Quantitative estimation of muscle fatigue using surface electromyography during static muscle contraction.

Muscle fatigue is commonly associated with the musculoskeletal disorder problem. Previously, various techniques were proposed to index the muscle fatigue from electromyography signal. However, quantitative measurement is still difficult to achieve.

Estimation of handgrip force using frequency-band technique during fatiguing muscle contraction.

In this paper, we propose a force estimation model to compute the handgrip force from SEMG signal during fatiguing muscle contraction tasks. The appropriate frequency range was analyzed using various combinations of a wavelet scale, and the highest accuracy was achieved at a range from 242 to 365 Hz. After that, eight healthy individuals performed a series of static (70%, 50%, 30%, and 20% MVC) and dynamic (0-50% MVC) muscle contraction tasks to evaluate the performance of this technique in comparison with that of former method using the Root Mean Square of the SEMG signal.

Simultaneous measurement of force and muscle fatigue using frequency-band wavelet analysis.

Static and dynamic handgrip experiments are performed in order to evaluate the effectiveness of utilizing frequency-band wavelet analysis in measuring force and muscle fatigue simultaneously. SEMG signals are recorded from flexor muscle and analyzed using continuous wavelet transform (CWT). The wavelet coefficients are grouped into high frequency (65Hz - 350Hz) and low frequency (5Hz - 45Hz) band.

A fMRI study of the cross-modal interaction in the brain with an adaptable EMG prosthetic hand with biofeedback.

Mutual adaptation between man and machine is necessary for the development of more efficient devices that allows easy adaptation. The interaction with intelligent machines involves adaptation processes from both the user and the machine. The human body has the ability to change its body schema to include external tools in it, using this fact we proposed the design of intelligent machines with biofeedback to the user, permitting in this way, development of subconscious control of external devices.

Study on the Effects of Electrical Stimulation on the Pattern Recognition for an EMG Prosthetic Application.

The need of biofeedback in Man-Machine interfaces is of vital importance for the development of subconscious control with external devices. In order to obtain extended proprioception, in other words, to include the external devices into the body schema, we need to provide with more feedback channels to the human body. In this study we look into the use of electrical stimulation as biofeedback and its effects over the pattern recognition process from the EMG signals that controls the hand movements.

New shape memory alloy actuator: design and application in the prosthetic hand.

This paper describes a new SMA actuator design and its application in the prosthetic hand replacing conventional servo motors which are bulky and noisy in nature. Two one-way memory SMA wires are used in the development of the actuator. The proposed actuator consists of two 0.