Paperdoi:10.1007/s11517-026-03677-y

Development and validation of an integrated wearable system for continuous cardiorespiratory monitoring using photoplethysmography and optical respiratory detection

Venue listed2026Added Sep 26, 2026

  • JR
  • NT
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Authors: Jesús David Ramírez, Nathalia Toro, Juan Manuel Campo, Guido Gómez-Peña, Julián Antonio Villamarín-Muñoz, Jaime A. Mosquera-Sánchez

Medical & Biological Engineering & Computing

TL;DR

Low-cost dual-device system (~$83 single-unit parts): wristband with MAX30105 reflectance PPG (green/red/IR) for pulse-wave / SpO2; chest band with novel optical respiratory detection + MPU6050 IMU; ESP32-C3 BLE/Wi-Fi to mobile + cloud. Offline zero-crossing/dynamic peak HR vs physiograph reference reported with MAPE ~2% and LoA on order ±5 bpm; respiratory RMSE ~1.14 breaths/min in reported press summaries.

  • Form factor: wrist

Abstract

Cardiovascular diseases remain the leading cause of mortality worldwide, with ischaemic heart disease the leading contributor and acute myocardial infarction accounting for the majority of ischaemic heart disease deaths. This study presents the development and technical validation of a low-cost, integrated wearable system for multi-parameter cardiorespiratory monitoring designed to support heart-attack detection algorithms. The system comprises two devices: a wristband incorporating a MAX30105 photoplethysmography sensor for cardiac pulse-wave and SpO

_2

acquisition, and a chest band featuring novel optical respiratory detection and an MPU6050 inertial measurement unit for respiratory rate and movement monitoring. Both devices use ESP32-C3 microcontrollers with Bluetooth Low Energy connectivity to a custom mobile application enabling real-time visualization and cloud-based storage. Validation was conducted against clinical-grade reference equipment (ADInstruments physiograph and EDAN iM8 monitor) in 43 healthy volunteers, yielding 50 acquisitions: 30 at rest and 20 post-physical activity. This is a technical feasibility study in healthy young volunteers; validation in clinical populations remains future work. Heart rate showed the closest agreement with the reference (percentage error ±1.94%,

r=0.99

post-activity; limits of agreement

-6.21

to 4.21 BPM), followed by respiratory rate (±3.47%,

r=0.99

). SpO

_2

error remained within tolerance (1.64% at rest, 2.98% post-activity) but showed weak correlation with the reference owing to range restriction in a healthy cohort, and is not yet suitable for applications requiring absolute saturation values. This study demonstrates that a low-cost, multi-sensor wearable system can achieve accuracy meeting the prespecified feasibility criterion (

$$

5% error) in a healthy young cohort, establishing technical feasibility as a prerequisite to validation in the cardiovascular patient populations for which the system is ultimately intended.

Verbatim from the publisher's DOI record (opens in a new tab) · Publisher licence: https://creativecommons.org/licenses/by/4.0

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Tasks & signals

Tasks

Heart rateSpO₂

Signals

Keywords

optics-hardwareHRRRSpO2MAX30105low-costIoT

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPG, optical respiration, IMU); Wavelengths (green, red, IR); Form factor (wrist). Method: Method. Target: Heart rate; SpO₂.SetupSignals: PPG, optical respiration, IMUSignalsPPG, optical respiration, IMUWavelengths: green, red, IRWavelengthsgreen, red, IRForm factor: wristForm factorwristMethodMethodTargetHeart rateHeart rateSpO₂O₂SpO₂
Wavelengths
green, red, IR

Cite this paper

APA

Ramírez, J. D., Toro, N., Campo, J. M., Gómez-Peña, G., Villamarín-Muñoz, J. A., & Mosquera-Sánchez, J. A. (2026). Development and validation of an integrated wearable system for continuous cardiorespiratory monitoring using photoplethysmography and optical respiratory detection. Medical & Biological Engineering & Computing. https://doi.org/10.1007/s11517-026-03677-y

BibTeX

@article{ramirez2026development,
  title         = {{Development and validation of an integrated wearable system for continuous cardiorespiratory monitoring using photoplethysmography and optical respiratory detection}},
  author        = {Ramírez, Jesús David and Toro, Nathalia and Campo, Juan Manuel and Gómez-Peña, Guido and Villamarín-Muñoz, Julián Antonio and Mosquera-Sánchez, Jaime A.},
  year          = {2026},
  journal       = {Medical \& Biological Engineering \& Computing},
  doi           = {10.1007/s11517-026-03677-y}
}

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