Wireless Machine-To-Machine Healthcare Solution Using Android Mobile Devices In Global Networks
i-manager s Journal on Mobile Applications and Technologies · 2014
Healthcare is moving from an approach based on the reactive responses to acute conditions to a proactive approach characterized by early detection, prevention, and long-term management of health conditions. The current trend places an emphasis on the monitoring of health conditions and the management of wellness as significant contributors to individual healthcare and wellbeing, thereby improving the quality of life. The biomedical signals are critical for the advancement of diagnosis as well as treatment of cardiovascular diseases by using wireless wearable sensors [1]-[3]. For example, continuous recording of an Electrocardiogram (ECG) or Photoplethysmogram (PPG) by a wearable sensor can provide a realistic view of the heart condition of a patient during normal daily routines, and can help detect conditions such as high blood pressure, stress [4], anxiety, diabetes, and depression [5], [6]. In addition, it is conceivable that, further automated analysis of recorded biomedical signals could support doctors in their daily practices and allow the development of warning systems. This would bring several benefits: it would increase the health observability, collaboration among doctors, and doctor-to-patient efficiency [7], and thereby decrease healthcare costs. Moreover, such continuous monitoring would increase early detection of abnormal health conditions and diseases, and therefore provide a great potential to improve the quality of life of patients [8]. Recent technological advances in M2M systems together with the rise of M2M communications over wired and wireless links allow the design of lightweight, low-power sensors at low cost for wearable sensor networks, integrated circuits, and wireless communication [9], [10].