Numerous medical and biomechanical applications invol-ve electromyogram (EMG) signal processing in 19 real time. Amplitude analysis of the EMG often requires computation of the signal’s linear envelope. 20 For this purpose, several methods are commonly described in the literature; however, not all match 21 the speed requirement of real-time applications. We introduce an implementation which accelerates 22 the computation of EMG signals linear envelopes, based on the pipe-line commonly found in the literature 23 for this kind of operation. The algorithm improves the computa-tion’s time requirement, at the expense of 24 memory requirement, by using the result of the envelope’s computation at the previous instant. This 25 algorithm saves approximately 96% of the computation time and allows computing linear envelopes of 26 several EMG signals in real time.

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In this study, we focus on a rehabilitation motion of
human wrist joint and aim at supporting these rehabilitation training by introducing a mechanical system. A pneumatic parallel manipulator is introduced since it can drive enough D.O.F to correspond to a wrist motion and has inherent compliance characteristics resulted from air compressibility. We propose a new training method for a muscle strengthening training based on ElectroMyoGraphy (EMG), where a payload is set between joint angle and the muscle we want to train directly. In addition, we propose a method to de-tect muscle fatigue based on a frequency analysis of EMG. The effectiveness of the proposed method is confirmed through some experiments.

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MINDWALKER is an EC FP7 funded project which aims at researching, designing and prototyping technologies for the seamless control of a lower limbs exoskeleton, relying on BNCI (Brain Neural Computer Interfaces) technologies. It promotes a non-invasive approach minimizing the cognitive load of the user for controlling the system. This paper first introduces the MINDWALKER projects, its challenges and solutions being considered. Then the paper presents a perspective of how related technologies, which primary application field deals with the rehabilitation of spinal cord injured (SCI) subjects, may be consi-dered for applications in the space domain.

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Оборонное научное агентство DARPA планирует собрать успешные технологии прототипов бионических протезов в один надежный нейроинтерфейс.

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Described herein are transducers and their fabrication. The transducers convert between mechanical and electrical energy. Some transducers of the present invention include a pre-strained polymer. The pre-strain improves the conversion between electrical and mechanical energy. The present invention provides methods for fabricating electromechanical devices including one or more electroactive polymers.

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