• Trupti Kulkarni
• Sudarshan
• Charusmitha C
• Kumudha G
• SK Suhas

Early detection of heart disorders is crucial for both the reduction in mortality rates and the prevention of serious cardiac problems. This study proposes a novel approach for recognizing electrocardiogram (ECG) data on LabView software as a heart attack warning indicator. The suggested method employs sophisticated signal processing techniques and algorithms to extract key components from the ECG data and classify them into normal and abnormal patterns associated with the early stages of heart attacks. A huge dataset of ECG signals from patients with different cardiac conditions was used for training and evaluation. The results of the experiments demonstrate that the proposed technique successfully and accurately detects early heart attacks, achieving a high detection rate with a low false positive rate.

ECG signals, cardiac diseases, HRV analysis, biomedical instrumentation, ECG signal components, LabVIEW

"Identification of early cardiac diseases by HRV analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.b578-b582, August-2023, Available :http://www.jetir.org/papers/JETIR2308170.pdf

"Identification of early cardiac diseases by HRV analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppb578-b582, August-2023, Available at : http://www.jetir.org/papers/JETIR2308170.pdf