activity
20202024
most citedGSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data

40 citations · 44 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2024

Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach

Seyed Amir Hossein Aqajari, Ziyu Wang, Ali Tazarv +6

In today's fast-paced world, accurately monitoring stress levels is crucial. Sensor-based stress monitoring systems often need large datasets for training effective models. However…

eess.SP2023★ 2 cited

Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings

Seyed Amir Hossein Aqajari, Sina Labbaf, Phuc Hoang Tran +5

Daily monitoring of stress is a critical component of maintaining optimal physical and mental health. Physiological signals and contextual information have recently emerged as prom…

cs.LG2023

Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation

Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari +3

Generative Adversarial Networks (GAN) have emerged as a formidable AI tool to generate realistic outputs based on training datasets. However, the challenge of exerting control over…

cs.LG2022★ 2 cited

Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks

Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari +2

Continuous monitoring of blood pressure (BP)can help individuals manage their chronic diseases such as hypertension, requiring non-invasive measurement methods in free-living condi…

cs.LG2021

An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN

Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, Hadi Khodabandeh +2

A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique widely used in the healthcare domain to extract valuable health-related information, e.g., heart…

cs.LG2021

An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks

Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari +1

Respiratory rate (RR) is a clinical sign representing ventilation. An abnormal change in RR is often the first sign of health deterioration as the body attempts to maintain oxygen…