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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 ...
Formal verification of energy consumption for an EEG monitoring wireless body area sensor network
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Wireless Body Area Sensor Networks (BASNs) are increasingly gaining notable attention in the domain of real-time and non-invasive human health care due to their cost-effectiveness. Minimizing their energy consumption under ...
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 ...
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 ...
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 ...