activity
20232025
most citedPersian Version of Wayfinding Questionnaire

1 citations · 2 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2025

Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset

Akram Shojaei, Mehdi Delrobaei

Chronic obstructive pulmonary disease (COPD) represents a significant global health burden, where precise severity assessment is particularly critical for effective clinical manage…

cs.HC2025

Algorithmic Derivation of Human Spatial Navigation Indices From Eye Movement Data

Sobhan Teymouri, Fatemeh Alizadehziri, Mobina Zibandehpoor +1

Spatial navigation is a complex cognitive function involving sensory inputs, such as visual, auditory, and proprioceptive information, to understand and move within space. This abi…

cs.HC2024

Gait Kinematics in Healthy Participants: A Motion Capture Dataset Under Weight Load and Knee Brace Conditions

Hanieh Moradi, Yas Vaseghi, Arash Abbasi Larki +2

The objective assessment of gait kinematics is crucial in evaluating human movement, informing clinical decisions, and advancing rehabilitation and assistive technologies. Assessin…

cs.HC2024

Electrooculography Dataset for Objective Spatial Navigation Assessment in Healthy Participants

Mobina Zibandehpoor, Fatemeh Alizadehziri, Arash Abbasi Larki +2

In the quest for understanding human executive function, eye movements represent a unique insight into how we process and comprehend our environment. Eye movements reveal patterns…

cs.HC2024★ 1 cited

Persian Version of Wayfinding Questionnaire

Mobina Zibandehpoor, Mehdi Delrobaei

Spatial navigation ability is essential for daily functioning, and the Wayfinding Questionnaire (WQ) is a validated self-report tool assessing this ability through 22 items across…

cs.CR2024★ 1 cited

A Biomechatronic Approach to Evaluating the Security of Wearable Devices in the Internet of Medical Things

Yas Vaseghi, Behnaz Behara, Mehdi Delrobaei

The Internet of Medical Things (IoMT) has the potential to revolutionize healthcare by reducing human error and improving patient health. For instance, wearable smart infusion pump…

cs.HC2023

Towards Cognitive Load Assessment Using Electrooculography Measures

Arash Abbasi Larki, Akram Shojaei, Mehdi Delrobaei

Cognitive load assessment is crucial for understanding human performance in various domains. This study investigates the impact of different task conditions and time constraints on…

eess.SY2023

Preliminary Guidelines for Electrode Positioning in Noninvasive Deep Brain Stimulation via Temporally Interfering Electric Fields

Mobina Zibandepour, Akram Shojaei, Arash Abbasi Larki +1

Advancements in neurosurgical robotics have improved medical procedures, particularly deep brain stimulation, where robots combine human and machine intelligence to precisely impla…

cs.CR2023

Towards Evaluating the Security of Wearable Devices in the Internet of Medical Things

Yas Vaseghi, Behnaz Behara, Mehdi Delrobaei

The Internet of Medical Things (IoMT) offers a promising solution to improve patient health and reduce human error. Wearable smart infusion pumps that accurately administer medicat…

cs.RO2023

A Cost-Effective Test Bench for Evaluating Safe Human-Robot Interaction in Mobile Robotics

Atefeh Fereydooni, Armin Azarakhsh, Ayda Shafiei +2

Safety concerns have risen as robots become more integrated into our daily lives and continue to interact closely with humans. One of the most crucial safety priorities is preventi…