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1.
Neuro Endocrinol Lett ; 43(1): 9-17, 2022 Apr.
Article in English | MEDLINE | ID: mdl-35786805

ABSTRACT

OBJECTIVE: The aim of this research was to investigate the prevention, diagnosis, and treatment of patients after COVID-19 with the possibility of using artificial intelligence and virtual reality in combination with traditional approaches to patient rehabilitation. MATERIALS AND METHODS: Statistical methods were used to evaluate the situation of COVID-19 worldwide and in Slovakia until March 2022. We investigated the rehabilitation options of breathing exercises, upper and lower limb rehabilitation, and cognitive tasks in patients with post-COVID syndrome who met the criteria for a combined rehabilitation program using virtual reality. Using artificial intelligence, we can predict in advance the evolution of the pandemic according to the records of infected patients and the evolution of the pandemic in the world, taking into account nearby territories. In the treatment of post-COVID syndrome, parameters have been identified that can be measured to objectively assess the improvement of the patient's condition and to continue personalizing individual rehabilitation scenarios. RESULTS: In the patients who underwent the combined rehabilitation method, we observed progress in their ability to improve breathing, limb motor skills and also cognitive function of the patients. We identified different categories of parameters that can be evaluated by artificial intelligence methods, and we evaluated different scenarios using the exterior of nature and the interior of the room of the rehabilitation method of virtual reality, as well as the key elements of the "WOW" effect creating emotional changes in the patient for their motivation. CONCLUSION: We showed that artificial intelligence and virtual reality methods have the potential to accelerate rehabilitation and increase motivation in patients with post-COVID syndrome.


Subject(s)
COVID-19 , Stroke Rehabilitation , Virtual Reality , Artificial Intelligence , COVID-19 Testing , Humans , Pandemics , Stroke Rehabilitation/methods
2.
Neuro Endocrinol Lett ; 41(4): 166-172, 2020 Oct.
Article in English | MEDLINE | ID: mdl-33307651

ABSTRACT

OBJECTIVES: The aim of the survey was to find out what the possible consequences are of the COVID-19 disease on the nervous system and to propose a method of using artificial intelligence. MATERIAL AND METHODS: Recent research has shown that the risks to patients due to severe acute coronavirus 2 respiratory syndrome (SARS-COV-2) differ most significantly depending on age and the presence of underlying comorbidities such as: cardiovascular disease, hypertension, diabetes and others. The consequences of COVID-19 on the nervous system are especially important. We performed a detailed selection of articles describing the effects of COVID-19 on the nervous system. RESULTS: We made a clear summary of the main consequences of COVID-19 on the nervous system and suggested a way to use artificial intelligence. CONCLUSION: We confirmed research that artificial intelligence methods have the potential to accelerate prediction, especially for the possible consequences of COVID-19 on the nervous system.


Subject(s)
COVID-19/complications , Nervous System Diseases/virology , Nervous System/virology , COVID-19/epidemiology , COVID-19/physiopathology , COVID-19/psychology , Cardiovascular Diseases/complications , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/physiopathology , Cardiovascular Diseases/psychology , Comorbidity , Diabetes Complications/epidemiology , Diabetes Complications/physiopathology , Diabetes Complications/psychology , Diabetes Mellitus/epidemiology , Diabetes Mellitus/physiopathology , Diabetes Mellitus/psychology , Diabetes Mellitus/virology , Humans , Hypertension/complications , Hypertension/epidemiology , Hypertension/physiopathology , Hypertension/psychology , Nervous System/physiopathology , Nervous System Diseases/epidemiology , Pandemics , SARS-CoV-2/physiology , Surveys and Questionnaires
3.
Neuro Endocrinol Lett ; 41(3): 123-133, 2020 Sep.
Article in English | MEDLINE | ID: mdl-33201645

ABSTRACT

OBJECTIVES: The aim of the research was to verify the possibilities of using virtual reality in combination with classical approaches to the rehabilitation of patients after stroke. MATERIAL AND METHODS: As part of rehabilitation, we examined the possibilities of rehabilitation of the upper, lower limbs and fine mobility of the upper limbs in a selected group of patients that met the criteria for inclusion in a combined rehabilitation program using virtual reality with a focus on testing different approaches, devices and applications. At the same time, we tried to identify quantitative and qualitative parameters that could be objectively measured and based on them to evaluate the progress of patients in rehabilitation or in personalizing individual rehabilitation scenarios. RESULTS: In patients who underwent a combined method of rehabilitation, we observed progress in the development of their ability to improve motor skills. We identified various categories of parameters that can be evaluated by artificial intelligence methods, and we also identified that the key elements in the use of virtual reality as a rehabilitation method are the so-called "WOW" effect and the creation of an emotional change in the patient that motivates him to rehabilitate. CONCLUSION: We have shown that virtual reality methods have the potential to accelerate rehabilitation and increase the motivation of selected groups of patients after stroke.


Subject(s)
Ischemic Stroke/rehabilitation , Motor Skills , Stroke Rehabilitation/methods , Virtual Reality , Brain , Humans , Motivation , Treatment Outcome
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