New Rehabilitation Assessment Method of the End-Effector Finger Rehabilitation Robot Based on Multi-Sensor Source

In the process of rehabilitation, the objectivity and the accuracy of rehabilitation assessment have an obvious impact on the follow-up training. To improve this problem, using a multi-sensor source, this paper attempts to establish a comprehensive assessment method of the finger rehabilitation effect, including three indicators of finger muscle strength, muscle fatigue degree, and range of motion. Firstly, on the basis of the fingertip pressure sensor of the End-Effector Finger Rehabilitation Robot, a mathematical model of finger muscle strength estimation was established, and the estimated muscle strength was scored using the entropy weight method. Secondly, using an sEMG signal sensor, a fatigue monitoring system was designed in the training process, and the fatigue degree was determined on the basis of the change trend of the eigenvalues of MAV and RMS. Lastly, a human–machine motion coupling model was established, and the joint range of motion acquisition and scoring model were obtained on the basis of the motor encoder. According to the above three indicators, using the AHP assessment method to establish a comprehensive rehabilitation assessment method, the effectiveness of the method was verified by experiments. This paper provides a potential new idea and method for objective, accurate, and convenient assessment of finger function rehabilitation, which is of positive significance for alleviating the burden on rehabilitation doctors and improving rehabilitation efficiency.

Rehabilitation post-COVID-19: cross-sectional observations using the Stanford Hall remote assessment tool

IntroductionThe multisystem COVID-19 can cause prolonged symptoms requiring rehabilitation. This study describes the creation of a remote COVID-19 rehabilitation assessment tool to allow timely triage, assessment and management. It hypotheses those with post-COVID-19 syndrome, potentially without laboratory confirmation and irrespective of initial disease severity, will have significant rehabilitation needs.MethodsCross-sectional study of consecutive patients referred by general practitioners (April–November 2020). Primary outcomes were presence/absence of anticipated sequelae. Binary logistic regression was used to test association between acute presentation and post-COVID-19 symptomatology.Results155 patients (n=127 men, n=28 women, median age 39 years, median 13 weeks post-illness) were assessed using the tool. Acute symptoms were most commonly shortness of breath (SOB) (74.2%), fever (73.5%), fatigue (70.3%) and cough (64.5%); and post-acutely, SOB (76.7%), fatigue (70.3%), cough (57.4%) and anxiety/mood disturbance (39.4%). Individuals with a confirmed diagnosis of COVID-19 were 69% and 63% less likely to have anxiety/mood disturbance and pain, respectively, at 3 months.ConclusionsRehabilitation assessment should be offered to all patients suffering post-COVID-19 symptoms, not only those with laboratory confirmation and considered independently from acute illness severity. This tool offers a structure for a remote assessment. Post-COVID-19 programmes should include SOB, fatigue and mood disturbance management.

Personalized rehabilitation assessment of locomotor functions in Parkinson disease using three-dimensional video analysis of motions

Parkinson disease (PD) is one of the most common neurodegenerative diseases. Its main clinical manifestation is movement disorders. The study of innovative objective methods for the diagnosis and rehabilitation of movement disorders in PD is relevant and in demand taking into account the slowly progressive course of the disease and the complex set of symptoms that subsequently forms a characteristic movement pattern. This article provides an example of a personalized rehabilitation assessment of biomechanical manifestations of the gait function of a patient with exacted diagnosis, stage 3.5 PD according to Hoehn and Yahr, by means of the method of three-dimensional motion video analysis using the Vicon Motion Capture Systems soft-hardware complex. The patient has postural and gait disorders. This method was applied after a rehabilitation course based on the activation of lifting the foot from the support surface (“back push”). Changes in the tempo and rhythm parameters of gait in a patient with PD in comparison to a healthy person were revealed: acceleration of walking pace with shortening of the length of single and double step, a decrease in the time of limb advancement, acceleration of the moment of heel rise and a decrease in walking pace. Analysis of the locomotion also revealed a decrease in the amplitude of flexion-extension in the coxofemoral joint, knee joint and tibio-tarsic on the side with more pronounced Parkinsonism. Insufficient knee flexion and hip extension, excessive dorsal flexion of the foot with insufficient plantar flexion were noted. Revealing the last features of locomotion in a particular case allows one to make a plan for a targeted personalized rehabilitation program for a given patient. Thus, the method of three-dimensional video analysis is a valuable diagnostic tool that makes it possible to objectively assess the existing violations of locomotion and identify the targets of rehabilitation.