Physiological measurement platform using wireless network with Android application

TL;DR: In this paper , the authors proposed a hybrid mobile cloud computing (HMCC) architecture to address the challenges of network availability, latency, battery life, and resource availability in cloud-based healthcare applications.

TL;DR: In this article, different Machine Learning classifiers were used on these extracted features for comparative analysis in terms of Accuracy, prediction Speed and training time in MatLab. After compared these classifiers on the performance parameters, the best classifier trained Models were utilized in checking effectiveness to clearly distinguish between Epileptic and Normal cases.

TL;DR: In this paper , the authors study how to use the big data era to integrate the campus network application platform to promote the process of regional education information construction and summarize the practical experience of informatization promoting education modernization in the city.

TL;DR: Results indicate that the proposed WBAN model can transmit signals with minimum energy consumption, meanwhile reconstructing them with high quality at the receiver, and is compared with other denoising methods.

TL;DR: It is concluded that it is possible to set up a complete intelligent health care chain with mobile monitoring and healthcare service via the assistance of the proposed role-based intelligent mobile care system with alert mechanism in chronic care environment.

TL;DR: The proper utilization of MATLAB functions (both built-in and user defined), toolbox and Simulink can lead to work with ECG signals for processing and analysis both in real time and by simulation with great accuracy and convenience.

TL;DR: The Electronic Patch is demonstrated with a new optical biomedical sensor for reflectance pulse oximetry so that the Electronic Patch in this case can measure the pulse and the oxygen saturation.

TL;DR: The health care scheme is focus on the measurement and Monitoring various biological parameters of patient's body like heart rate, oxygen saturation level in blood and temperature using a web server and android application, where doctor can continuously monitor the patient's condition on his smart phone using an Android application.