ESP32-S3-Based Multimodal Wearable for Remote Vital-Sign Acquisition with ECG-to-PPG Pulse-Arrival-Time Tracking and Functional Cloud Triage: An Engineering Proof of Concept

Continuous remote physiological monitoring requires low-cost sensing nodes to preserve timing fidelity while maintaining secure connectivity and interpretable escalation. This study presents an engineering proof-of-concept platform centered on an ESP32-S3 with AD8232 ECG, MAX30102 PPG/SpO2, and MAX30205 contact-temperature sensing. FreeRTOS separates nominal 100 Hz ECG/PPG acquisition from network communication, and the ECG R-wave-to-peripheral-PPG-foot interval is treated as pulse-arrival time (PAT). Telemetry is transmitted over authenticated HTTPS to a Laravel platform, while a separate FastAPI service provides human-in-the-loop normal/warning/critical functional triage. The current evidence is limited to bench-top engineering operation and synthetically constructed triage scenarios; no human-participant measurements are analyzed or reported. An ethics-approved rest-exertion-recovery protocol has been prepared for a future validation stage. The present results support system integration and engineering feasibility, while physiological accuracy, PAT-to-blood-pressure calibration, respiratory-rate agreement, classifier performance, timing reliability, and battery/power characteristics remain to be established quantitatively.

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Publication Details

Journal
Sensors
Published
2026-09-24
DOI
https://doi.org/10.3390/s26196047
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

ESP32-S3-Based Multimodal Wearable for Remote Vital-Sign Acquisition with ECG-to-PPG Pulse-Arrival-Time Tracking and Functional Cloud Triage: An Engineering Proof of Concept

Mona Mohamed Taha, Ahmed Ali Mohammed Torad, Mohamed Ali Torad, András Attila Horváth et al.
Sensors
Non-Invasive Vital Sign Monitoring
article

ESP32-S3-Based Multimodal Wearable for Remote Vital-Sign Acquisition with ECG-to-PPG Pulse-Arrival-Time Tracking and Functional Cloud Triage: An Engineering Proof of Concept

Mona Mohamed Taha, Ahmed Ali Mohammed Torad, Mohamed Ali Torad, András Attila Horváth, Mohamed Abdelaziz Emam, Hamdy Elsayed Ahmed
article en

Abstract

Continuous remote physiological monitoring requires low-cost sensing nodes to preserve timing fidelity while maintaining secure connectivity and interpretable escalation. This study presents an engineering proof-of-concept platform centered on an ESP32-S3 with AD8232 ECG, MAX30102 PPG/SpO2, and MAX30205 contact-temperature sensing. FreeRTOS separates nominal 100 Hz ECG/PPG acquisition from network communication, and the ECG R-wave-to-peripheral-PPG-foot interval is treated as pulse-arrival time (PAT). Telemetry is transmitted over authenticated HTTPS to a Laravel platform, while a separate FastAPI service provides human-in-the-loop normal/warning/critical functional triage. The current evidence is limited to bench-top engineering operation and synthetically constructed triage scenarios; no human-participant measurements are analyzed or reported. An ethics-approved rest-exertion-recovery protocol has been prepared for a future validation stage. The present results support system integration and engineering feasibility, while physiological accuracy, PAT-to-blood-pressure calibration, respiratory-rate agreement, classifier performance, timing reliability, and battery/power characteristics remain to be established quantitatively.

SensorsVol. 26(19)
Semmelweis University (HU), Princess Nourah bint Abdulrahman University (SA), Kafrelsheikh University (EG), Higher Technological Institute (EG), Jouf University (SA), National Institute of Menthal Health, Neurology and Neurosurgery - Nyírő Gyula Hospital (HU)
Openalex Percentile: Top 21%
Non-Invasive Vital Sign Monitoring
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