S. A. H. Aqajari

Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS pdf

Nikil Dutt, Amir M Rahmani, Milad Asgari Mehrabadi, 2020, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study

N. Dutt, S. Salanterä, P. Liljeberg, 2021, JMIR mHealth and uHealth.

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

Amir M. Rahmani, Hadi Khodabandeh, Amir Hosein Afandizadeh Zargari, 2021, ACM Trans. Comput. Heal..

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

Milad Asgari Mehrabadi, Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, A. Rahmani, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Objective Pain Assessment Using Wrist-based PPG Signals: A Respiratory Rate Based Method

Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Amir M. Rahmani, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study (Preprint)

S. Salanterä, P. Liljeberg, Rui Cao, 2020 .

pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity

Nikil D. Dutt, Amir M. Rahmani, Sina Labbaf, 2021, ANT/EDI40.

Multimodal Pain Recognition in Postoperative Patients: A Machine Learning Approach

P. Liljeberg, Michael-David Calderon, P. Liljeberg, 2023, medRxiv.

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

M. Levorato, A. Rahmani, N. Dutt, 2023, medRxiv.