Kianoosh Kazemi

According to our database, Kianoosh Kazemi authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Respiration Rate Estimation via Smartwatch-based Photoplethysmography and Accelerometer Data: A Transfer Learning Approach.

Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2025

TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis.

Ziyu Wang, Elahe Khatibi, Kianoosh Kazemi, Iman Azimi, Sanaz R. Mousavi, Shaista Malik, Amir M. Rahmani

CoRR, March, 2025

Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach.

Kianoosh Kazemi, Iman Azimi, Michelle Khine, Rami N. Khayat, Amir M. Rahmani, Pasi Liljeberg

CoRR, February, 2025

Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation.

Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

Comput. Biol. Medicine, 2025

2024

Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns.

Kianoosh Kazemi, Arash Abiri, Yongxiao Zhou, Amir M. Rahmani, Rami N. Khayat, Pasi Liljeberg, Michelle Khine

Comput. Biol. Medicine, 2024

Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach.

Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU.

Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings?

Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction.

Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, Pasi Liljeberg

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks.

Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

Sensors, 2022

PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network.

Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022