Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Oct 29;21(21):7217.
doi: 10.3390/s21217217.

A Study of Biofeedback Gait Training in Cerebral Stroke Patients in the Early Recovery Phase with Stance Phase as Target Parameter

Affiliations

A Study of Biofeedback Gait Training in Cerebral Stroke Patients in the Early Recovery Phase with Stance Phase as Target Parameter

Dmitry V Skvortsov et al. Sensors (Basel). .

Abstract

Walking function disorders are typical for patients after cerebral stroke. Biofeedback technology (BFB) is currently considered effective and promising for training walking function, including in patients after cerebral stroke. Most studies recognize that BFB training is a promising tool for improving walking function; however, the data on the use of highly selective walking parameters for BFB training are very limited. The aim of our study was to investigate the feasibility of using BFB training targeting one of the basic parameters of gait symmetry-stance phase duration-in cerebral stroke patients in the early recovery period. The study included 20 hemiparetic patients in the early recovery period after the first hemispheric ischemic stroke. The control group included 20 healthy subjects. The BFB training and biomechanical analysis of walking (before and after all BFB sessions) were done using an inertial system. The mean number of BFB sessions was nine (from 8 to 11) during the three weeks in clinic. There was not a single negative response to BFB training among the study patients, either during the sessions or later. The spatiotemporal parameters of walking showed the whole syndrome complex of slow walking and typical asymmetry of temporal walking parameters, and did not change significantly as a result of the study therapy. The changes were more significant for the functioning of hip and knee joints. The contralateral hip amplitude returned to the normal range. For the knee joint, the amplitude of the first flexion increased and the value of the amplitude of hyperextension decreased in the middle of the stance phase. Concerning muscle function, the observed significant decrease in the function of m. Gastrocnemius and the hamstring muscles on the paretic side remained without change at the end of the treatment course. We obtained positive dynamics of the biomechanical parameters of walking in patients after the BFB training course. The feasibility and efficacy of their use for targeted correction need further research.

Keywords: biofeedback gait training; early recovery phase; gait analysis; stroke.

PubMed Disclaimer

Conflict of interest statement

The authors do not have any conflicts of interest to declare.

Figures

Figure 1
Figure 1
The patient during recording of the biomechanical parameters of walking. Inertial sensors were fixed on body segments (pelvis, hips, legs, feet). EMG electrodes were connected to the sensors on the thigh and shin, which were fixed on the corresponding muscles.
Figure 2
Figure 2
Training process. The patient is on a treadmill. Inertial sensors are installed on his shins to register gait parameters. Before him is a screen with a virtual task.

References

    1. Chamorro-Moriana G., Moreno A.J., Sevillano H. Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review. Sensors. 2018;18:142. doi: 10.3390/s18010142. - DOI - PMC - PubMed
    1. Gordt K., Gerhardy T., Najafi B., Schwenk M. Effects of Wearable Sensor-Based Balance and Gait Training on Balance, Gait, and Functional Performance in Healthy and Patient Populations: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Gerontology. 2018;64:74–89. doi: 10.1159/000481454. - DOI - PubMed
    1. Spencer J., Wolf S.L., Kesar T.M. Biofeedback for Post-stroke Gait Retraining: A Review of Current Evidence and Future Research Directions in the Context of Emerging Technologies. Front. Neurol. 2021;12:637199. doi: 10.3389/fneur.2021.637199. - DOI - PMC - PubMed
    1. Ma C.Z., Zheng Y.P., Lee W.C. Changes in gait and plantar foot loading upon using vibrotactile wearable biofeedback system in patients with stroke. Top. Stroke Rehabil. 2018;25:20–27. doi: 10.1080/10749357.2017.1380339. - DOI - PubMed
    1. Jørgensen H.S., Nakayama H., Raaschou H.O., Olsen T.S. Recovery of walking function in stroke patients: The Copenhagen stroke study. Arch. Phys. Med. Rehabil. 1995;76:27–32. doi: 10.1016/S0003-9993(95)80038-7. - DOI - PubMed