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|Title:||Monitoring and instrumentation system of a cycloergometer for the rehabilitation of patients|
|metadata.dc.creator:||Sergio Aldo Lechuga Ensastiga|
|Keywords:||Ingeniería y Tecnología;Ciencias Tecnológicas|
|Description:||Nowadays, fuzzy-logic systems are implemented to control machinery or processes that previously required human manipulation. The main objective of this research is to propose a controller based on fuzzy-logic that uses bio-signals for decision making. The study presents the implementation of a fuzzy-speed controller for a therapeutic machine called cycloergometer. It is used in patients who require rehabilitation therapy to improve their mobility in the lower body or to increase their relaxation or flexibility; the cycloergometer, together with the controller, is intended to be beneficial for the rehabilitation of patients. In this project, not only a fuzzy controller is developed, but also the controller membership functions are adapted to the patient using the cycloergometer. A user interface is implemented where it is possible to decide whether to work in a manual mode where the person directly manipulates the speed of the cycloergometer, or an automatic mode where it is necessary to enter the patient's health data: weight, age, height, if he has hypertension and, or diabetes; these parameters are those that adjust and determine the membership functions and in turn the controller itself. When is in automatic mode, the speed of the therapy equipment is adjusted using the heart rate of the patient. In this way, a bio-signal is used to determine whether a person is tired or relaxed. Therefore, a mechanism is obtained that is not subject to the visual criteria of the therapist. A detailed review of the literature illustrates that one of the main limitations of electroencephalography and electromyography recordings is the low signal-to-noise ratio and the fact that the signals captured at the electrodes are a mixture of sources that cannot be observed directly with non-invasive methods. Therefore, it was decided to work with electrocardiogram-based signals for better robustness of the proposed system. The controller output is a voltage signal in PWM, which is determined by the membership and error functions. The behavior of the implemented controller is validated by different experimental tests that were done with simulated tests and with patients. Finally, to determine if the project can be helpful for rehabilitation, a Likert survey was proposed for the patients to measure how viable the project is for their rehabilitation.|
|Appears in Collections:||Maestría en Ciencias (Instrumentación y Control)|
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