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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 ...
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 ...
Concurrent association in heterogeneous networks with underlay D2D communication
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Deployment of Device-to-Device (D2D) communication within dense heterogeneous networks is a key solution in order to face the intense demand for high data rates and quality of the service in future 5G networks. However, ...
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 ...
Resource provisioning for cloud-assisted body area network in a smart home environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
In recent years, cloud-assisted body area network (CABAN) technologies have made their entrance in the Smart healthcare field, such as Smart home environment, and play a significant role for healthcare data storage, ...
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 ...
Erratum: Publisher Correction: Efficient ECG Compression and QRS Detection for E-Health Applications (Scientific reports (2017) 7 1 (459))
(
NLM (Medline)
, 2017 , Other)
A correction to this article has been published and is linked from the HTML version of this paper. The error has not been fixed in the paper.
Efficient ECG Compression and QRS Detection for E-Health Applications
(
Nature Publishing Group
, 2017 , Article)
Current medical screening and diagnostic procedures have shifted toward recording longer electrocardiogram (ECG) signals, which have traditionally been processed on personal computers (PCs) with high-speed multi-core ...
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 ...