English

Segmentation of TCD Cerebral Blood Flow Velocity Recordings

Signal Processing 2018-06-27 v1 Medical Physics
Authors: Federico Wadehn , Andrea Fanelli , Thomas Heldt
View on arXiv ↗ PDF ↗

Abstract

A binary beat-by-beat classification algorithm for cerebral blood flow velocity (CBFV) recordings based on amplitude, spectral and morphological features is presented. The classification difference between 15 manually and algorithmically annotated CBFV records is around 5%.

Keywords

cerebral blood flow velocity tcd signal segmentation beat-by-beat classification morphological features

Cite

@article{arxiv.1806.09994,
  title  = {Segmentation of TCD Cerebral Blood Flow Velocity Recordings},
  author = {Federico Wadehn and Andrea Fanelli and Thomas Heldt},
  journal= {arXiv preprint arXiv:1806.09994},
  year   = {2018}
}

Related papers

View all related →
Quantitative Methods · Quantitative Biology
ECG beats classification using waveform similarity and RR interval
Ahmad Khoureich Ka
2011-01-11
Computer Vision and Pattern Recognition · Computer Science
Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks
Ramy Hussein, David Shin, Moss Zhao, Jia Guo +3
2022-11-23
Machine Learning · Computer Science
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks
Patrick Schwab, Gaetano Scebba, Jia Zhang, Marco Delai +1
2020-12-14
Biological Physics · Physics
The Loss of Multifractality in Migraines
Miroslaw Latka, Marta Glaubic-Latka, Dariusz Latka, Bruce J. West
2007-05-23
Signal Processing · Electrical Eng. & Systems
Optimized cerebral blood flow measurement in speckle contrast optical spectroscopy via refinement of noise calibration
Ninghe Liu, Yu Xi Huang, Simon Mahler, Changhuei Yang
2025-06-23
Medical Physics · Physics
A compact and cost-effective laser-powered speckle visibility spectroscopy (SVS) device for measuring cerebral blood flow
Yu Xi Huang, Simon Mahler, Maya Dickson, Aidin Abedi +5
2024-02-12
Signal Processing · Electrical Eng. & Systems
Real-Time Phase Contrast MRI to quantify Cerebral arterial flow change during variations breathing
Pan Liu, Sidy Fall, Serge Metanbou, Olivier Balédent
2022-07-27
Image and Video Processing · Electrical Eng. & Systems
Web Based Brain Volume Calculation for Magnetic Resonance Images
Kevin Karsch, Brian Grinstead, Qing He, Ye Duan
2019-04-24
Image and Video Processing · Electrical Eng. & Systems
Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning
Yiran Li, Ze Wang
2022-06-15
Artificial Intelligence · Computer Science
Brain Vascular Age Prediction Using Cerebral Blood Flow Velocity and Machine Learning Algorithms
Anni Zhao, Alex Bateh, Tyler Baldridge, Sandra Billinger +1
2026-05-19
Machine Learning · Computer Science
VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals
Nabil Ibtehaz, M. Saifur Rahman, M. Sohel Rahman
2019-03-13
Image and Video Processing · Electrical Eng. & Systems
Automatic linear measurements of the fetal brain on MRI with deep neural networks
Netanell Avisdris, Bossmat Yehuda, Ori Ben-Zvi, Daphna Link-Sourani +5
2022-06-30
Medical Physics · Physics
Cerebral blood flow monitoring using a deep learning implementation of the two-layer DCS analytical model with a 512x512 SPAD array
Mingliang Pan, Chenxu Li, Yuanzhe Zhang, Alan Mollins +7
2025-10-20
Computers and Society · Computer Science
ECG Heartbeat Classification: A Deep Transferable Representation
Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
2018-11-06
Medical Physics · Physics
An automated and time efficient framework for simulation of coronary blood flow under steady and pulsatile conditions
Guido Nannini, Simone Saitta, Luca Mariani, Riccardo Maragna +4
2024-08-30
Medical Physics · Physics
Evaluation of the Extension of the Cerebral Blood Flow and its Main Parameters
A. Gersten
2007-05-23
Signal Processing · Electrical Eng. & Systems
Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
Thien Nhan Vo
2025-06-17
Image and Video Processing · Electrical Eng. & Systems
Estimating regional cerebral blood flow using resting-state functional MRI via machine learning
Ganesh B Chand, Mohamad Habes, Sudipto Dolui, John A Detre +2
2019-11-20
Image and Video Processing · Electrical Eng. & Systems
Image-Based Whole-Heart Cardiac Flow Simulations in Health and Congenital Heart Disease
Fanwei Kong, Aaron Brown, Michael Loecher, Perry S. Choi +4
2026-05-12
Machine Learning · Computer Science
Multi-Feature Fusion and Compressed Bi-LSTM for Memory-Efficient Heartbeat Classification on Wearable Devices
Reza Nikandish, Jiayu He, Benyamin Haghi
2024-12-16
Signal Processing · Electrical Eng. & Systems
ECG beat classification using machine learning and pre-trained convolutional neural networks
Neville D. Gai
2022-07-15
Computer Vision and Pattern Recognition · Computer Science
Fast Segmentation of Left Ventricle in CT Images by Explicit Shape Regression using Random Pixel Difference Features
Peng Sun, Haoyin Zhou, Devon Lundine, James K. Min +1
2015-07-29
Image and Video Processing · Electrical Eng. & Systems
Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach
Ariel H. Curiale, MatÍas E. Calandrelli, Lucca Dellazoppa, Mariano Trevisan +3
2022-06-07
Machine Learning · Computer Science
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data
Uli Niemann, Atrayee Neog, Benjamin Behrendt, Kai Lawonn +4
2021-01-01
Artificial Intelligence · Computer Science
Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records
Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix
2021-12-09