Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features

Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features

Dynamic oxygen uptake (VO<sub>2</sub>) reflects moment-to-moment changes in oxygen consumption during exercise and underpins training design, performance enhancement, and clinical decision-making. We tackled two key obstacles—the limited fusion of heterogeneous sensor data and inadequate...

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Bibliographic Details
Main Authors: Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
oxygen uptake
deep learning
neural network
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/25/13/4062
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