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Using of neural network for detection of heart rhythm disturbances from ECG data and accelerometer signal
Aleksandrenko, Borys ; Ředina, Richard (referee) ; Bulková, Veronika (advisor)
This bachelor's thesis addresses the issue of detecting heart rhythm disorders from EKG and accelerometer signals using machine learning. First, an analysis of the possibilities for detecting heart rhythm disorders from these signals was conducted through a theoretical review. In the next part, a methodology was proposed for detecting two rhythm disorders: inappropriate sinus tachycardia and chronotropic incompetence. The methodology was further supplemented with adaptive filtering of EKG signals using signals from the accelerometer. In the third part of the thesis, a database of samples was created for training machine learning models proposed in the methodology. The next section included the description and implementation of the models. In the fifth part of the thesis, an application for detecting heart rhythm disorders using the proposed methodology was developed in the Python programming language. Finally, a discussion and evaluation of the results were conducted.
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ECG data recorder
Hruškovský, Antonín ; Krajsa, Ondřej (referee) ; Burda, Karel (advisor)
The master thesis deals with the issue of long-term ECG recording, used in medicine for monitoring of cardiac anomalies. Author focuses on explaning the general concepts in the first part. Author describes measuring methods and issues associated with measuring. Comparison of existing devices and design of solution with own features are in next chapter. Next is comparison and selecting of formats for recording measured data and description of device connectivity. In next chapter author focuses on hardware design and implementation of device. After that author describes software solution design for microcontroller, Bluetooth module and smartphone. Author introduces possible improvements for future generation of the device and then describes results of testing at the end of this work.
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ECG data recorder
Hruškovský, Antonín ; Krajsa, Ondřej (referee) ; Burda, Karel (advisor)
The master thesis deals with the issue of long-term ECG recording, used in medicine for monitoring of cardiac anomalies. Author focuses on explaning the general concepts in the first part. Author describes measuring methods and issues associated with measuring. Comparison of existing devices and design of solution with own features are in next chapter. Next is comparison and selecting of formats for recording measured data and description of device connectivity. In next chapter author focuses on hardware design and implementation of device. After that author describes software solution design for microcontroller, Bluetooth module and smartphone. Author introduces possible improvements for future generation of the device and then describes results of testing at the end of this work.
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