Kianoosh Kazemi

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU (2024)

International Conference on Bioinformatics Research and Applications

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

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns (2024)

Computers in Biology and Medicine

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

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach (2024)

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? (2023)

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction (2023)

IEEE International Conference on Bioinformatics and Biomedicine, Proceedings (IEEE International Conference on Bioinformatics and Biomedicine)

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

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network (2022)

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability (2022)

PLoS ONE

Sarhaddi Fatemeh, Kazemi Kianoosh, Azimi Iman, Cao Rui, Niela-Vilén Hannakaisa, Axelin Anna, Liljeberg Pasi, Rahmani Amir M.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks (2022)

Sensors

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

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU (2024)

Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns (2024)

Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach (2024)

Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? (2023)

End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction (2023)

PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network (2022)

A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability (2022)

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks (2022)