Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM.

Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM.

When undergoing or about to undergo a needle-related procedure, most people are not aware of the adverse emotional and physical reactions (so-called vasovagal reactions; VVR), that might occur. Thus, rather than relying on self-report measurements, we investigate whether we can predict VVR levels fr...

Full description

Saved in:

Bibliographic Details
Main Authors:	Judita Rudokaite, Sharon Ong, Itir Onal Ertugrul, Mart P Janssen, Elisabeth Huis In 't Veld
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2025-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0314038
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Classification of User Expressions on Social Media Using LSTM and GRU Models
by: I Gede Putra Mas Yusadara, et al.
Published: (2025-01-01)

KRİPTO PARA FİYATLARININ LSTM VE GRU MODELLERİ İLE TAHMİNİ
by: Meltem Karaatlı, et al.
Published: (2023-03-01)

Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction
by: Neeti Sangwan, et al.
Published: (2025-01-01)

Advanced Network Traffic Prediction Using Deep Learning Techniques: A Comparative Study of SVR, LSTM, GRU, and Bidirectional LSTM Models
by: Wang Yuxin
Published: (2025-01-01)

Breast cancer classification based on hybrid CNN with LSTM model
by: Mourad Kaddes, et al.
Published: (2025-02-01)

A CNN-LSTM-Based Model to Forecast Stock Prices
by: Wenjie Lu, et al.
Published: (2020-01-01)

A comparative analysis of LSTM, GRU, and Transformer models for construction cost prediction with multidimensional feature integration
by: Tang Shi, et al.
Published: (2025-01-01)

A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction
by: Jini Mol G., et al.
Published: (2025-01-01)

Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU
by: Fath U Min Ullah, et al.
Published: (2022-01-01)

Enhancing Sentiment Analysis with a CNN-Stacked LSTM Hybrid Model
by: Shao Shuaijie
Published: (2025-01-01)

An Automatic System for Atrial Fibrillation by Using a CNN-LSTM Model
by: Fengying Ma, et al.
Published: (2020-01-01)

DC-BiLSTM-CNN Algorithm for Sentiment Analysis of Chinese Product Reviews
by: Yuanfang Dong, et al.
Published: (2025-12-01)

Multivariate CNN-LSTM Model for Multiple Parallel Financial Time-Series Prediction
by: Harya Widiputra, et al.
Published: (2021-01-01)

Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM
by: Bo Sun, et al.
Published: (2025-01-01)

Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method
by: Guofeng Ren, et al.
Published: (2020-01-01)

Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion
by: Junwei Ma, et al.
Published: (2025-01-01)

Retracted: Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method
by: null Complexity
Published: (2024-01-01)

Application of CNN-LSTM Model for Vehicle Acceleration Prediction Using Car-following Behavior Data
by: Shuning Tang, et al.
Published: (2024-01-01)

Postural Tachycardia Syndrome and Vasovagal Syncope: A Hidden Case of Obstructive Cardiomyopathy without Severe Septal Hypertrophy
by: Kenneth A. Mayuga, et al.
Published: (2018-01-01)

Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM
by: Kazuki Hebiguchi, et al.
Published: (2025-01-01)

Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT
by: Lal Khan, et al.
Published: (2024-11-01)

A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention
by: Sarita Sahni, et al.
Published: (2025-04-01)

A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion
by: Assila Yousuf, et al.
Published: (2024-06-01)

A CNN-LSTM Phase Compensation Method for Unidirectional Two-way Radio Frequency Transmission System
by: Jiahui Cheng, et al.
Published: (2024-01-01)

Classification of Stages 1,2,3 and Preplus, Plus disease of ROP using MultiCNN_LSTM classifier
by: Ranjana Agrawal, et al.
Published: (2025-06-01)

A Tractor Work Position Prediction Method Based on CNN-BiLSTM Under GNSS Signal Denial
by: Yangming Hu, et al.
Published: (2024-12-01)

Differential diagnostic value of P wave dispersion and QT interval dispersion between psychogenic pseudosyncope and vasovagal syncope in children and adolescents
by: Zifeng Huang, et al.
Published: (2025-01-01)

Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data
by: Wallace Camacho Carlos, et al.
Published: (2024-11-01)

A novel multi-user collaborative cognitive radio spectrum sensing model: Based on a CNN-LSTM model
by: Kai Wang, et al.
Published: (2025-01-01)

Exploiting question-answer framework with multi-GRU to detect adverse drug reaction on social media
by: Jiao-huang Luo, et al.
Published: (2025-02-01)

Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU
by: Dongqing Han, et al.
Published: (2021-01-01)

Propionibacterium acnes Causing Mediastinal Infection following Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration
by: Katherine Janssen, et al.
Published: (2019-01-01)

Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model
by: Qinglong Zhang, et al.
Published: (2022-01-01)

A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN
by: Afuan Lasmedi, et al.
Published: (2025-01-01)

A New Early Rumor Detection Model Based on BiGRU Neural Network
by: Xiangning Chen, et al.
Published: (2021-01-01)

Analysis of Concrete Dam Deformation Prediction Based on the ResNet-GRU-SGWO Model
by: Ning Ma, et al.
Published: (2024-01-01)

CNN-Trans-SPP: A small Transformer with CNN for stock price prediction
by: Ying Li, et al.
Published: (2024-12-01)

Enhancing Stock Price Forecasting Accuracy Using LSTM and Bi-LSTM Models
by: Wang Hao
Published: (2025-01-01)

Driver Takeover Performance Prediction Based on LSTM-BiLSTM-ATTENTION Model
by: Lijie Chen, et al.
Published: (2025-01-01)

DDL R-CNN: Dynamic Direction Learning R-CNN for Rotated Object Detection
by: Weixian Su, et al.
Published: (2025-01-01)