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Deep learning approach for EEG compression in mHealth system
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The emergence of mobile health (mHealth) systems has risen the challenges and concerns due to the sensitivity of the data involved in such systems. It is essential to ensure that these data are well delivered to the health ...
Adaptive forwarding of mHealth data in challenged networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
With the advancements in mobile sensors and health-care technologies, mobile health (mHealth) services are growing in demand. However, the deployment of mHealth's applications in rural and underdeveloped areas remains a ...
Walsh transform with moving average filtering for data compression in wireless sensor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Due to the peculiarity of wireless sensor networks (WSNs), where a group of sensors continuously transmit data to other sensors or to the fusion center, it is crucial to compress the transmitted data in order to save the ...
FPGA implementation of DWT EEG data compression for wireless body sensor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Wireless body sensor networks (WBSN) provide an appreciable aid to patients who require continuous care and monitoring. One key application of WBSN is mobile health (mHealth) for continuous patient monitoring, acquiring ...
On the shortcoming of DTN solutions in rural mHealth applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The proliferation of mobile health (mHealth) technologies in rural and disconnected areas has enabled novel communication challenges. These challenges exist due to the underdeveloped Internet infrastructure, wireless ...
Argus: Realistic target coverage by drones
(
Association for Computing Machinery, Inc
, 2017 , Conference Paper)
Low-cost mini-drones with advanced sensing and maneuverability enable a new class of intelligent visual sensing systems. This potential motivated several research eforts to employ drones as standalone surveillance systems ...
DLRT: Deep learning approach for reliable diabetic treatment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Diabetic therapy or insulin treatment enables patients to control the blood glucose level. Today, instead of physically utilizing syringes for infusing insulin, a patient can utilize a gadget, for example, a Wireless Insulin ...
A simple angle of arrival estimation system
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
We propose a practical, simple and hardware friendly, yet novel and very efficient, angle of arrival (AoA) estimation system. Our intuitive, two-phases cross-correlation based system requires a switched beam antenna array ...
Neural network conditional random fields for self-paced brain computer interfaces
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The task of classifying EEG signals for self-paced Brain Computer Interface (BCI) applications is extremely challenging. This difficulty in classification of self-paced data stems from the fact that the system has no clue ...
A review of security challenges, attacks and resolutions for wireless medical devices
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Evolution of implantable medical devices for human beings has provided a radical new way for treating chronic diseases such as diabetes, cardiac arrhythmia, cochlear, gastric diseases etc. Implantable medical devices have ...