Abstract
m-Health is an emerging area that is transforming how people take part in the control of their wellness condition. This vision is changing traditional health processes by discharging hospitals from the care of people. Important advantages of continuous monitoring can be reached but, in order to transform this vision into a reality, some factors need to be addressed. m-Health applications should be shared by patients and hospital staff to perform proper supervised health monitoring. Furthermore, the uses of smartphones for health purposes should be transformed to achieve the objectives of this vision. In this work, we analyze the m-Health features and lessons learned by the experiences of systems developed by MAmI Research Lab. We have focused on three main aspects: m-interaction, use of frameworks, and physical activity recognition. For the analysis of the previous aspects, we have developed some approaches to: (1) efficiently manage patient medical records for nursing and healthcare environments by introducing the NFC technology; (2) a framework to monitor vital signs, obesity and overweight levels, rehabilitation and frailty aspects by means of accelerometer-enabled smartphones and, finally; (3) a solution to analyze daily gait activity in the elderly, carrying a single inertial wearable close to the first thoracic vertebra.
Highlights
There is no doubt that the increasing use of smartphones makes them the most widespread electronic device around the world
Apart from smartphones, we made use of three technologies: Near Field Communication (NFC), inertial measurement units (IMUs) both integrated in phones or in dedicated devices and Wi-Fi or Bluetooth communication technologies
We have addressed several perspectives on m-Health research
Summary
There is no doubt that the increasing use of smartphones makes them the most widespread electronic device around the world. Accelerometer, gyroscope, GPS, camera (back and front), microphone, NFC, touch screen, Wi-Fi, Bluetooth, and other embedded features suggest that smartphones are excellent devices for supporting applications in many domains like healthcare [1], environmental monitoring [2], etc This represents an evolution from traditional health (and later telemedicine) to wireless and mobile systems, which are cost-effective, flexible, and efficient [3]. M-Health holds a promise for improving health with independence and cost-effectiveness, transforming the traditional healthcare system by means of education, motivation, and connectivity In this context, ensuring personal wellbeing through smartphone applications in an increasingly aging population requires monitoring multiple human behaviors in physical, mental, and social dimensions [18]. Apart from smartphones, we made use of three technologies: Near Field Communication (NFC), inertial measurement units (IMUs) both integrated in phones or in dedicated devices and Wi-Fi or Bluetooth communication technologies
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