Preliminary study on robotic exercise therapy

Hisada, T.; Okuyama, N.; Komada, Satoshi; Hirai, Junji

doi:10.1109/iecon.2004.1432248

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…In this situation, Computer Aided Diagnostics of NMDs helps minimize observer bias, facilitates inter-subject comparison and aids the physicians to arrive at a more accurate diagnosis [2]- [3]. Neuromuscular facilitation mechanisms for individuals affected with NMDs must be designed considering individual's neurophysiology, motor-learning and motor development functions [4]. This work primarily focuses on two classes of NMD viz.…”

Section: Introductionmentioning

confidence: 99%

Strategy for Electromyography Based Diagnosis of Neuromuscular Diseases for Assistive Rehabilitation

Conjeti¹,

Rout²

2013

IJBB

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Assistive Rehabilitation aims at developing procedures and therapies which reinstate lost body functions for individuals with disabilities. Researchers have monitored electrophysiological activity of muscles using biofeedback obtained from Electromyogram signals collected at appropriate innervation points. In this paper, we present a comprehensive technique for detection of neuromuscular disease in a subject and a strategy for continuous therapeutic assessment using the Rehabilitation Assessment Matrix. The decision making tool has been trained using a wide spectrum of synthetic physiological data incorporating varying degrees of myopathy and neuropathy from beginning stages to acute. The statistical, spectral and cepstral features extracted from EMG have been used to train a Cascade Correlation Neural Network Classifier for disease assessment. The diagnostic yield of the classifier is 91.2% accuracy, 85.3% specificity and 91.35% sensitivity. The strategy has also been extended to include isotonic contractions in addition to static isometric contractions. This comprehensive strategy is proposed to aid physicians plan and schedule treatment procedures to maximize the therapeutic value of the rehabilitation process.

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Section: Introductionmentioning

confidence: 99%

Strategy for Electromyography Based Diagnosis of Neuromuscular Diseases for Assistive Rehabilitation

Conjeti¹,

Rout²

2013

IJBB

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“…This paper describes a manipulator with a biofeedback function that can estimate a person's joint torque and muscle activity during exercise without an EMG. Human muscle forces are estimated by applying a musculoskeletal model [6] that has been used primarily for walking analysis. Real-time joint torque and EMG sensorless muscle force estimation during exercise using the manipulator is performed, and its accuracy is evaluated by comparing with the EMG waveforms.…”

Section: Introductionmentioning

confidence: 99%

Development of a Biofeedback Therapeutic-Exercise-Supporting Manipulator

Komada

Hashimoto²,

Okuyama³

et al. 2009

IEEE Trans. Ind. Electron.

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Although much equipment for physical therapy has been developed, equipment to improve the quality of physical therapy is scarce. We propose a robotic biofeedback exercise device that can display human joint torque and muscle force during training without a problematic electromyogram (EMG). The purpose is to increase the therapeutic value by understanding a person's condition during exercise and to provide an incentive to improve performance. The manipulator supports lower limb rehabilitation in the sagittal plane. With its ability to adjust the maximum speed and the time constant, the manipulator provides simultaneous and safe isokinetic exercise for the knee and hip joints. This paper describes the estimation of the human joint torque and muscle force. The display of the joint torque and the muscle force is realized during exercise of the knee joint using the developed manipulator. The estimation of the muscle force from Crowninshield's method and Hase's method generally agrees with the EMG.

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