Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors
Sleep posture is a key factor in assessing sleep quality, especially for individuals with Obstructive Sleep Apnea (OSA), where the sleeping position directly affects breathing patterns: the side position alleviates symptoms, while the supine position exacerbates them. Accurate detection of sleep pos...
Saved in:
Main Authors: | Giacomo Peruzzi, Alessandra Galli, Giada Giorgi, Alessandro Pozzebon |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/458 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering
by: Thommas K. S. Flores, et al.
Published: (2025-01-01) -
Electric field-assisted embedding of fiber optic sensors in structural materials for structural health monitoring
by: Xinchang Zhang, et al.
Published: (2025-01-01) -
DEVICE FOR CALIBRATION OF THE PRESSURE SENSOR OF GRANULAR BULK MATERIALS
by: A. Zhdanov, et al.
Published: (2024-12-01) -
Service recommendation method based on context-embedded support vector machine
by: Chenyang ZHAO, et al.
Published: (2019-09-01) -
Configurable Multi-Layer Perceptron-Based Soft Sensors on Embedded Field Programmable Gate Arrays: Targeting Diverse Deployment Goals in Fluid Flow Estimation
by: Tianheng Ling, et al.
Published: (2024-12-01)