Research output per year
Research output per year
Personal profile
Research areas
- Machine Learning
- Health Data Science
- Deep Learning
- Medical AI
- Biomedical Signal Processing
- Evolutionary Computation
- Anomaly Detection
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Dive into the research topics where Abdolrahman Peimankar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country level. Dive into details by clicking on the dots or
Research output
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DENS-ECG: A deep learning approach for ECG signal delineation
Peimankar, A. & Puthusserypady, S., 1. Mar 2021, In: Expert Systems with Applications. 165, 113911.Research output: Contribution to journal › Journal article › Research › peer-review
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A deep learning approach for real-time detection of atrial fibrillation
Andersen, R. S., Peimankar, A. & Puthusserypady, S., Jan 2019, In: Expert Systems with Applications. 115, p. 465-473Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram
Peimankar, A. & Puthusserypady, S., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. IEEE, p. 1284-1288 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access -
Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning
Peimankar, A., Jajroodi, M. J. & Puthusserypady, S., Oct 2019, Proceedings of the TENCON 2019: Technology, Knowledge, and Society. IEEE, p. 383-388 8929348. (IEEE Region 10 Annual International Conference, Proceedings/TENCON, Vol. 2019-October).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Ensemble learning for detection of short episodes of atrial fibrillation
Peimankar, A. & Puthusserypady, S., 29. Nov 2018, 2018 26th European Signal Processing Conference (EUSIPCO). European Signal Processing Conference, EUSIPCO, p. 66-70 (European Signal Processing Conference, Vol. 2018-September).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Activities
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Healthcare Technology Letters (Journal)
Abdolrahman Peimankar (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
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IEEE Journal of Biomedical and Health Informatics (Journal)
Abdolrahman Peimankar (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
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I E E E Transactions on Automation Science and Engineering (Journal)
Abdolrahman Peimankar (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Network Modeling Analysis in Health Informatics and Bioinformatics (Journal)
Abdolrahman Peimankar (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Sustainability (Journal)
Abdolrahman Peimankar (Peer reviewer)
2020 → …Activity: Editorial work and peer review › Peer review of manuscripts › Research
Teaching & Supervision
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SmartRhythm - Can computers diagnose cardiac diseases?
Abdolrahman Peimankar 01/02/2021 → 01/06/2021
Course: Supervision
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How can machine learning help diagnose feet?
Abdolrahman Peimankar 01/02/2021 → 01/06/2021
Course: Supervision
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Activities classification using machine learning
Abdolrahman Peimankar 01/02/2021 → 01/06/2021
Course: Supervision
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Prediction of energy expenditure in children and adolescents
Abdolrahman Peimankar 01/09/2020 → 01/06/2021
Course: Supervision
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