Authors :
Gayatree Deepak Sharma; Pratyansh Sahu; Kanika Lamba
Volume/Issue :
Volume 7 - 2022, Issue 5 - May
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3GGScgC
DOI :
https://doi.org/10.5281/zenodo.6604944
Abstract :
In the recent human health care scenario, the
majority of people are battling from arrhythmia, which
is a sort of cardiovascular ailment that develops when a
person's heart rate is irregular or unstable. Health
monitoring and the numerous technologies that go with
it are a viable research topic. The number of ECG
monitoring systems available in the literature is rapidly
growing. As a result, it's difficult for researchers and
healthcare professionals to select, compare, and assess
systems that meet their demands while also meeting
monitoring criteria. We propose a taxonomy for ECG
monitoring systems and conduct a systematic review of
the literature in this work.It also provides evidencebased support for deeply recognising ECG monitoring
systems components, features, and obstacles in
diagnosing various health conditions. Electrocardiogram
signal should be continuously monitored regardless of
location bounded to the subject and the appropriate
physician. In this study, a wireless ECG monitoring
system based on the AD8232 signal conditioning module
was proposed for real-time signal collecting. The AD8232
ECG Sensor will be connected to the ESP32. Then, by
connecting ECG leads to the chest or hand, we'll obtain
an ECG signal. We'll transfer the ECG graph to the
cloud using MQTT Broker utilising Ubidots parameters
like API Key or Token. Additionally, we highlight the
necessity of smart monitoring systems that control
emerging technologies such as deep learning, artificial
intelligence (AI), Big Data, and the Internet of Things
(IoT) in order to deliver efficient, cost-aware, and
completely linked monitoring systems.
Keywords :
Health care, Cardiovascular, ECG, IoT
In the recent human health care scenario, the
majority of people are battling from arrhythmia, which
is a sort of cardiovascular ailment that develops when a
person's heart rate is irregular or unstable. Health
monitoring and the numerous technologies that go with
it are a viable research topic. The number of ECG
monitoring systems available in the literature is rapidly
growing. As a result, it's difficult for researchers and
healthcare professionals to select, compare, and assess
systems that meet their demands while also meeting
monitoring criteria. We propose a taxonomy for ECG
monitoring systems and conduct a systematic review of
the literature in this work.It also provides evidencebased support for deeply recognising ECG monitoring
systems components, features, and obstacles in
diagnosing various health conditions. Electrocardiogram
signal should be continuously monitored regardless of
location bounded to the subject and the appropriate
physician. In this study, a wireless ECG monitoring
system based on the AD8232 signal conditioning module
was proposed for real-time signal collecting. The AD8232
ECG Sensor will be connected to the ESP32. Then, by
connecting ECG leads to the chest or hand, we'll obtain
an ECG signal. We'll transfer the ECG graph to the
cloud using MQTT Broker utilising Ubidots parameters
like API Key or Token. Additionally, we highlight the
necessity of smart monitoring systems that control
emerging technologies such as deep learning, artificial
intelligence (AI), Big Data, and the Internet of Things
(IoT) in order to deliver efficient, cost-aware, and
completely linked monitoring systems.
Keywords :
Health care, Cardiovascular, ECG, IoT
