Ehsan Rashedi

According to our database, Ehsan Rashedi authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

How Effective Are Forecasting Models in Predicting Effects of Exoskeletons on Fatigue Progression?

Pranav Madhav Kuber, Abhineet Rajendra Kulkarni, Ehsan Rashedi

Sensors, September, 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, May, 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, February, 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

2023

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

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

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

2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

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

Investigating the effect of fatigue on muscle microvasculature blood flow during intermittent isometric contraction.

Nicole S. Nugent, Joseph B. Majeski, Regine Choe, Ehsan Rashedi

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017

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