Jung, Suhun Bong, Jae Hwan Kim, Keri Park, Shinsuk 2024-02-07T05:12:01Z 2024-02-07T05:12:01Z 2024-02-02 2024-01 https://pubs.kist.re.kr/handle/201004/148531 This study proposes a novel gait rehabilitation method that uses a hybrid system comprising a powered ankle-foot orthosis (PAFO) and FES, and presents its coordination control. The developed system provides assistance to the ankle joint in accordance with the degree of volitional participation of patients with post-stroke hemiplegia. The PAFO adopts the desired joint angle and impedance profile obtained from biomechanical simulation. The FES patterns of the tibialis anterior and soleus muscles are derived from predetermined electromyogram patterns of healthy individuals during gait and personalized stimulation parameters. The CNN-based estimation model predicts the volitional joint torque from the electromyogram of the patient, which is used to coordinate the contributions of the PAFO and FES. The effectiveness of the developed hybrid system was tested on healthy individuals during treadmill walking with and without considering the volitional muscle activity of the individual. The results showed that consideration of the volitional muscle activity significantly lowers the energy consumption by the PAFO and FES while providing adaptively assisted ankle motion depending on the volitional muscle activities of the individual. The proposed system has potential use as an assist-as-needed rehabilitation system, where it can improve the outcome of gait rehabilitation by inducing active patient participation depending on the stage of rehabilitation. English Frontiers Research Foundation Machine-learning-based coordination of powered ankle-foot orthosis and functional electrical stimulation for gait control Article 10.3389/fbioe.2023.1272693 1 Frontiers in Bioengineering and Biotechnology, v.11 Frontiers in Bioengineering and Biotechnology 11 Y scie scopus 001147165500001 2-s2.0-85182863041 Biotechnology & Applied Microbiology Multidisciplinary Sciences Biotechnology & Applied Microbiology Science & Technology - Other Topics Article EMG SIGNALS FES WALKING TORQUE EXOSKELETON SYSTEM MODEL LIMB QUALITY-OF-LIFE gait rehabilitation machine learning volitional electromyography (EMG) powered ankle-foot orthosis (PAFO) functional electrical stimulation (FES)