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Related Experiment Video

Updated: Jun 4, 2025

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

A Hybrid Photoplethysmography (PPG) Sensor System Design for Heart Rate Monitoring.

Farjana Akter Jhuma¹, Kentaro Harada², Muhamad Affiq Bin Misran¹

¹Major of Device Science and Engineering, Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 8160811, Japan.

Sensors (Basel, Switzerland)

|December 17, 2024

Summary

This study introduces a novel hybrid photoplethysmography (PPG) sensor for accurate health monitoring. Optimized LED duty cycles and luminous intensity are key for precise heart rate detection and efficient power consumption.

Keywords:

LED duty cycle LED luminous intensity heart rate light-emitting diode (LED)organic photodetector (OPD)photoplethysmography (PPG)

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Last Updated: Jun 4, 2025

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

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Semi-automated Optical Heartbeat Analysis of Small Hearts

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Published on: September 16, 2009

Area of Science:

Biomedical Engineering
Optoelectronics
Wearable Health Technology

Background:

Photoplethysmography (PPG) sensors offer a cost-effective method for measuring vital signs like heart rate, oxygen saturation, and respiration rate.
Existing PPG systems can be improved for enhanced accuracy and efficiency in health monitoring applications.

Purpose of the Study:

To develop and evaluate a hybrid PPG sensor system utilizing a reflective mode with an integrated optoelectronic module.
To optimize the sensor's performance by analyzing the impact of LED duty cycle and luminous intensity on heart rate accuracy and power consumption.

Main Methods:

A hybrid sensor system was designed, combining an inorganic light-emitting diode (LED) and a circular organic photodetector (OPD) in a reflective configuration.
A dedicated driving circuit was implemented for precise PPG signal acquisition.
Fast Fourier Transform (FFT) analysis was employed to process PPG signals for heart rate detection.

Main Results:

The hybrid PPG sensor system demonstrated accurate heart rate monitoring capabilities.
Optimal performance was achieved with a 50% LED duty cycle and a 250 Hz sampling rate, yielding an acceptable error range.
LED duty cycle and luminous intensity were identified as critical parameters influencing both heart rate accuracy and overall power consumption.

Conclusions:

The developed hybrid PPG sensor system provides an effective platform for accurate and efficient health monitoring.
Fine-tuning LED parameters is essential for balancing measurement precision and energy efficiency in PPG-based devices.
This technology holds promise for advancing wearable health technology and remote patient monitoring.