Key result
Arduino-based IoT wearable system enables continuous and anonymous cloud-based ECG monitoring.
Why the study?
Continuous ECG data monitoring with IoT offers potential for quicker, smarter, and more effective diagnosis, especially for critical patients without immediate doctor availability.
Describes a prototype IoT-based wearable ECG monitoring system for continuous patient observation and data analysis.
May enable remote ECG monitoring in critical patients; hypothesis-generating and requires prospective validation before adoption.
Continuous ECG data monitoring with IoT will be a platform for the healthcare industry, which will enable doctors with quicker, smarter and effective methods of diagnosis. Statistical Analysis of Real time monitoring of patients and feeding the monitored data to the internet is going to be one of the big things in future. IoT Healthcare can be used for critical patients needs to be under continuous observation; especially in the absence or unavailability of medical doctor. Early detection of diseases is possible with IoT Healthcare applications and the doctor can be notified immediately. IoT healthcare has a wide range of applications like Heart-rate monitoring, ECG monitoring, bloodpressure monitoring, etc. ECG monitoring with IoT and the methodology of its implementation. It is proposed and implemented a Smart healthcare application using a IoT system based on AD8232 heart rate sensor interfaced with Arduino UNO and further connected to Cloud using an ESP8266 Wireless LAN Module. The data collected from the sensors are updated in the cloud without identity. The aggregated data can be made available to the doctors for their research and studies. Data analysis tools will be used to interpret and present the data. Since dates are update in the cloud the availability is ensured and by hiding the identity, confidentiality is maintained. Thus continuous monitoring of patients through IoT will help both patients to maintain the health and doctors to diagnose the disease or predict the cause of the disease.
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Marudhapandi et al. (2019) studied ECG monitoring. IoT system based on AD8232 heart rate sensor and Arduino UNO was evaluated. A smart healthcare application using an IoT system based on an AD8232 heart rate sensor and Arduino UNO was proposed and implemented for continuous, anonymous ECG monitoring via the cloud.
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