Effect of cycling exercise on motor excitability and gait abnormalities in stroke patients

El-Tamawy, Mohamed S.; Darwish, M.; Basheer, Mye A.; Reda, Abdelazim M.; Elzanaty, Mahmoud Y.; Khalifa, Heba A.

doi:10.1186/s41983-020-00236-6

Cited by 4 publications

(3 citation statements)

References 36 publications

(39 reference statements)

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“…In this experiment, the focus was on the cycling exercise, which has a lower risk of falling, smaller knee stresses, and more bending knee joints than gait exercise. The cycling exercise is suitable for the rehabilitation of stroke patients to monitor the knee joint angle and improve locomotor and cardiorespiratory functions [7] , [8] .…”

Section: Methodsmentioning

confidence: 99%

“…However, depending on the experience and subjectivity of the therapist, SIAS and FMA-LE may not be used to quantitatively and objectively evaluate the joint functions of a stroke patient [6] . Joint angle monitoring instruments enable us to evaluate joint function quantitatively and objectively in cycling exercises commonly used in the rehabilitation of stroke patients [7] , [8] . Moreover, joint angle monitoring instruments may be useful for applications in e-healthcare, athlete training, and biomechanics.…”

Section: Introductionmentioning

confidence: 99%

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Bending Angle Sensor Based on Double-Layer Capacitance Suitable for Human Joint

Goto

Sakaue

Kobayashi

et al. 2023

IEEE Open J. Eng. Med. Biol.

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Goal : To develop bending angle sensors based on double-layer capacitance for monitoring joint angles during cycling exercises. Methods : We develop a bending angle sensor based on double-layer capacitive and conducted three stretching, bending, and cycling tests to evaluate its validity. Results : We demonstrate that the bending angle sensor based on double-layer capacitance minimizes the change in the capacitance difference in the stretching test. The hysteresis and root mean square error (RMSE) compared with the optical motion capture show hysteresis: 8.0% RMSE and 3.1° in the bending test. Moreover, a cycling experiment for human joint angle measurements confirm the changes in accuracy. The RMSEs ranged from 4.7° to 7.0°, even when a human wears leggings fixed with the developed bending-angle sensor in the cycling test. Conclusion : The developed bending angle sensor provides a practical application of the quantitative and observational evaluation tool for knee joint angles.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bending Angle Sensor Based on Double-Layer Capacitance Suitable for Human Joint

Goto

Sakaue

Kobayashi

et al. 2023

IEEE Open J. Eng. Med. Biol.

View full text Add to dashboard Cite

show abstract

“…An example of physical activity with practical usage is cycling. In addition, physical activity is an essential stage of the medical treatment and rehabilitation of stroke patients [9].…”

Section: Introductionmentioning

confidence: 99%

Design and Validity of a Smart Healthcare and Control System for Electric Bikes

Avina-Bravo

Sousa

Escriba

et al. 2023

Sensors

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This paper presents the development of an electronic system that converts an electrically assisted bicycle into an intelligent health monitoring system, allowing people who are not athletic or who have a history of health issues to progressively start the physical activity by following a medical protocol (e.g., max heart rate and power output, training time). The developed system aims to monitor the health state of the rider, analyze data in real-time, and provide electric assistance, thus diminishing muscular exertion. Furthermore, such a system can recover the same physiological data used in medical centers and program it into the e-bike to track the patient’s health. System validation is conducted by replicating a standard medical protocol used in physiotherapy centers and hospitals, typically conducted in indoor conditions. However, the presented work differentiates itself by implementing this protocol in outdoor environments, which is impossible with the equipment used in medical centers. The experimental results show that the developed electronic prototypes and the algorithm effectively monitored the subject’s physiological condition. Moreover, when necessary, the system can change the training load and help the subject remain in their prescribed cardiac zone. This system allows whoever needs to follow a rehabilitation program to do so not only in their physician’s office, but whenever they want, including while commuting.

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