During the rehabilitation process, it is essential to accurately judge a patient's recovery in a timely manner. A reasonable and matched training program is significant in the development of rehabilitation system. This paper presents a new upper limb rehabilitation training system, which consists of an upper limb rehabilitation training device, a current detection circuit, a motor speed test circuit, a surface EMG (sEMG) sensor, and a dSPACE HIL simulation platform. The real-time output torque of the servo motor is calculated by using the motor's real-time current and speed, in order to monitor the patient's training situation. The signal of sEMG is collected in real time and is processed with root mean square (RMS) to characterize the degree of muscle activation. Based on this rehabilitation system, maximum voluntary contraction (MVC) experiments, passive training experiments under different speeds, and active training experiments under different damping are studied. The results show that this new system performs real-time and accurate monitoring of a patient's training situation. It can also assess a patient's recovery through muscle activation. To a certain extent, this system provides a platform for research and development of rehabilitation medical engineering.

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Clinical experimental research on adaptive robot-aided therapy control methods for upper-limb rehabilitation

Cited by 11 publications

References 22 publications

Effectiveness of robot therapy on body function and structure in people with limited upper limb function: A systematic review and meta-analysis

Effectiveness of robot therapy on body function and structure in people with limited upper limb function: A systematic review and meta-analysis

A novel approach for robot-assisted upper-limb rehabilitation

Study on upper limb rehabilitation system based on surface EMG

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