39 citations · 53 across the 11 of their papers we have counts for
11 papers
Ride, Track, and Recover: Pilot Randomized Trial of a Wearable Digital Self-Management Intervention During a Veteran Endurance-Cycling Program
Alan Ta, Nilsu Salgin, Caleb Armstrong +2
Post-traumatic stress disorder (PTSD) in veterans is characterized by persistent hyperarousal and comorbid anxiety and depressive symptoms that are difficult to monitor and manage…
Attention Dynamics and Adaptive Decision Support in C5ISR: A Recurrence Quantification Analysis of Visual and Multimodal Attention Guidance Effects on Mission Performance
Hyun-Gee Jei, Caleb J. Armstrong, Farzan Sasangohar
Modern command, control, communications, computers, cyber, intelligence, surveillance, and reconnaissance (C5ISR) environments place substantial attentional demands on mission comm…
The Dynamics of Attention across Automated and Manual Driving Modes: A Driving Simulation Study
Yuan Cai, Mustafa Demir, Farzan Sasangohar +1
This study aims to explore the dynamics of driver attention to various zones, including the road, the central mirror, the embedded Human-Machine Interface (HMI), and the speedomete…
Eyes on the Mission: Mixed Methods Assessment of Eye-Tracker-Enabled Interactive Decision Support in a Simulated Unmanned Aerial Vehicle System
Hyun-Gee Jei, Mustafa Demir, Farzan Sasangohar
Supervisors in military command and control (C2) environments face dynamic conditions. Dynamically changing information continuously flows to the supervisors through multiple displ…
Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach
Alan Ta, Nilsu Salgin, Mustafa Demir +5
College students are increasingly affected by stress, anxiety, and depression, yet face barriers to traditional mental health care. This study evaluated the efficacy of a mobile he…
Evaluating Mental Stress Among College Students Using Heart Rate and Hand Acceleration Data Collected from Wearable Sensors
Moein Razavi, Anthony McDonald, Ranjana Mehta +1
Stress is various mental health disorders including depression and anxiety among college students. Early stress diagnosis and intervention may lower the risk of developing mental i…
Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review
Moein Razavi, Samira Ziyadidegan, Reza Jahromi +5
Background: Mental stress and its consequent mental disorders (MDs) are significant public health issues. With the advent of machine learning (ML), there's potential to harness com…
Integration of Remote Patient Monitoring Systems into Physicians Work in Underserved Communities: Survey of Healthcare Provider Perspectives
Samuel Bonet Olivencia, Karim Zahed, Farzan Sasangohar +2
Remote patient monitoring (RPM) technologies have been identified as a viable alternative to improve access to care in underserved communities. Successful RPM platforms are designe…
Mobile Health Solution for College Student Mental Health: Interview Study and Design Requirement Analysis
Xiaomei Wang, Alec Smith, Bruce Keller +1
Background: Mental health problems are prevalent in college students. The COVID-19 pandemic exacerbated the problems, and created a surge in the popularity of telehealth and mobile…
Investigating the Perceived Precision and validity of a Field-Deployable Machine Learning-based Tool to Detect Post-Traumatic Stress Disorder (PTSD) Hyperarousal Events
Mahnoosh Sadeghi, Farzan Sasangohar, Anthony D McDonald
Post Traumatic Stress Disorder is a psychiatric condition experienced by individuals after exposure to a traumatic event. Prior work has shown promise in detecting PTSD using physi…
Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data
Mahnoosh Sadeghi, Anthony D McDonald, Farzan Sasangohar
Posttraumatic Stress Disorder (PTSD) is a psychiatric condition affecting nearly a quarter of the United States war veterans who return from war zones. Treatment for PTSD typically…