Cargando…
Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study
BACKGROUND: In pulse signal analysis and identification, time domain and time frequency domain analysis methods can obtain interpretable structured data and build classification models using traditional machine learning methods. Unstructured data, such as pulse signals, contain rich information abou...
Autores principales: | Yan, Jianjun, Cai, Xianglei, Chen, Songye, Guo, Rui, Yan, Haixia, Wang, Yiqin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569546/ https://www.ncbi.nlm.nih.gov/pubmed/34673537 http://dx.doi.org/10.2196/28039 |
Ejemplares similares
-
Automated Segmentation of the Systolic and Diastolic Phases in Wrist Pulse Signal Using Long Short-Term Memory Network
por: Huang, Lin, et al.
Publicado: (2022) -
Tongue crack recognition using segmentation based deep learning
por: Yan, Jianjun, et al.
Publicado: (2023) -
Tongue Image Texture Classification Based on Image Inpainting and Convolutional Neural Network
por: Yan, Jianjun, et al.
Publicado: (2022) -
Analysis and Recognition of Traditional Chinese Medicine Pulse Based on the Hilbert-Huang Transform and Random Forest in Patients with Coronary Heart Disease
por: Guo, Rui, et al.
Publicado: (2015) -
Machine Learning–Based Signal Quality Evaluation of Single-Period Radial Artery Pulse Waves: Model Development and Validation
por: Ding, Xiaodong, et al.
Publicado: (2020)