TY - JOUR AU - Martínez-Solís, F. AU - Ramírez-Betancour, R. AU - Olmos-López, A. AU - Rodríguez-Lelis, J. M. AU - Claudio-Sánchez, A. AU - González-Contreras, B. PY - 2016/09/15 Y2 - 2024/03/29 TI - Algorithm to estimate the knee angle in normal gait: trajectory generation approach to intelligent transfemoral prosthesis JF - Revista Mexicana de Ingenieria Biomedica JA - Rev Mex Ing Biom VL - 37 IS - 3 SE - Research Articles DO - 10.17488/RMIB.37.3.7 UR - http://rmib.com.mx/index.php/rmib/article/view/94 SP - 221-233 AB - <p class="indent">&nbsp;</p><p class="indent"><span class="ec-lmr-9">This paper presents an algorithm to estimate the knee angle from hip angle and gait parameters. This algorithm uses a single</span>&nbsp;<span class="ec-lmr-9">sensor on the thigh to achieve the estimation. Hip-knee natural correlations were employed in order to analyze the gait</span>&nbsp;<span class="ec-lmr-9">flexion-extension movements in two stages: 1) when the foot is not in full contact with the floor (swing phase and heel contact); 2)</span>&nbsp;<span class="ec-lmr-9">when the whole sole makes contact with the ground (stance phase). The estimation is developed in real-time for gait movements</span>&nbsp;<span class="ec-lmr-9">and speed fluctuations do not distort the angle estimated. In addition, the simple linear regression was used to approximate the</span>&nbsp;<span class="ec-lmr-9">estimated angle to actual knee angle. The experimental results obtained from the gait studies, showed an acceptable knee angle</span>&nbsp;<span class="ec-lmr-9">approximation; the mean error estimation was 8.25</span><span class="lmsy6-">∘</span><span class="ec-lmr-9">. The major goal of this work was the development of an algorithm that can</span>&nbsp;<span class="ec-lmr-9">solve the problem of human body-intelligent transfemoral prosthesis coordination, even if there are gait speed</span>&nbsp;<span class="ec-lmr-9">fluctuations.</span></p><p class="noindent">&nbsp;</p> ER -