Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals

Towards an anxiety and stress recognition system for academic environments based on physiological features

(2020) Jorge Rodríguez-Arce et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Recurrence Quantification Analysis of Heart Rate During Mental Arithmetic Stress in Young Females

(2020) Dimitriy Dimitriev et al.   Frontiers in Physiology

Toward soft real-time stress detection using wrist-worn devices for human workspaces

(2020) Sunder Ali Khowaja et al.   Soft Computing

An Ensemble Classification Model With Unsupervised Representation Learning for Driving Stress Recognition Using Physiological Signals

(2020) Ke Wang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Mental stress causes vasoconstriction in sickle cell disease and normal controls

(2019) Payal Shah et al.   HAEMATOLOGICA

Deep ECG-Respiration Network (DeepER Net) for Recognizing Mental Stress

(2019) Wonju Seo et al.   SENSORS

Anxiety Level Recognition for Virtual Reality Therapy System Using Physiological Signals

(2019) Justas Šalkevicius et al.   Electronics

Automatic driver stress level classification using multimodal deep learning

(2019) Mohammad Naim Rastgoo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals

(2018) Bosun Hwang et al.   Telemedicine and e-Health

Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals

(2018) Bosun Hwang et al.   Telemedicine and e-Health

A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements

(2018) Mohammad Naim RASTGOO et al.   ACM COMPUTING SURVEYS

A unified non-linear approach based on recurrence quantification analysis and approximate entropy: application to the classification of heart rate variability of age-stratified subjects

(2018) Vikramjit Singh et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers

(2017) Lan-lan Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting Upcoming Values of Stress While Driving

(2017) Mario Munoz-Organero et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Effects of stress on the development and progression of cardiovascular disease

(2017) Mika Kivimäki et al.   Nature Reviews Cardiology

Driver state estimation by convolutional neural network using multimodal sensor data

(2016) Sejoon Lim et al.   ELECTRONICS LETTERS

A Survey of Affective Computing for Stress Detection: Evaluating technologies in stress detection for better health

(2016) Shalom Greene et al.   IEEE Consumer Electronics Magazine

Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis

(2015) R. Castaldo et al.   Biomedical Signal Processing and Control

How the Autonomic Nervous System and Driving Style Change With Incremental Stressing Conditions During Simulated Driving

(2015) Antonio Lanata et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A comparative evaluation of neural network classifiers for stress level analysis of automotive drivers using physiological signals

(2013) Rajiv Ranjan Singh et al.   Biomedical Signal Processing and Control

A k-nearest-neighbor classifier with heart rate variability feature-based transformation algorithm for driving stress recognition

(2012) Jeen-Shing Wang et al.   NEUROCOMPUTING