Abnormal ECG Findings in Athletes: Clinical Evaluation and Considerations.

PURPOSE OF REVIEW: Pre-participation cardiovascular evaluation with electrocardiography is normal practice for most sporting bodies. Awareness about sudden cardiac death in athletes and recognizing how screening can help identify vulnerable athletes have empowered different sporting disciplines to invest in the wellbeing of their athletes. RECENT FINDINGS: Discerning physiological electrical alterations due to athletic training from those representing cardiac pathology may be challenging. The mode of investigation of affected athletes is dependent on the electrical anomaly and the disease(s) in question. This review will highlight specific pathological ECG patterns that warrant assessment and surveillance, together with an in-depth review of the recommended algorithm for evaluation

Extraction of ECG Significant Features for Remote CVD Monitoring

Remote healthcare monitoring for Cardiovascular Diseases (CVD) in the present lifestyle is of the utmost importance throughout the world because of high mortality rate, around 30% of deaths all over the world are due to the CVD as per the World Health Organization (WHO) statistics. With the advancement of medical industry and huge growth in IoT technology is gradually making the remote CVD monitoring a reality. During the real-time Electrocardiography (ECG) acquisition, proper detection of individual ECG beats, and the extraction of essential features from each ECG beat is crucial to automate the diagnosis process of CVD remotely. Therefore, it is necessary to explore various techniques for the detection of CVD and the complexity involved in it. This chapter does the review and covers various methods to process the ECG signal and focuses on the low complexity algorithms to extract the significant clinical features of ECG