IoT Based Blood Pressure Monitoring System with Online Database Analytics

IoT Based Blood Pressure Monitoring System with Online Database Analytics
Blood pressure monitoring plays a crucial role in managing cardiovascular health conditions. Traditionally, blood pressure is measured manually in clinics using an aneroid or mercury sphygmomanometer. However, such occasional spot measurements do not provide a complete picture of an individual’s blood pressure trends over extended periods. With advancements in wireless technologies and mobile health, internet of things (IoT) based solutions have emerged for continuous blood pressure monitoring outside of clinical settings. This article discusses the design and development of an IoT-enabled blood pressure monitoring system integrated with an online database for real-time analytics.
The proposed system utilizes an Arduino microcontroller interfaced with an ADC blood pressure sensor module and WiFi module. The sensor module non-invasively measures systolic and diastolic blood pressure from the upper arm. The microcontroller samples blood pressure readings at configurable intervals and transmits the data to a remote server via WiFi. An online MySQL database hosted on a local web server stores the incoming blood pressure values. Authorized users can access a custom web dashboard to view real-time blood pressure trends as well as historical readings. Advanced database queries and visualization tools enable analysis of variations in readings over time.
Preliminary validation studies conducted on 5 participants over a period of 2 weeks demonstrate the effectiveness of continuous blood pressure monitoring using the developed IoT system.[1] Automated transmission of measurements to the cloud facilitates remote patient monitoring without the need for manual downloads. The online database further aids clinicians in identifying abnormalities or pre-hypertensive conditions that may remain undetected through occasional spot checks.[2] With further refinements to improve usability and accuracy, such IoT-enabled solutions can enable long-term out-of-clinic management of hypertension and related cardiovascular conditions.
In conclusion, this article presented the design of an IoT-based blood pressure monitoring system integrated with an online database for real-time analytics. The system leverages wireless transmission of measurements and cloud-based storage to realize continuous blood pressure monitoring outside clinical settings. Remote access to measurements and analytics tools aids clinicians in effective management of patients’ cardiovascular health conditions.
References:
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