ASSISTIVE VIRTUAL REALITY SYSTEM FOR TRAINING PEOPLE WITH NEURO-MOTOR DISABILITIES AND MEDICAL PERSONNEL INVOLVED IN THEIR RECOVERY

被引:0
|
作者
Stanica, I. C. [1 ]
Dascalul, M., I [1 ]
Moldoveanu, F. [1 ]
Portelli, G. P. [2 ]
机构
[1] Univ Politehn Bucuresti, Bucharest, Romania
[2] Carol Davila Univ Med & Pharm, Bucharest, Romania
关键词
Neurorehabilitation; virtual reality; assistive technology; neuro-motor disability; training;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
According to the World Health Organization, the number of people suffering from neurological conditions is constantly increasing. Unfortunately, not only elder people face these issues. Neurorehabilitation is an elaborate medical specialty, which has the goal of helping people who suffer from neurological disorders recover their lost capabilities. Restoring limb control, walking, or balance are needed to assure motoric independence, while speech and psychological therapy are essential for an efficient neurorehabilitation process. However, neurorehabilitation training can become extremely costly and its accessibility might be restrained, giving the fact that existing therapists are often insufficient for the increasing number of sufferers. Furthermore, therapy expenses are usually free of charge only for a limited time period, while neurological conditions need an intensive, durable process of rehabilitation in order to show significant improvements. Individuals who see their life changing dramatically after suffering the neurological condition need to be trained and educated constantly in order to see an amelioration in their quality of life. Therefore cheaper, more accessible and flexible assistive solutions are needed. Over the past years, technology has started to play a significant role in the development of medical devices and therapies. Virtual reality, an emerging technology which has the capacity of reproducing a great variety of real-life environments and situations, is gaining more and more ground and is proven to be successful even for neurorehabilitation. We propose an innovative concept of an assistive device for neurorehabilitation training, which combines various technologies such as virtual environments, head-mounted devices, movement tracking, biosensors, emotion recognition and stress control. The system focuses on the creation of various virtual scenes where patients can relearn their lost capacities or retrain specific motions by accomplishing different training exercises. The system concentrates on four essential neurological conditions: stroke, multiple sclerosis, Parkinson's disease and trauma of the central nervous system. Two subsystems are included: one for educating patients with neurological conditions and a second one for training medical therapists involved in the neurorehabilitation process. The main goal is to create a highly modularized system, which can be easily extended with a larger variety of exercises, suitable for a wide range of neurological conditions. We claim that our system would be suitable both for training people with neuro-motor disabilities, but also medical personnel involved in their recovery and medical students who learn recovery techniques.
引用
收藏
页码:6427 / 6435
页数:9
相关论文
共 50 条
  • [21] Training road crossing skills for young people with intellectual disabilities using virtual reality - A feasibility study
    Cherix, Robin
    Carrino, Francesco
    Pierart, Genevieve
    Abou Khaled, Omar
    Mugellini, Elena
    Wunderle, Dominique
    [J]. IHM'19: PROCEEDINGS OF THE 31ST CONFERENCE ON L'INTERACTION HOMME-MACHINE, 2019,
  • [22] Analyzing Visual Attention of People with Intellectual Disabilities during Virtual Reality-Based Job Training
    Hong, Sungjin
    Shin, Heesook
    Gil, Younhee
    Jo, Junghee
    [J]. ELECTRONICS, 2021, 10 (14)
  • [23] A Training System of Orientation and Mobility for Blind People Using Acoustic Virtual Reality
    Seki, Yoshikazu
    Sato, Tetsuji
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2011, 19 (01) : 95 - 104
  • [24] Motor Indicators for the Assessment of Frozen Shoulder Rehabilitation via a Virtual Reality Training System
    Lee, Si-Huei
    Yeh, Shih-Ching
    Cui, Jianjun
    Chung, Chia-Ru
    Yeh, Chang-Hsin
    Liu, Lizheng
    [J]. ELECTRONICS, 2021, 10 (06) : 1 - 14
  • [25] Novel virtual reality based training system for fine motor skills: Towards developing a robotic surgery training system
    Vasudevan, Madhan Kumar
    Isaac, Joseph H. R.
    Sadanand, Venkatraman
    Muniyandi, Manivannan
    [J]. INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, 2020, 16 (06): : 1 - 14
  • [26] VIRTUAL REALITY TRAINING IN UPPER LIMB RECOVERY OF MOTOR FUNCTIONS AFTER STROKE: A RANDONISE CONTROL STUDY
    Gbiri, C. A. O.
    Tella, B. A.
    Adeyemi, O. O.
    Akinwuntan, A. E.
    [J]. INTERNATIONAL JOURNAL OF STROKE, 2016, 11 (SUPP 3) : 237 - 237
  • [27] Combined rTMS and virtual reality brain-computer interface training for motor recovery after stroke
    Johnson, N. N.
    Carey, J.
    Edelman, B. J.
    Doud, A.
    Grande, A.
    Lakshminarayan, K.
    He, B.
    [J]. JOURNAL OF NEURAL ENGINEERING, 2018, 15 (01)
  • [28] Brain-Computer Virtual Reality Interface System for Brainwave Analysis in Medical Recovery
    Besnea , Florina-Luminita
    Resceanu, Ionut-Cristian
    Trasculescu, Andrei Costin
    Pana, Cristina Floriana
    Cismaru, Stefan Irinel
    Hamdan, Hani
    Bizdoaca, Nicu George
    [J]. 2021 22ND INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2021, : 25 - 28
  • [29] Design and implementation of a virtual reality system and its application to training medical first responders
    Stansfield, S
    Shawver, D
    Sobel, A
    Prasad, M
    Tapia, L
    [J]. PRESENCE-TELEOPERATORS AND VIRTUAL ENVIRONMENTS, 2000, 9 (06) : 524 - 556
  • [30] A Surgical Training System for Four Medical Punctures Based on Virtual Reality and Haptic Feedback
    Wang, Ronghai
    Yao, Junfeng
    Wang, Lin
    Liu, Xiaohan
    Wang, Hongwei
    Zheng, Liling
    [J]. 2017 IEEE SYMPOSIUM ON 3D USER INTERFACES (3DUI), 2017, : 215 - 216