System for monitoring and digital processing electrical signals from the heart to record and detect anomalies

According to the World Health Organization, cardiovascular diseases such as ischemic heart disease have become one of the leading causes of death worldwide due to the lack of early diagnosis due to not going to constant check-ups. These health problems are complicated and lead to the death of the in...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Valverde Montaño, Marilyn Stefany (author)
Fformat: bachelorThesis
Iaith:eng
Cyhoeddwyd: 2023
Pynciau:
Mynediad Ar-lein:http://repositorio.yachaytech.edu.ec/handle/123456789/589
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Disgrifiad
Crynodeb:According to the World Health Organization, cardiovascular diseases such as ischemic heart disease have become one of the leading causes of death worldwide due to the lack of early diagnosis due to not going to constant check-ups. These health problems are complicated and lead to the death of the individual. Therefore, it is essential to develop tools that allow specialists to detect these anomalies early. Hence the importance of developing low-cost devices or systems that allow the monitoring of heart signals and guarantee the acquisition, processing, visualization and storage of cardiac activity so that health professionals can give a safer and more effective diagnosis of heart disease, condition of the patient, to reduce the high rate of death caused by this heart disease. This work explains the design of a digital system to analyze cardiac signals. The project will consist of several chapters. Starting with a background of information about the importance of our project, and the objectives are set out. The second will be a bibliographic review of the anatomy of the heart and the electrocardiograph. In chapter third all the components used for the development of the system and the filtering process to eliminate signal noise will be detailed, in chapter four the results of the ECG signal obtained and filtered will be detailed. In the last chapter the results and a brief discussion of the most recent bibliography will be analyzed.