[HTML][HTML] Addressing bias in big data and AI for health care: A call for open science
Artificial intelligence (AI) has an astonishing potential in assisting clinical decision making
and revolutionizing the field of health care. A major open challenge that AI will need to …
and revolutionizing the field of health care. A major open challenge that AI will need to …
Automated sleep scoring: A review of the latest approaches
Clinical sleep scoring involves a tedious visual review of overnight polysomnograms by a
human expert, according to official standards. It could appear then a suitable task for modern …
human expert, according to official standards. It could appear then a suitable task for modern …
A comparative review on sleep stage classification methods in patients and healthy individuals
Background and objective: Proper scoring of sleep stages can give clinical information on
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting
AR Hassan, MIH Bhuiyan - Computer methods and programs in …, 2017 - Elsevier
Background and objective: Automatic sleep staging is essential for alleviating the burden of
the physicians of analyzing a large volume of data by visual inspection. It is also a …
the physicians of analyzing a large volume of data by visual inspection. It is also a …
Computer-aided sleep staging using complete ensemble empirical mode decomposition with adaptive noise and bootstrap aggregating
AR Hassan, MIH Bhuiyan - Biomedical Signal Processing and Control, 2016 - Elsevier
Computer-aided sleep staging based on single channel electroencephalogram (EEG) is a
prerequisite for a feasible low-power wearable sleep monitoring system. It can also …
prerequisite for a feasible low-power wearable sleep monitoring system. It can also …
A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features
AR Hassan, MIH Bhuiyan - Journal of neuroscience methods, 2016 - Elsevier
Background Automatic sleep scoring is essential owing to the fact that conventionally a large
volume of data have to be analyzed visually by the physicians which is onerous, time …
volume of data have to be analyzed visually by the physicians which is onerous, time …
A review of obstructive sleep apnea detection approaches
F Mendonca, SS Mostafa… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep disorders are a common health condition that can affect numerous aspects of life.
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Sleep stage classification using single-channel EOG
MM Rahman, MIH Bhuiyan, AR Hassan - Computers in biology and …, 2018 - Elsevier
Sleep stage classification is an important task for the timely diagnosis of sleep disorders and
sleep-related studies. In this paper, automatic scoring of sleep stages using …
sleep-related studies. In this paper, automatic scoring of sleep stages using …
[图书][B] Mobile health: a technology road map
S Adibi - 2015 - books.google.com
This book offers a comprehensive report on the technological aspects of Mobile Health
(mHealth) and discusses the main challenges and future directions in the field. It is divided …
(mHealth) and discusses the main challenges and future directions in the field. It is divided …
Deepsleepnet-lite: A simplified automatic sleep stage scoring model with uncertainty estimates
Deep learning is widely used in the most recent automatic sleep scoring algorithms. Its
popularity stems from its excellent performance and from its ability to process raw signals …
popularity stems from its excellent performance and from its ability to process raw signals …