[HTML][HTML] Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review
In recent years, the role of bioinformatics and computational biology together with omics
techniques and transcriptomics has gained tremendous importance in biomedicine and …
techniques and transcriptomics has gained tremendous importance in biomedicine and …
A Multimodal Late Fusion Framework for Physiological Sensor and Audio-Signal-Based Stress Detection: An Experimental Study and Public Dataset
Stress can be considered a mental/physiological reaction in conditions of high discomfort
and challenging situations. The levels of stress can be reflected in both the physiological …
and challenging situations. The levels of stress can be reflected in both the physiological …
Privee: A wearable for real-time bladder monitoring system
Urinary incontinence (UI) is a prevalent condition affecting millions of individuals worldwide,
leading to various physical, social, and psychological challenges that diminish their quality …
leading to various physical, social, and psychological challenges that diminish their quality …
Apex: Attention on personality based emotion rexgnition framework
Automated emotion recognition has applications in various fields, such as human-machine
interaction, healthcare, security, education, and emotion-aware recommendation/feedback …
interaction, healthcare, security, education, and emotion-aware recommendation/feedback …
Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data
Stress can disrupt daily activities and harm health if prolonged or severe. Early detection of
mental stress, indicated by changes in bio-signals like thermal, electrical, and acoustic …
mental stress, indicated by changes in bio-signals like thermal, electrical, and acoustic …
Advanced energy-efficient system for precision electrodermal activity monitoring in stress detection
This paper presents a novel Electrodermal Activ-ity (EDA) signal acquisition system,
designed to address the challenges of stress monitoring in contemporary society, where …
designed to address the challenges of stress monitoring in contemporary society, where …
Investigating the Generalizability of Physiological Characteristics of Anxiety
Recent works have demonstrated the effectiveness of machine learning (ML) techniques in
detecting anxiety and stress using physiological signals, but it is unclear whether ML models …
detecting anxiety and stress using physiological signals, but it is unclear whether ML models …
Emotion and Stress Recognition Utilizing Galvanic Skin Response and Wearable Technology: A Real-time Approach for Mental Health Care
In modern society, people are exposed to various stressors and negative emotions daily and
they may cause mental and physical diseases such as depression, anxiety, high blood …
they may cause mental and physical diseases such as depression, anxiety, high blood …
Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing
In the realm of physiological-based affective computing, significant progress has been
witnessed in machine learning over the last two decades. Nevertheless, the lack of …
witnessed in machine learning over the last two decades. Nevertheless, the lack of …
A Wearable Haptic Sleeve Interface for Spaceflight Robotic Arm Operations
During spacecraft robotic arm operations, haptic feedback has the potential to display rich
streams of relevant data to the user, such as trajectory information and velocity. One …
streams of relevant data to the user, such as trajectory information and velocity. One …