Cargando…

Contrastive Self-Supervised Learning for Stress Detection from ECG Data

In recent literature, ECG-based stress assessment has become popular due to its proven correlation to stress and increased accessibility of ECG data through commodity hardware. However, most ECG-based stress assessment models use supervised learning, relying on manually-annotated data. Limited resea...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rabbani, Suha, Khan, Naimul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404921/ https://www.ncbi.nlm.nih.gov/pubmed/36004899 http://dx.doi.org/10.3390/bioengineering9080374

Ejemplares similares

Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG
por: Moeyersons, Jonathan, et al.
Publicado: (2021)

Malicious Traffic Identification with Self-Supervised Contrastive Learning
por: Yang, Jin, et al.
Publicado: (2023)

Self-supervised clustering of mass spectrometry imaging data using contrastive learning
por: Hu, Hang, et al.
Publicado: (2021)

A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection
por: Zhou, Jing, et al.
Publicado: (2023)

Detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning
por: Sarkar, Pritam, et al.
Publicado: (2021)

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis
por: Han, Wenkai, et al.
Publicado: (2022)

Instance-Level Contrastive Learning for Weakly Supervised Object Detection
por: Zhang, Ming, et al.
Publicado: (2022)

Contrastive self-supervised clustering of scRNA-seq data
por: Ciortan, Madalina, et al.
Publicado: (2021)

BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data
por: Kostas, Demetres, et al.
Publicado: (2021)

ConMLP: MLP-Based Self-Supervised Contrastive Learning for Skeleton Data Analysis and Action Recognition
por: Dai, Chuan, et al.
Publicado: (2023)

ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches
por: Rahman, Atta-ur, et al.
Publicado: (2022)

ECG-Based Semi-Supervised Anomaly Detection for Early Detection and Monitoring of Epileptic Seizures
por: Karasmanoglou, Apostolos, et al.
Publicado: (2023)

Supervised Contrastive Learning with Angular Margin for the Detection and Grading of Diabetic Retinopathy
por: Zhu, Dongsheng, et al.
Publicado: (2023)

Survey on Self-Supervised Learning: Auxiliary Pretext Tasks and Contrastive Learning Methods in Imaging
por: Albelwi, Saleh
Publicado: (2022)

Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping
por: Ogidi, Franklin C., et al.
Publicado: (2023)

Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies
por: Jacobsen, Malte, et al.
Publicado: (2023)

Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset
por: Lai, Jiewei, et al.
Publicado: (2023)

Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review
por: Liu, Ziyu, et al.
Publicado: (2023)

Self-Supervised Learning to Detect Key Frames in Videos
por: Yan, Xiang, et al.
Publicado: (2020)

Optimizing ECG to detect echocardiographic left ventricular hypertrophy with computer-based ECG data and machine learning
por: De la Garza Salazar, Fernando, et al.
Publicado: (2021)

Self-Supervised Contrastive Learning to Predict Alzheimer’s Disease Progression with 3D Amyloid-PET
por: Kwak, Min Gu, et al.
Publicado: (2023)

Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer’s Disease with 3D Amyloid-PET
por: Kwak, Min Gu, et al.
Publicado: (2023)

A self-supervised contrastive learning approach for whole slide image representation in digital pathology
por: Fashi, Parsa Ashrafi, et al.
Publicado: (2022)

Self-supervised Learning for Semi-supervised Time Series Classification
por: Jawed, Shayan, et al.
Publicado: (2020)

MRI-Based Classification of Neuropsychiatric Systemic Lupus Erythematosus Patients With Self-Supervised Contrastive Learning
por: Inglese, Francesca, et al.
Publicado: (2022)

Contrastive self-supervised representation learning without negative samples for multimodal human action recognition
por: Yang, Huaigang, et al.
Publicado: (2023)

CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning
por: Cho, Kyungjin, et al.
Publicado: (2023)

Anatomy-aware self-supervised learning for anomaly detection in chest radiographs
por: Sato, Junya, et al.
Publicado: (2023)

Robust Keypoint Detection and Matching on Fisheye Images by Self-Supervised Learning
por: Tian, Wei, et al.
Publicado: (2022)

A novel collaborative self-supervised learning method for radiomic data
por: Li, Zhiyuan, et al.
Publicado: (2023)

Motion Vector Extrapolation for Video Object Detection
por: True, Julian, et al.
Publicado: (2023)

Physiological Signal Analysis and Stress Classification from VR Simulations Using Decision Tree Methods
por: Ishaque, Syem, et al.
Publicado: (2023)

Supervised Contrastive Learning and Intra-Dataset Adversarial Adaptation for Iris Segmentation
por: Zhou, Zhiyong, et al.
Publicado: (2022)

Magnetic Tile Surface Defect Detection Methodology Based on Self-Attention and Self-Supervised Learning
por: Ling, Xufeng, et al.
Publicado: (2022)

Deep self-supervised learning for biosynthetic gene cluster detection and product classification
por: Rios-Martinez, Carolina, et al.
Publicado: (2023)

Self-Supervised Action Representation Learning Based on Asymmetric Skeleton Data Augmentation
por: Zhou, Hualing, et al.
Publicado: (2022)

A self-supervised deep learning method for data-efficient training in genomics
por: Gündüz, Hüseyin Anil, et al.
Publicado: (2023)

SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing
por: Pan, Shaojun, et al.
Publicado: (2023)

Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras
por: Garcea, Fabio, et al.
Publicado: (2022)

Self-Supervised Chinese Ontology Learning from Online Encyclopedias
por: Hu, Fanghuai, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_gqqpe0dof95hfn94jj1kpplp6a