Abstract—Technology has been able to provide the tools for swift and rapid treatment but is our human counterpart equally tuned. As the growing need of doctors is unable to compete with ever prolific population growth, the development of stand-alone systems for providing immediate health care or First Aid has become a dire need. To add to this dilemma, acute shortage of health care professionals in this field has led to major outsourcing of human resources from villages, slums and rural areas. This massive inflow of partially or completely untrained health care assistants has only added oil to this growing flame of unresponsive and crude immediate health care competence. The solution we propose in this paper is the development and integration of unique case-based statistical data collection with autonomous emergency alerts and temporary preventive measures. Thus restricting the patient’s dependence on doctors or nurses might not be in the position to provide the best treatment due to sudden escalating unforeseen conditions.

Index Terms—first aid, healthcare, case-based statistical data, emergency care

Cite: Jehan N. Taraporewalla, Rishika Prasad, and Kunal Choudhary, "Integrated Autonomous Emergency Detection and Warning Systems," Journal of Medical and Bioengineering, Vol. 4, No. 1, pp. 54-58, February 2015. Doi: 10.12720/jomb.4.1.54-58