scholarly journals Stroke Telerehabilitation in Calabria: A Health Technology Assessment

2022 ◽  
Vol 12 ◽  
Author(s):  
Contrada Marianna ◽  
Arcuri Francesco ◽  
Tonin Paolo ◽  
Pignolo Loris ◽  
Mazza Tiziana ◽  
...  

Introduction: Telerehabilitation (TR) is defined as a model of home service for motor and cognitive rehabilitation, ensuring continuity of care over time. TR can replace the traditional face-to-face approach as an alternative method of delivering conventional rehabilitation and applies to situations where the patient is unable to reach rehabilitation facilities or for low-income countries where outcomes are particularly poor. For this reason, in this study, we sought to demonstrate the feasibility and utility of a well-known TR intervention on post-stroke patients living in one of the poorest indebted regions of Italy, where the delivery of rehabilitation services is inconsistent and not uniform.Materials and Methods: Nineteen patients (13 male/6 female; mean age: 61.1 ± 8.3 years) with a diagnosis of first-ever ischemic (n = 14) or hemorrhagic stroke (n = 5), who had been admitted to the intensive rehabilitation unit (IRU) of the Institute S. Anna (Crotone, Italy), were consecutively enrolled to participate in this study. After the discharge, they continued the motor treatment remotely by means of a home-rehabilitation system. The entire TR intervention was performed (online and offline) using the Virtual Reality Rehabilitation System (VRRS) (Khymeia, Italy). All patients received intensive TR five times a week for 12 consecutive weeks (60 sessions, each session lasting about 1h).Results: We found a significant motor recovery after TR protocol as measured by the Barthel Index (BI); Fugl-Meyer motor score (FM) and Motricity Index (MI) of the hemiplegic upper limbs.Conclusions: This was the first demonstration that a well-defined virtual reality TR tool promotes motor and functional recovery in post-stroke patients living in a low-income Italian region, such as Calabria, characterized by a paucity of specialist rehabilitation services.

Author(s):  
Андрей Андреевич Трифонов ◽  
Елена Валерьевна Петрунина ◽  
Александр Алексеевич Кузьмин ◽  
Зейнаб Усама Протасова ◽  
Людмила Петровна Лазурина

В статье описана реабилитационная биотехническая система с виртуальной реальностью, позволяющая модулю нечеткого управления осуществлять биологическую обратную связь путем сопоставления стимулирующих сигналов виртуальной реальности, электроэнцефалографических сигналов и электромиосигналов. Предложена рекурсивная математическая модель планирования процедур реабилитации с использованием биологической обратной связи, основанная на понятии функций «обучения» и «забывания», позволяющая планировать сеансы тренинга и прогнозировать их результаты. Разработано аппаратное, алгоритмическое и программное обеспечение биотехничекой системы реабилитации постинсультных больных с модулем нечеткого управления экзоскелетом, позволяющее адаптировать программу реабилитации постинсультных больных с функциональным состоянием конкретного пациента. Сформирована экспериментальная группа для оценки эффективности БТС-тренинга постинсультных больных с паретичными нижними конечностями. Контрольная группа формировалась виртуально на основе статистического анализа ретроспективных стратифицированных результатов реабилитации постинсультных больных посредством биотехнической системы с робототехническим устройством без использования модуля нечеткого управления. Исследование показало, что можно изменить показатели клинического исхода у пациентов с подострым и хроническим течением инсульта после 12 сеансов БТС-тренинга. Биотехничесая система с нечетким управлением робототехническим устройством позволяет осуществлять индивидуальную стратегию реабилитации постинсультных больных (включая целенаправленную тренировку ходьбы) The article describes a biotechnical rehabilitation system with virtual reality, which allows the fuzzy control module to carry out biological feedback by comparing stimulating signals of virtual reality, electroencephalographic signals and electromyosignals. A recursive mathematical model for planning rehabilitation procedures using biofeedback is proposed, based on the concept of “learning” and “forgetting” functions, which allows planning training sessions and predicting their results. The hardware, algorithmic and software support of the biotechnical rehabilitation system for post-stroke patients with a fuzzy exoskeleton control module has been developed, which allows to adapt the rehabilitation program for post-stroke patients with the functional state of a particular patient. An experimental group was formed to assess the effectiveness of BPS training in post-stroke patients with paretic lower extremities. The control group was formed virtually on the basis of statistical analysis of retrospective stratified results of rehabilitation of post-stroke patients using a biotechnical system with a robotic device without using a fuzzy control module. The study showed that it is possible to change the indicators of clinical outcome in patients with subacute and chronic stroke after 12 sessions of BPS training. A biotechnical system with fuzzy control of a robotic device allows an individual strategy for the rehabilitation of post-stroke patients (including targeted walking training)


Author(s):  
N. Nozdryukhina ◽  
E. Kabayeva ◽  
E. Kirilyuk ◽  
K. Tushova ◽  
A. Karimov

Despite significant advances in the treatment and rehabilitation of stroke, level of post-stroke disability remains at a fairly high level. Recent innovative developments in the rehabilitation of these patients provide good results in terms of functional outcome. One of such developments is method of virtual reality (VR), which affects not only the speed and volume of regaining movement, as well as coordination, but also normalizes the psycho-emotional background, increasing the motivation of patients to improve the recovery process. This article provides a literature review of the use of the VR method in the rehabilitation of post-stroke patients, neurophysiological aspects of recovery of lost functions using this method are considered.


2021 ◽  
Vol 11 (4) ◽  
pp. 1510
Author(s):  
Charles Morizio ◽  
Maxime Billot ◽  
Jean-Christophe Daviet ◽  
Stéphane Baudry ◽  
Christophe Barbanchon ◽  
...  

People who survive a stroke are often left with long-term neurologic deficits that induce, among other impairments, balance disorders. While virtual reality (VR) is growing in popularity for postural control rehabilitation in post-stroke patients, studies on the effect of challenging virtual environments, simulating common daily situations on postural control in post-stroke patients, are scarce. This study is a first step to document the postural response of stroke patients to different challenging virtual environments. Five subacute stroke patients and fifteen age-matched healthy adults were included. All participants underwent posturographic tests in control conditions (open and closed eyes) and virtual environment without (one static condition) and with avatars (four dynamic conditions) using a head-mounted device for VR. In dynamic environments, we modulated the density of the virtual crowd (dense and light crowd) and the avoidance space with the avatars (near or far). Center of pressure velocity was collected by trial throughout randomized 30-s periods. Results showed that more challenging conditions (dynamic condition) induced greater postural disturbances in stroke patients than in healthy counterparts. Our study suggests that virtual reality environments should be adjusted in light of obtaining more or less challenging conditions.


Aphasiology ◽  
2021 ◽  
pp. 1-11
Author(s):  
Rosaria De Luca ◽  
Simona Leonardi ◽  
Giuseppa Maresca ◽  
Foti Cuzzola Marilena ◽  
Desiree Latella ◽  
...  

2018 ◽  
pp. 1377-1392
Author(s):  
Yogendra Patil ◽  
Guilherme Galdino Siqueira ◽  
Iara Brandao ◽  
Fei Hu

Stroke rehabilitation techniques have gathered an immense attention due to the addition of virtual reality environment for rehabilitation purposes. Current techniques involve ideas such as imitating various stroke rehabilitation exercises in virtual world. This makes rehabilitation process more attractive as compared to conventional methods and motivates the patient to continue the therapy. However, most of the virtual reality based stroke rehabilitation studies focus on patient performing sedentary rehabilitation exercises. In this chapter, we introduce our virtual reality based post stroke rehabilitation system that allows a post stroke patient to perform dynamic exercises. With the introduction of our system, we hope to increase post stroke patient's ability to perform their daily routine exercises independently. Our discussion in this chapter is mainly centered around collaboration of rehabilitation system with virtual reality software. We also detail the design process of our modern user interface for collecting useful data during rehabilitation. A simple experiment is carried out to validate the visibility of our system.


2019 ◽  
Vol 9 (8) ◽  
pp. 1620 ◽  
Author(s):  
Bai ◽  
Song ◽  
Li

In order to improve the convenience and practicability of home rehabilitation training for post-stroke patients, this paper presents a cloud-based upper limb rehabilitation system based on motion tracking. A 3-dimensional reachable workspace virtual game (3D-RWVG) was developed to achieve meaningful home rehabilitation training. Five movements were selected as the criteria for rehabilitation assessment. Analysis was undertaken of the upper limb performance parameters: relative surface area (RSA), mean velocity (MV), logarithm of dimensionless jerk (LJ) and logarithm of curvature (LC). A two-headed convolutional neural network (TCNN) model was established for the assessment. The experiment was carried out in the hospital. The results show that the RSA, MV, LC and LJ could reflect the upper limb motor function intuitively from the graphs. The accuracy of the TCNN models is 92.6%, 80%, 89.5%, 85.1% and 87.5%, respectively. A therapist could check patient training and assessment information through the cloud database and make a diagnosis. The system can realize home rehabilitation training and assessment without the supervision of a therapist, and has the potential to become an effective home rehabilitation system.


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