Single channel ECG for obstructive sleep apnea severity detection using a deep learning approach

N Banluesombatkul, T Rakthanmanon… - TENCON 2018-2018 …, 2018 - ieeexplore.ieee.org
Obstructive sleep apnea (OSA) is a common sleep disorder caused by abnormal breathing.
The severity of OSA can lead to many symptoms such as sudden cardiac death (SCD) …

Human posture classification using interpretable 3-D fuzzy body voxel features and hierarchical fuzzy classifiers

CF Juang, WE Ni - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
This article proposes a human posture classification system to classify the four postures of
standing, bending, sitting, and lying using three-dimensional (3-D) fuzzy body voxel features …

Explainable fuzzy neural network with easy-to-obtain physiological features for screening obstructive sleep apnea-hypopnea syndrome

CF Juang, CY Wen, KM Chang, YH Chen, MF Wu… - Sleep Medicine, 2021 - Elsevier
Objective/background Recently, several tools for screening obstructive sleep apnea-
hypopnea syndrome (OSAHS) have been devised with varied shortcomings. To overcome …

Hand palm tracking in monocular images by fuzzy rule-based fusion of explainable fuzzy features with robot imitation application

CF Juang, CW Chang, TH Hung - IEEE Transactions on Fuzzy …, 2021 - ieeexplore.ieee.org
This article proposes a new method for the tracking of three-dimensional (3-D) hand palms
from the whole human standing body using fuzzy rule-based fusion of explainable fuzzy …

Obstructive sleep apnea: a prediction model using supervised machine learning method

Z Keshavarz, R Rezaee, M Nasiri… - The Importance of …, 2020 - ebooks.iospress.nl
Abstract Obstructive Sleep Apnea (OSA) is the most common breathing-related sleep
disorder, leading to increased risk of health problems. In this study, we investigated and …

Multiobjective optimization of interpretable fuzzy systems and applicable subjects for fast estimation of obstructive sleep apnea-hypopnea severity

CF Juang, GR Pan, WC Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes an interpretable fuzzy estimation system (IFES) for fast estimation of
severity of obstructive sleep apnea-hypopnea syndrome (OSAHS) using three easily …

An extensive investigation of machine learning techniques for sleep apnea screening

JF Rodrigues Jr, JL Pepin, L Goeuriot… - Proceedings of the 29th …, 2020 - dl.acm.org
The identification of Obstructive Sleep Apnea (OSA) relies on laborious and expensive
polysomnography (PSG) exams. However, it is known that other factors, easier to measure …

FPGA implementation of a functional neuro-fuzzy network for nonlinear system control

JY Jhang, KH Tang, CK Huang, CJ Lin, KY Young - Electronics, 2018 - mdpi.com
This study used Xilinx Field Programmable Gate Arrays (FPGAs) to implement a functional
neuro-fuzzy network (FNFN) for solving nonlinear control problems. A functional link neural …

A fuzzy neural network model for rapid prediction of optimal positive airway pressures in OSAS patients

CF Juang, GR Pan, CY Wen, KM Chang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Manual titration of positive airway pressure (PAP) is a gold standard to provide an optimal
pressure for the treatment of obstructive sleep apnea-hypopnea syndrome (OSAS). Since …

A minimalist method toward severity assessment and progression monitoring of obstructive sleep apnea on the edge

MJ Rahman, BI Morshed - ACM Transactions on Computing for …, 2021 - dl.acm.org
Artificial Intelligence-enabled applications on edge devices have the potential to
revolutionize disease detection and monitoring in future smart health (sHealth) systems. In …