This paper is in the following e-collection/theme issue:

Machine Learning (1465) Mobile Health (mhealth) (2939) New Methods (944) Novel Sensors and Data Acquisition Methods in Cardiology (196)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18134, first published .
Machine Learning–Based Signal Quality Evaluation of Single-Period Radial Artery Pulse Waves: Model Development and Validation

Machine Learning–Based Signal Quality Evaluation of Single-Period Radial Artery Pulse Waves: Model Development and Validation

Machine Learning–Based Signal Quality Evaluation of Single-Period Radial Artery Pulse Waves: Model Development and Validation

Authors of this article:

Xiaodong Ding1 Author Orcid Image ;   Feng Cheng2 Author Orcid Image ;   Robert Morris2 Author Orcid Image ;   Cong Chen1 Author Orcid Image ;   Yiqin Wang1 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Ding X, Wang Y, Hao Y, Lv Y, Chen R, Yan H, Rajinikanth V. A New Measure of Pulse Rate Variability and Detection of Atrial Fibrillation Based on Improved Time Synchronous Averaging. Computational and Mathematical Methods in Medicine 2021;2021:1 View
  2. Kumar S, Veer K, Kumar S. A spider tool-based qualitative analysis of machine learning for wrist pulse analysis. Network Modeling Analysis in Health Informatics and Bioinformatics 2022;11(1) View
  3. Huang L, Yan J, Cai S, Guo R, Yan H, Wang Y, Verma N. Automated Segmentation of the Systolic and Diastolic Phases in Wrist Pulse Signal Using Long Short-Term Memory Network. BioMed Research International 2022;2022:1 View
  4. Wang G, Geng X, Huang L, Kang X, Zhang J, Zhang Y, Zhang H. Multi-Morphological Pulse Signal Feature Point Recognition Based on One-Dimensional Deep Convolutional Neural Network. Information 2023;14(2):70 View
  5. Abiri A, Chou E, Qian C, Rinehart J, Khine M. Intra-beat biomarker for accurate continuous non-invasive blood pressure monitoring. Scientific Reports 2022;12(1) View
  6. Stremmel C, Breitschwerdt R. Digital Transformation in the Diagnostics and Therapy of Cardiovascular Diseases: Comprehensive Literature Review. JMIR Cardio 2023;7:e44983 View

Books/Policy Documents

  1. Kumar S, Pooja , Kumar S, Veer K. Machine Learning Algorithms for Signal and Image Processing. View