Continuous Short-Term Pain Assessment in Temporomandibular Joint Therapy Using LSTM Models Supported by Heat-Induced Pain Data Patterns
This study aims to design a time-continuous pain level assessment system for temporomandibular joint therapy. Our objectives cover verifying literature suggestions on pain stimulus, protocols for collecting reference data, and continuous pain recognition models. We use two types of pain data acquire...
Saved in:
| Main Authors: | Aleksandra Badura, Maria Bienkowska, Andrzej Mysliwiec, Ewa Pietka |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10680582/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prenatal depression level prediction using ensemble based deep learning model
by: Abinaya Gopalakrishnan, et al.
Published: (2025-12-01) -
Unsupervised profiling of meditation-induced autonomic responses using electrodermal and heart rate variability features
by: Jana Bahrova, et al.
Published: (2025-09-01) -
Estimation of Pressure Pain in the Lower Limbs Using Electrodermal Activity, Tissue Oxygen Saturation, and Heart Rate Variability
by: Youngho Kim, et al.
Published: (2025-01-01) -
ML-Based Pain Recognition Model Using Mixup Data Augmentation
by: Raghu M. Shantharam, et al.
Published: (2024-12-01) -
The Impact of Physiological and Psychological Fatigue on Work Efficiency: A Case Study of Parcel Sorting Work
by: Miaomiao Li, et al.
Published: (2024-09-01)