Monitoring of Cardiovascular Parameters During Rehabilitation After Stroke Event

Ciorap, Radu; Andriţoi, Doru; Luca, Cătălina; Corciovă, Călin

doi:10.1007/978-981-13-6207-1_17

Cited by 4 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The previously proposed WHO recommendations are most often used, providing seven stages of activity of 3 days each. Cardiac activity is enhanced by an increase in the frequency of heart beats per unit of time, that is, by an increase in pulse rate and stroke volume of the heart, which is equivalent to the amount of blood discharged into vessels following one contraction (Ciorap et al 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Rehabilitation of athletes following cardiovascular events

Паначев

Ponomarev

Ковальчук

et al. 2020

J Public Health (Berl.)

View full text Add to dashboard Cite

Aim The relevance of this study lies in the fact that cardiovascular mortality decreases in countries promoting active healthy lifestyles. The authors conducted experimental studies of the cardiovascular parameter prediction accuracy at the initial and final stages of the rehabilitation process. Subjects and methods The experiments showed sufficient accuracy of the constructed models. In particular, the maximum relative error was 11% for the simulation of the tolerable physical activity duration and 5.5% for the simulation of the exercise tolerance. The novelty of the study is that experimental studies were performed to predict the accuracy of the patient's condition at the final stage of the rehabilitation process by the assessment of exercise tolerance using bicycle ergometry test data only at the initial stage.Results The experiments showed sufficient accuracy of the constructed method. In particular, the maximum relative error of blood pressure simulation at the final stage of the rehabilitation period was 5%. The authors propose an approach to the implementation of exercise monitoring, according to which the observed pulse values are supplemented by simulated pressure values. Conclusions Experimental studies of the accuracy of the proposed approach have shown its sufficient accuracy. In particular, the maximum relative error in blood pressure simulation was 8.6%.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Rehabilitation of athletes following cardiovascular events

Паначев

Ponomarev

Ковальчук

et al. 2020

J Public Health (Berl.)

View full text Add to dashboard Cite

show abstract

“…Therefore, during the rehabilitation program, the physiotherapy IOP Publishing doi:10.1088/1757-899X/1254/1/012037 2 specialist follows an already established protocol, making changes to accommodate the patient's current state and health history. In addition, it is essential to monitor a number of the patient's vital parameters during the recovery exercises so that the patient's effort to perform the tasks does not increase the risk of another health incident [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Game-based virtual reality solution for post-stroke balance rehabilitation

Ciorap

Andriţoi

Casuţă

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

In recent years, there has been a remarkable decline in stroke-related mortality. However, it remains one of the leading causes of death and the most prominent cause of lifelong disability in adults. This positive development results from increased accessibility to various stroke treatment options. In addition, the use of virtual reality in rehabilitation offers a possible alternative to traditional methods of medical rehabilitation of the upper limbs, improving muscle strength or balance. An early diagnosis of equilibrium deficits brings an incredible contribution to recovery. Analysis tests using stabilometric platforms have begun to be used more recently due to the advantages offered. This assessment method highlights and analyzes balance disorders and determines the body's center of gravity position through several sensors or arrays of sensors that transmit information to the processing software. This work aimed to develop a low-cost, stabilometric platform that could be used to build a recovery system using virtual reality-based games. The developed platform uses an Arduino UNO microcontroller that takes data from 4 force sensors. Two applications have been created. The first one was for balance maintenance and the second for execute balance exercises in the anteroposterior and mediolateral direction.

show abstract