Trunk Motion System (TMS) Using Printed Body Worn Sensor (BWS) via Data Fusion Approach. - Mohammad Iman Mokhlespour Esfahani; Omid Zobeiri; Behzad Moshiri; Roya Narimani; Mohammad Mehravar; Ehsan Rashedi; Mohamad Parnianpour (Sensors, 2017)

Investigating the effect of fatigue on muscle microvasculature blood flow during intermittent isometric contraction. - Nicole S. Nugent; Joseph B. Majeski; Regine Choe; Ehsan Rashedi (EMBC, 2020)

Using a Motion Sensor to Categorize Nonspecific Low Back Pain Patients: A Machine Learning Approach. - Masoud Abdollahi; Sajad Ashouri; Mohsen Abedi; Nasibeh Azadeh-Fard; Mohamad Parnianpour; Kinda Khalaf; Ehsan Rashedi (Sensors, 2020)

A Practical Sensor-Based Methodology for the Quantitative Assessment and Classification of Chronic Non Specific Low Back Patients (NSLBP) in Clinical Settings. - Mehrdad Davoudi; Seyyed Mohammadreza Shokouhyan; Mohsen Abedi; Narges Meftahi; Atefeh Rahimi; Ehsan Rashedi; Maryam Hoviattalab; Roya Narimani; Mohamad Parnianpour; Kinda Khalaf (Sensors, 2020)

Kinematic Assessment of Turning and Walking Tasks Among Stroke Survivors by Employing Wearable Sensors and Pressure Platform. - Masoud Abdollahi; Pranav Madhav Kuber; Christopher Hoang; Michael Shiraishi; Rahul Soangra; Ehsan Rashedi (EMBC, 2021)

Kinematic Analysis of 360° Turning in Stroke Survivors Using Wearable Motion Sensors. - Masoud Abdollahi; Pranav Madhav Kuber; Michael Shiraishi; Rahul Soangra; Ehsan Rashedi (Sensors, 2022)

Motor-Cognitive Dual-Task Paradigm Affects Timed Up & Go (TUG) Test Outcomes in Stroke Survivors. - Masoud Abdollahi; Pranav Madhav Kuber; Mekayla Pierce; Kara Cristales; Mary Dombovy; Jennifer LaLonde; Ehsan Rashedi (NER, 2023)

Automated Warehouse 5G Infrastructure Modeling Using Variational Autoencoders. - Rahul Singh Gulia; Amlan Ganguly; Andres Kwasinski; Michael E. Kuhl; Ehsan Rashedi; Clark Hochgraf (ISNCC, 2024)

A machine learning model to predict heart failure readmission: toward optimal feature set. - Sonia Jahangiri; Masoud Abdollahi; Ehsan Rashedi; Nasibeh Azadeh-Fard (Frontiers Artif. Intell., 2024)

Fall Risk Assessment in Stroke Survivors: A Machine Learning Model Using Detailed Motion Data from Common Clinical Tests and Motor-Cognitive Dual-Tasking. - Masoud Abdollahi; Ehsan Rashedi; Sonia Jahangiri; Pranav Madhav Kuber; Nasibeh Azadeh-Fard; Mary Dombovy (Sensors, 2024)

Dual Tasking Affects the Outcomes of Instrumented Timed up and Go, Sit-to-Stand, Balance, and 10-Meter Walk Tests in Stroke Survivors. - Masoud Abdollahi; Pranav Madhav Kuber; Ehsan Rashedi (Sensors, 2024)

How Effective Are Forecasting Models in Predicting Effects of Exoskeletons on Fatigue Progression? - Pranav Madhav Kuber; Abhineet Rajendra Kulkarni; Ehsan Rashedi (Sensors, 2024)