Mobile Application

Mobile Application

  • Submitted By: abaxxx
  • Date Submitted: 10/11/2013 10:11 AM
  • Category: Technology
  • Words: 583
  • Page: 3
  • Views: 198

Computational power and interconnection capacities have contributed smartphones and tablets to become an essential tool to medical sector. Developed countries have demonstrated that mobile devices may be considered as equipment for tracking, monitoring, reading updating and treatment assistance; hence, they will be portable health care support machines. We have developed a mobile application for ambulatory electrocardiographic monitoring based on Android and iOS (iPhone Operating System), which contributes to proceed with accuracy in daily activities connecting different zones. The application, composed by buttons, switches, sliders and rotating screens, runs under two scenarios: patient and doctor mode, allowing medical personnel to define different configurations. Both modes permit users to visualize in real time captured readings and tracings. Its advantages have increased in capabilities and decreased complexities, becoming one of the main instruments at hospital environments. It has been proven that such devices have better performance through the usage of cloud computing services, low power consumption and low number of connections. This paper aims to stimulate medical personnel the use of capacities for mobile devices through medical applications and guide diagnose procedures with efficiency

AN ACTIVE MONITORING SYSTEM FOR REAL-TIME
FACE-TRACKING BASED ON MOBILE SENSORS
ABSTRACT
Surveillance systems frequently use fixed or semimobile cameras. However, in many cases, the use of intelligent mobile sensors is preferrable over fixed sensors, because the system configuration can be modified according to particular environmental conditions or adapted to compensate for one or more malfunctioning sensors. This paper proposes a real-time surveillance system based on a mobile sensor. Using an Android smartphone and a face-tracking algorithm, the system can move autonomously to track the human face with the longest presence in the video field. In addition, the...

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