September 18, 2025

From Wearables to Wellness: Real-Time Health Monitoring and Prevention through Deep Learning and Smart Sensors

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Wearable technology enables significant advancements in real-time health monitoring and preventive care.
Deep learning enhances interpretability of bio signals like ECG and PPG, supporting timely health interventions.
Convolutional neural networks and LSTM models improve detection of complex physiological patterns in wearables.
Strategic interdisciplinary collaboration is essential for aligning technology with ethical governance in healthcare.

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Implication

This review demonstrates how deep learning improves predictive capabilities in wearable health technologies, highlighting its role in real-time health monitoring.

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Ali et al. (2025) studied this question.

synapsesocial.com/papers/68d433b8713b0b5dfea736dd https://doi.org/10.54660/ijmer.2025.6.2.35-43

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Implication

This review demonstrates how deep learning improves predictive capabilities in wearable health technologies, highlighting its role in real-time health monitoring.

From Wearables to Wellness: Real-Time Health Monitoring and Prevention through Deep Learning and Smart Sensors

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Implication

Cite This Study

From Wearables to Wellness: Real-Time Health Monitoring and Prevention through Deep Learning and Smart Sensors

Key Points

Discussion

Implication

Cite This Study

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