Open AccessImplementation of the pulse rhythmic rate for the efficient diagnosing of the heartbeat
Author(s) -
Kumar Visvam Devadoss Ambeth,
Subramanian Malathi,
Gopalakrishnan Gokul,
Vengatesan Krishnasamy,
Elangovan Durai,
Chitra Balakrishnan
Publication year - 2019
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2018.5043
Subject(s) - heartbeat , photoplethysmogram , computer science , rhythm , waveform , wearable computer , smartwatch , artificial intelligence , feature extraction , pattern recognition (psychology) , real time computing , pulse (music) , beat (acoustics) , feature (linguistics) , wearable technology , computer vision , medicine , embedded system , acoustics , computer security , telecommunications , radar , linguistics , physics , philosophy , filter (signal processing) , detector
The mortality rate has risen due to the increase in number of cardiac patients in recent times due to the lack of unawareness of the symptoms. This work mainly aims to detect the anomalies of the rhythmic conditions of the pulse derived from the electrocardiogram (ECG) pattern based on correlation and the method of mapping. As this device is a programmable one and a real‐time application wearable system on the wrist which is physically connected to the veins, it continuously monitors the photoplethysmography (PPG) pattern based on certain parameters and rhythmic conditions, it ensures whether the patient is under the safe condition or not. The salient features of PPG waveform are extracted with respect to various abnormal categories of ECG beats subdivided into various time durations of one, two and three. The PPG pattern using various feature extraction and the correlation transforms with the signal processing application. The extracted features help to find the skipped beat with irregularities of the rhythm will activate the emergency condition protocol in the device. The location of the patient with a critical condition is sent to the nearest health centre. This innovation is a portable one and a user‐friendly application which can save many lives in the society.