creator Yi, Won-jae advisor Saniie, Jafar A system using Android devices that collects, displays sensor data on the screen and streams to the central server in real-time is presented in this research. Common Android devices, such as smartphones and tablets, are considered for this system to demonstrate its flexibility and compatibility of the application on any Android device. Bluetooth and wireless Internet connections are used for data transmission among the devices. Also, using Near Field Communication (NFC) technology on the smartphone, the system constructs a more efficient and convenient mechanism to achieve an automatic Bluetooth connection and an automatic application execution. This system is beneficial on Body Sensor Network (BSN) establishments for medical healthcare applications by adding wireless technology. Various types of sensors can be adapted to monitor a patient’s status in real-time. For demonstration purposes, an accelerometer, a temperature sensor and vital signs signal sensor data, including electrocardiography (ECG), blood pressure, electroencephalography (EEG) and respiration, are used to perform the experiment to provide fundamentals of remote patient diagnosis. Raw sensor data is interpreted to either graphical or text notations to be presented on the Android device and the central server. Furthermore, a Java-based central server application is introduced to demonstrate communication with the Android system for data storage and analysis through Internet connections. This system is capable of data transmission in real-time without exploiting system resources for data collection and interpretation. This system is also can be further extended for additional sensors, such as a sweatiness sensor, an electromyography (EMG) sensor, a glucose sensor and more for enhanced patient status diagnosis. Submitted by Dana Lamparello (dlampare@iit.edu) on 2012-08-21T19:59:26Z No. of bitstreams: 1 Yi_Won-Jae_A20210603_MS_Thesis.pdf: 3522502 bytes, checksum: 842902fd0be0f29ee903aa846f4929a8 (MD5) Made available in DSpace on 2012-08-21T19:59:26Z (GMT). No. of bitstreams: 1 Yi_Won-Jae_A20210603_MS_Thesis.pdf: 3522502 bytes, checksum: 842902fd0be0f29ee903aa846f4929a8 (MD5) Previous issue date: 2012-05 M.S. in Computer Engineering, May 2012 2012-04-25 2012-05 http://hdl.handle.net/10560/2820 en Thesis born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access ECE / Electrical and Computer Engineering Illinois Institute of Technology Affiliated department