Bipedal gait model for precise gait recognition and optimal triggering in foot drop stimulator: a proof of concept

Sensing and Control Strategies Used in FES Systems Aimed at Assistance and Rehabilitation of Foot Drop: A Systematic Literature Review

Functional electrical stimulation (FES) is a rehabilitation and assistive technique used for stroke survivors. FES systems mainly consist of sensors, a control algorithm, and a stimulation unit. However, there is a critical need to reassess sensing and control techniques in FES systems to enhance their efficiency. This SLR was carried out following the PRISMA 2020 statement. Four databases (PubMed, Scopus, Web of Science, Wiley Online Library) from 2010 to 2024 were searched using terms related to sensing and control strategies in FES systems. A total of 322 articles were chosen in the first stage, while only 60 of them remained after the final filtering stage. This systematic review mainly focused on sensor techniques and control strategies to deliver FES. The most commonly used sensors reported were inertial measurement units (IMUs), 45% (27); biopotential electrodes, 36.7% (22); vision-based systems, 18.3% (11); and switches, 18.3% (11). The control strategy most reported is closed-loop; however, most of the current commercial FES systems employ open-loop strategies due to their simplicity. Three main factors were identified that should be considered when choosing a sensor for gait-oriented FES systems: wearability, accuracy, and affordability. We believe that the combination of computer vision systems with artificial intelligence-based control algorithms can contribute to the development of minimally invasive and personalized FES systems for the gait rehabilitation of patients with FDS.

Efficacy and safety of acupuncture in the treatment of foot drop in post-stroke: A protocol for systematic review and meta-analysis

BACKGROUND

Foot drop is a common complication in post-stroke. Patients with foot drop are at high risk for falls and fall-related injuries. Accordingly, it can reduce independence and quality of life in patients. Clinical studies have confirmed that acupuncture is effective in treating foot drop in post-stroke. However, there is a lack of systematic review exploring the efficacy and safety of acupuncture treatment. This study aims to assess the efficacy and safety of acupuncture in the treatment of foot drop in poststroke from the results of randomized controlled trials.

METHODS

We will search articles in 8 electronic databases including the Cochrane Central Register of Controlled Trials, the Web of Science, PubMed, Embase, the China National Knowledge Infrastructure, the Chinese Biomedical Literature Database, Wanfang Data Database, and the Chinese Scientific Journal Database for RCTs of acupuncture treated foot drop in post-stroke from their inception to 10 August 2022. We will analyze the data meeting the inclusion criteria with the RevMan V.5.4 software. Two authors will assess the quality of the study with the Cochrane collaborative risk bias tool. We will evaluate the certainty of the estimated evidence with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) method. Data analysis will be performed using STATA 16.0.

RESULTS

This study will review and evaluate the available evidence for the treatment of foot drop in post-stroke using acupuncture.

CONCLUSION SUBSECTIONS

This study will determine the efficacy and safety of acupuncture applied to post-stroke individuals with foot drop.

Changes in Gait Characteristics of Stroke Patients with Foot Drop after the Combination Treatment of Foot Drop Stimulator and Moving Treadmill Training

Objective

To study the changes in gait characteristics of stroke patients with foot drop after the combination treatment of foot drop stimulator and moving treadmill training and thus provide a basis for the improvement in a foot drop gait after stroke.

Methods

Sixty patients with hemiplegia and foot drop caused by stroke were randomly divided into two groups of 30: the test group and the control group. Both groups received basic rehabilitation training. On this basis, the test group received the combination treatment of foot drop stimulator and moving treadmill training. The control group received foot drop stimulator training. Both groups received consecutive treatment for 3 weeks, five times a week, and every single time lasted for 30 minutes. Before and after the treatment, a gait watch three-dimensional gait analysis system was used to measure and record the maximum angles of flexion of the affected side's hip, knee, and ankle; the pace; the step length asymmetry; the iEMG of the tibialis anterior muscle; the functional ambulation category; and Ashworth's modified spasticity classification of the gastrocnemius.

Results

After treatment, in the two groups, the maximum angles of flexion of the affected side's hip, knee, and ankle improved, the pace increased, the step length asymmetry decreased, the iEMG of the tibialis anterior muscle increased, the functional ambulation category improved, and Ashworth's modified spasticity classification of the gastrocnemius decreased, but the above changes in the test group were better than those in the control group. The difference is statistically significant (p < 0.05).

Conclusions

The combination treatment of the foot drop stimulator and moving treadmill can significantly improve stroke patients' foot gait and promote the normalization of hip flexion, knee flexion, and ankle flexion. It can increase the pace, significantly reduce the step length asymmetry, reduce the muscle tone of the gastrocnemius, and improve walking function.

Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks

This paper reports the kinematic, kinetic and electromyographic (EMG) dataset of human locomotion during level walking at different velocities, toe- and heel-walking, stairs ascending and descending. A sample of 50 healthy subjects, with an age between 6 and 72 years, is included. For each task, both raw data and computed variables are reported including: the 3D coordinates of external markers, the joint angles of lower limb in the sagittal, transversal and horizontal anatomical planes, the ground reaction forces and torques, the center of pressure, the lower limb joint mechanical moments and power, the displacement of the whole body center of mass, and the surface EMG signals of the main lower limb muscles. The data reported in the present study, acquired from subjects with different ages, represents a valuable dataset useful for future studies on locomotor function in humans, particularly as normative reference to analyze pathological gait, to test the performance of simulation models of bipedal locomotion, and to develop control algorithms for bipedal robots or active lower limb exoskeletons for rehabilitation.