Classification of sit-to-stand locomotion task based on spectral analysis of waveforms generated by accelerometric transducer

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Classification of sit-to-stand locomotion task based on spectral analysis of waveforms generated by accelerometric transducer

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A new method to evaluate the ability to rise from a chair by means of the analysis of the sit-to-stand locomotion task is introduced. In particular, the method is based on the frequency analysis of the acceleration measurements supplied by a home-made transducer.

Inspec keywords: acceleration measurement; spectral analysis; accelerometers; biomechanics

Other keywords: frequency analysis; homemade transducer; accelerometric transducer; acceleration measurements; waveform spectral analysis; sit-to-stand locomotion task

Subjects: Physics of body movements; Velocity, acceleration and rotation measurement; Signal processing and detection; Velocity, acceleration and rotation measurement; Sensing devices and transducers

References

    1. 1)
      • J.M. Winters , P.E. Crago . (2000) Biomechanics and neural control of posture and movement.
    2. 2)
    3. 3)
    4. 4)
      • M.J. Mathie , A.C. Coster , N.H. Lovell , B.G. Celler . Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol. Meas. , 2 , R1 - R20
    5. 5)
      • J.M. Mathie , P.E. Crago , B.G. Celler . Detection of daily physical activities using a triaxial accelerometer. Med. Biol. Eng. Comp.
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