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Big health data: Cardiac remodelling and functional interactions of big brain based implications in body sensor networks

Big data analytics enhance modern healthcare by providing personalized medicine based on predictive prescriptions. A model of three layered data sharing for Big Heart Data is developed which uncovers the scope of cardiac remodelling. Remodelling helps in predicting status of heart health informatics based on existing database and prioritizing patient's recent-past cardiac activities. The concept was found to indicate early stages of heart failure leaving ample time to protect the patient from an acute cardiac arrest. A comparative analysis of Activation States and Rest-Task Pair Connectivity of brain is also conducted. Experimental explanations are also provided by recognition process and it opened the scope of not only detecting but also curing dementia by Body Sensor Networking (BSN). BSN can also aid rural cardiac treatments. Big Health Data leads to explore a new era of remotely testing, diagnosing and even curing particular diseases at an early stage without complex medications.