scholarly journals Design of a Game-Based Rehabilitation System Using Kinect Sensor

2019 ◽  
Author(s):  
Venketesh N. Dubey ◽  
Soumya K. Manna
Keyword(s):  
Recovery Process ◽  
Joint Torque ◽  
Stroke Patients ◽  
Rehabilitation Process ◽  
Rehabilitation System ◽  
Voice Control ◽  
Interactive Nature ◽  
Joint Parameters ◽  
Game Therapy ◽  
Joint Velocity

As technological innovation is fused into the rehabilitation process, it gives conventional therapy a new direction with the products of interactive nature and easy to measure techniques. In the recent years, virtual reality based game therapy has turned out to be a promising option for post-stroke patients since it engages patients with fun based exercises during rehabilitation process. It also triggers their neuro-motor functions and accelerates the recovery process. Nevertheless it is necessary to extract some valuable information from the joint movements to measure the recovery condition of patients. Most of the designed games have introduced features to make them interesting as well as challenging for patients, however, only a few measure the joint parameters. We have designed a Kinect based game in Unity3D platform where patients can play game by moving their joints which results in different orthopaedic lessons required for rehabilitation therapy. In contrast to many Kinect based games where only joint movements are considered for playing the game, we have also introduced voice control through speech recognition and feedback provided in terms of audio-visual command to enhance patient’s engagement. Different joint parameters such as trajectory, range of motion, joint velocity, acceleration, reaching time and joint torque are also measured to help quantify the heath condition.

Robotic Assistive System

2016 ◽  
pp. 444-477
Author(s):  
Ku Nurhanim Ku Abdul Rahim ◽  
I. Elamvazuthi ◽  
P. Vasant ◽  
T. Ganesan
Keyword(s):  
Voluntary Movement ◽  
Daily Life ◽  
Recovery Process ◽  
Joint Torque ◽  
Stroke Patients ◽  
Major Drawback ◽  
Artificial Intelligent ◽  
Natural Movement ◽  
Training Exercises

Stroke is the leading cause of disability that influences the quality of people's daily life. As such, an effective method is required for post-stroke rehabilitation. Research has shown that a robot is a good rehabilitation alternative where conventional robotic assistive system is encoded program by the robot expertise. The major drawback of this approach is that the lack of voluntary movement of the patient may affect the proficiency of the recovery process. Ideally, the robotic assistive system should recognize the intended movement and assist the patient to perform and make the training exercises more effective for recovery process. The electromyography based robotics assistive technology would enable the stroke patients to control the robot movement, according to the user's own strength of natural movement. This chapter briefly discusses the establishment of mathematical models based on artificial intelligent techniques that maps the surface electromyography (sEMG) signals to estimated joint torque of elbow for robotic assistive system.

Robotic Assistive System

2020 ◽  
pp. 1688-1720
Author(s):  
Ku Nurhanim Ku Abdul Rahim ◽  
I. Elamvazuthi ◽  
P. Vasant ◽  
T. Ganesan
Keyword(s):  
Voluntary Movement ◽  
Daily Life ◽  
Recovery Process ◽  
Joint Torque ◽  
Stroke Patients ◽  
Major Drawback ◽  
Artificial Intelligent ◽  
Natural Movement ◽  
Training Exercises

Stroke is the leading cause of disability that influences the quality of people's daily life. As such, an effective method is required for post-stroke rehabilitation. Research has shown that a robot is a good rehabilitation alternative where conventional robotic assistive system is encoded program by the robot expertise. The major drawback of this approach is that the lack of voluntary movement of the patient may affect the proficiency of the recovery process. Ideally, the robotic assistive system should recognize the intended movement and assist the patient to perform and make the training exercises more effective for recovery process. The electromyography based robotics assistive technology would enable the stroke patients to control the robot movement, according to the user's own strength of natural movement. This chapter briefly discusses the establishment of mathematical models based on artificial intelligent techniques that maps the surface electromyography (sEMG) signals to estimated joint torque of elbow for robotic assistive system.

Method of virtual reality for early comprehensive rehabilitation of patients with acute stroke

2020 ◽  
pp. 39-45
Author(s):  
N. Nozdryukhina ◽  
E. Kabayeva ◽  
E. Kirilyuk ◽  
K. Tushova ◽  
A. Karimov
Keyword(s):  
Virtual Reality ◽  
Literature Review ◽  
Acute Stroke ◽  
Functional Outcome ◽  
Recovery Process ◽  
Stroke Patients ◽  
Post Stroke ◽  
Stroke Disability ◽  
Comprehensive Rehabilitation ◽  
High Level

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.

scholarly journals Actigraphic Measurement of the Upper Limbs for the Prediction of Ischemic Stroke Prognosis: An Observational Study

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2479
Author(s):  
Giuseppe Reale ◽  
Silvia Giovannini ◽  
Chiara Iacovelli ◽  
Stefano Filippo Castiglia ◽  
Pietro Picerno ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Observational Study ◽  
Acute Ischemic Stroke ◽  
Acute Phase ◽  
Stroke Unit ◽  
Prognostic Model ◽  
Recovery Process ◽  
Motor Deficits ◽  
Stroke Patients ◽  
Movement Asymmetry

Background: It is often challenging to formulate a reliable prognosis for patients with acute ischemic stroke. The most accepted prognostic factors may not be sufficient to predict the recovery process. In this view, describing the evolution of motor deficits over time via sensors might be useful for strengthening the prognostic model. Our aim was to assess whether an actigraphic-based parameter (Asymmetry Rate Index for the 24 h period (AR2_24 h)) obtained in the acute stroke phase could be a predictor of a 90 d prognosis. Methods: In this observational study, we recorded and analyzed the 24 h upper limb movement asymmetry of 20 consecutive patients with acute ischemic stroke during their stay in a stroke unit. We recorded the motor activity of both arms using two programmable actigraphic systems positioned on patients’ wrists. We clinically evaluated the stroke patients by NIHSS in the acute phase and then assessed them across 90 days using the modified Rankin Scale (mRS). Results: We found that the AR2_24 h parameter positively correlates with the 90 d mRS (r = 0.69, p < 0.001). Moreover, we found that an AR2_24 h > 32% predicts a poorer outcome (90 d mRS > 2), with sensitivity = 100% and specificity = 89%. Conclusions: Sensor-based parameters might provide useful information for predicting ischemic stroke prognosis in the acute phase.

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 ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Low Income ◽  
Cognitive Rehabilitation ◽  
Low Income Countries ◽  
Rehabilitation Services ◽  
Stroke Patients ◽  
Post Stroke ◽  
Home Service ◽  
Rehabilitation System ◽  
Specialist Rehabilitation

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.

scholarly journals Rehabilitation Methods after Surgical Treatment of the Static Foot Deformities

2017 ◽  
Vol 10 (1) ◽  
pp. 54-63
Author(s):  
Denis Vladimirovich Ilchenko ◽  
Andrey Aslanovich Kardanov ◽  
Aleksandr Sergeevich Karandin ◽  
Andrey Vadimovich Korolev
Keyword(s):  
Surgical Treatment ◽  
Manual Therapy ◽  
Physical Training ◽  
Contemporary Literature ◽  
Recovery Process ◽  
Complete Recovery ◽  
Foot Deformities ◽  
Rehabilitation Process ◽  
Operative Recovery

Background The issue of rehabilitation after surgical treatment of the foot deformities is not sufficiently covered in the contemporary literature. In spite of diversity of certain approaches used in the rehabilitation process, there is no consistency in their application. In addition, there is no consensus on the effectiveness of various techniques, on the quantity and quality of the procedures and the timing of their introduction in the rehabilitation process. The objective of this article is to analyze the effectiveness of the techniques used in the rehabilitation of patients after surgical treatment of the foot deformities. Methods The article describes methods that are, in our opinion, the most effective and well-established in the post-operative recovery of patients. The  principles of complex usage of conservative treatment methods, including lymph drainage massage, manual therapy and therapeutic physical training, are covered. Results The introduction of the protocols we have developed in the rehabilitation of patients after surgical treatment of the foot deformities helped to organize the recovery process, to clarify the timing of rehabilitation measures, to improve the final result of treatment. Conclusions The use of pathogenetically justified methods of rehabilitation, which include massage, manual therapy and therapeutic physical training, promotes the most rapid and complete recovery of motor functions in patients after surgical treatment of the foot deformities.  

Wireless Multi-Sensor Integration for ACL Rehabilitation Using Biofeedback Mechanism

2012 ◽  
Author(s):  
S. M. N. Arosha Senanayake ◽  
Owais Ahmed Malik ◽  
Mohammad Iskandar
Keyword(s):  
Clinical Decision Making ◽  
Human Subjects ◽  
Cruciate Ligament ◽  
Clinical Stage ◽  
Recovery Process ◽  
Clinical Decision ◽  
Rehabilitation Process ◽  
Acl Rehabilitation ◽  
Anterior Cruciate ◽  
Analysis System

The objective of this study is to propose an integrated motion analysis system for monitoring and assisting the rehabilitation process for athletes based on biofeedback mechanism, particularly for human subjects already undergone Anterior Cruciate Ligament (ACL) injury operations and thus about to start the rehabilitation process. For this purpose, different types of parameters (kinematics and neuromuscular signals) from multi-sensors integration are combined to analyze the motion of affected athletes. Signals acquired from sensors are pre-processed in order to prepare the pattern set for intelligent algorithms to be integrated for possible implementation of effective assistive rehabilitation processing tools for athletes and sports orthopedic surgeons. Based on the characteristics of different signals invoked during the rehabilitation process, two different intelligent approaches (Elman RNN and Fuzzy Logic) have been tested. The newly introduced integrated multi-sensors approach will assist in identifying the clinical stage of the recovery process of athletes after ACL repair and will facilitate clinical decision-making during the rehabilitation process. The use of wearable wireless miniature sensors will provide an un-obstructive assessment of the kinematics and neuromuscular changes occurring after ACL reconstruction in an athlete.

Haptic based gait rehabilitation system for stroke patients

2016 ◽  
Author(s):  
Muhammad Raheel Afzal ◽  
Sanghun Pyo ◽  
Min-Kyun Oh ◽  
Young Sook Park ◽  
Beom-Chan Lee ◽  
...  
Keyword(s):  
Gait Rehabilitation ◽  
Stroke Patients ◽  
Rehabilitation System

Collaboration of Rehabilitation Robot With Virtual Reality Development Engine

2018 ◽  
pp. 1377-1392
Author(s):  
Yogendra Patil ◽  
Guilherme Galdino Siqueira ◽  
Iara Brandao ◽  
Fei Hu
Keyword(s):  
Virtual Reality ◽  
User Interface ◽  
Design Process ◽  
Stroke Rehabilitation ◽  
Daily Routine ◽  
Rehabilitation Robot ◽  
Rehabilitation Process ◽  
Post Stroke ◽  
Rehabilitation System ◽  
Rehabilitation Exercises

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.

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