In response to the problem that the traditional lower limb rehabilitation scale assessment method is time-consuming and difficult to use in exoskeleton rehabilitation training, this paper proposes a quantitative assessment method for lower limb walking ability based on lower limb exoskeleton robot training with multimodal synergistic information fusion. The method significantly improves the efficiency and reliability of the rehabilitation assessment process by introducing quantitative synergistic indicators fusing electrophysiological and kinematic level information. First, electromyographic and kinematic data of the lower extremity were collected from subjects trained to walk wearing an exoskeleton. Then, based on muscle synergy theory, a synergistic quantification algorithm was used to construct synergistic index features of electromyography and kinematics. Finally, the electrophysiological and kinematic level information was fused to build a modal feature fusion model and output the lower limb motor function score. The experimental results showed that the correlation coefficients of the constructed synergistic features of electromyography and kinematics with the clinical scale were 0.799 and 0.825, respectively. The results of the fused synergistic features in the K-nearest neighbor (KNN) model yielded higher correlation coefficients (r = 0.921, P < 0.01). This method can modify the rehabilitation training mode of the exoskeleton robot according to the assessment results, which provides a basis for the synchronized assessment-training mode of “human in the loop” and provides a potential method for remote rehabilitation training and assessment of the lower extremity.
Objective To construct the expert consensus on comprehensive rehabilitation assessment system for the elderly in the hospital and community. MethodsMedline, Embase, Cochrane Library, China National Knowledge Infrastructure and VIP databases were searched for geriatric rehabilitation assessment materials from June 2016 to June 2021. The primary items were summarized through literature review and research group discussion, and then Delphi method was used among 20 experts in geriatric rehabilitation medicine to develop consensus-based core items for the elderly comprehensive rehabilitation assessment system. Results A total of 158 references were included. Through integration, sorting and screening, the research team initially formulated 41 items and four major sections including cardiopulmonary exercise, sensory perception, cognition and psychology (speech contained), and swallowing, urination and defecation. The effective recovery rates of the two rounds of experts consultation were both 100%, the mean expert authority coefficient was 0.92±0.05, the variation coefficients were 0.174±0.043 and 0.172±0.063, respectively; the Kendall coefficients of concordance were 0.587 and 0.601, with P values<0.05 for both, respectively. Finally, The comprehensive rehabilitation assessment system for the elderly including 16 items would be formed. Conclusion The expert consensus on comprehensive rehabilitation assessment system for the elderly constructed by Delphi method includes motor, sensory perception, cognition, swallowing, speech, cardiopulmonary, defecation, mental and psychological elements, which are identified with high recognition and consistency from experts.