Disease Prediction Using Heart rate Variability Analysis - IoT
Abstract: A smart watch which sends the Heart-rate Datasets of an Individual every minute/hour to the cloud for performing Disease Predictive Analytics. The System which runs on the Backend/cloud, implements various Data Mining Techniques like Clustering and Classification, generates the Analysis report on heart-rate variations for every day, every month and every year. The System also serve the users with real-time notifications of their heart condition and guides them with proper healthcare. This kind of information can be of value to the medical community. Heart Rate Variability Analysis predicts near-future heart diseases in individuals, alerting them in advance.
Keywords: Heart Disease, Prediction, Internet of Things, Wearable, Analytics
How to Cite?: Dharmik Jampala, Venkat Naidu Mittapalle, Sitanshu Nandan, "Disease Prediction Using Heart rate Variability Analysis - IoT", Volume 4 Issue 9, September 2015, International Journal of Science and Research (IJSR), Pages: 656-658, https://www.ijsr.net/getabstract.php?paperid=SUB158092, DOI: https://dx.doi.org/10.21275/SUB158092