Mikael Henriksson

Orcid: 0000-0001-5697-2122

According to our database1, Mikael Henriksson authored at least 15 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements.
Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Multi-Stream FFT Architectures for a Distributed MIMO Large Intelligent Surfaces Testbed.
Proceedings of the 2024 IEEE Nordic Circuits and Systems Conference (NorCAS), 2024

APyTypes: Algorithmic Data Types in Python for Efficient Simulation of Finite Word-Length Effects.
Proceedings of the 31st IEEE Symposium on Computer Arithmetic, 2024

2023
Streaming Matrix Transposition on FPGAs Using Distributed Memories.
Proceedings of the IEEE Nordic Circuits and Systems Conference, 2023

2021
Modeling and Estimation of Temporal Episode Patterns in Paroxysmal Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2021

2020
Short-term reproducibility of parameters characterizing atrial fibrillatory waves.
Comput. Biol. Medicine, 2020

Model-Based Characterization of Atrial Fibrillation Episodes and its Clinical Association.
Proceedings of the Computing in Cardiology, 2020

An Architecture for Grant-Free Random Access Massive Machine Type Communication Using Coordinate Descent.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2018
Model-Based Assessment of f-Wave Signal Quality in Patients With Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2018

Letter regarding the article "Detecting atrial fibrillation by deep convolutional neural networks" by Xia et al.
Comput. Biol. Medicine, 2018

Atrial fibrillation frequency tracking in ambulatory ECG signals: The significance of signal quality assessment.
Comput. Biol. Medicine, 2018

Quantitative Evaluation of Temporal Episode Patterns in Paroxysmal Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2018

2017
Signal Quality Assessment of F-waves in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017

2016
A Statistical Atrioventricular Node Model Accounting for Pathway Switching During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2016

2015
A Statistical Model of the Dual Pathway Atrioventricular Node during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015


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