Abstract:A commercial variable-capacitance micromachined accelerometer was validated for muscle belly radial displacement measurement. The displacement was calculated by the acceleration data being integrated twice and was compared with the results obtained simultaneously by an accurate mechanical displacement sensor based on an optical encoder. The aim of the investigation was to evaluate the accuracy and precision of an accelerometer for tensiomyography, which is a method for the detection of skeletal muscle contract… Show more
“…Since muscle fibers can be modeled as liquid filled cylinders (Gordon and Holbourn, 1948), their shortening causes an increase in diameter, which thus produces transversal pressure waves that deform muscle surface (Orizio et al, 1999). Pressure waves generated by activation of the muscle fibers can be detected at the skin surface with for instance microphones (Watakabe et al, 2001;Yoshitake et al, 2002) or accelerometers (Akataki et al, 1999;Zagar and Krizaj, 2005).…”
“…Since muscle fibers can be modeled as liquid filled cylinders (Gordon and Holbourn, 1948), their shortening causes an increase in diameter, which thus produces transversal pressure waves that deform muscle surface (Orizio et al, 1999). Pressure waves generated by activation of the muscle fibers can be detected at the skin surface with for instance microphones (Watakabe et al, 2001;Yoshitake et al, 2002) or accelerometers (Akataki et al, 1999;Zagar and Krizaj, 2005).…”
“…According to a brief review of several studies on Tensiomyography published in scientific journals, the main studies aimed the following dimensions: (i) comparison with other methods of measurement (histioquimics, [1]; electromyography, [2]; (ii) validation of the method TMG [3]; (iii) time factor, age [4]; (iv) implementation of TMG in the sports [5]; (v) understanding of the phenomenon fatigue [6,7] and; (vi) medical aspects of the implementation of TMG [8][9][10].…”
Abstract:The proprieties of a skeletal muscle were examined using the method Tensiomyography (TMG) in team sports high-level athletes who contracted a skeletal muscle injury, lesion confirmed by a magnetic resonance image (MRI). The analysis by the TMG is performed during the rehabilitation process, a non-invasive method, allowing the recording of chances in muscle following parameters: Td (time of reaction); Tc (time of contraction); Dm (maximum displacement); Tr (time of relaxation) and Ts (time of during contraction). Therefore, the aim of the study is to analyze the muscular reaction to the process of rehabilitation training.
“…In order to assess the correct operation, the signals generated were analysed in an FFT-based LabVIEW™ program. The program used a 40Hz low-pass Butterworth filter since the MMG signal energy is primarily comprised below 50Hz (Zagar & Krizaj, 2005). Figure 2 presents the assessment test equipment, a PASCO™ digital function PI-9587C connected to a mechanical wave driver SF-9324.…”
Recently, accelerometers have been used to acquire mechanomyography signals. These signals are due to muscle lateral oscillations during contraction. In this study, a sensor acquired such vibrations in three directions. A triaxial accelerometer-based sensor was constructed and tested with a controlled mechanical vibrator and subwoofer speaker (both from 10Hz up to 40Hz) during isokinetic muscle contraction (3 volunteers, 50 extensions at 300 degrees/s). With triaxial accelerometry it was possible to compute the MMG modulus signal. For normalised and average values, MMG amplitude presented strong correlation coefficients (R=0,89) with RMS and peak torque. Below 80% of normalised data, MMG amplitude and torque values (RMS and peak) seem to converge.
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