User:LuigiTruppa/sandbox

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In biomechanics The recent development of inertial measurement units based on MEMS technology has allowed to use them in the biomechanics field. Indeed, this kind of IMUs results wearable, safe, not cumbersome and compatible with applications on the human body [1]. Even if the actual gold standard for human motion analysis are optoelectronic systems, IMUs shown good accuracies in monitoring both daily human activities, such as gait or sports performance [2], and outcomes of a rehabilitative process in patients with neuromuscular diseases [3]. Here again the attitude is estimated by using digital filters (i.e., Mahony, Madgwick or Kalman filters), which combine information on acceleration and angular velocities (and local magnetic field eventually) to extract the spatial location of the sensors. In this framework, it is possible to estimate the articular joint angles by locating the IMUs in correspondence of the body segments.

  1. ^ Bergamini, Elena; Ligorio, Gabriele; Summa, Aurora; Vannozzi, Giuseppe; Cappozzo, Aurelio; Sabatini, Angelo (2014). "Estimating Orientation Using Magnetic and Inertial Sensors and Different Sensor Fusion Approaches: Accuracy Assessment in Manual and Locomotion Tasks". Sensors. 14 (10): 18625–18649. doi:10.3390/s141018625. ISSN 1424-8220.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  2. ^ Claudino, João Gustavo; Cronin, John; Mezêncio, Bruno; McMaster, Daniel Travis; McGuigan, Michael; Tricoli, Valmor; Amadio, Alberto Carlos; Serrão, Julio Cerca (2017). "The countermovement jump to monitor neuromuscular status: A meta-analysis". Journal of Science and Medicine in Sport. 20 (4): 397–402. doi:10.1016/j.jsams.2016.08.011. ISSN 1440-2440.
  3. ^ Luinge, H.J.; Veltink, P.H.; Baten, C.T.M. (2007). "Ambulatory measurement of arm orientation". Journal of Biomechanics. 40 (1): 78–85. doi:10.1016/j.jbiomech.2005.11.011. ISSN 0021-9290.