Triple-Wavelength Photoplethysmography for Hemoglobin Machine Learning Applications

Published: 5 August 2025| Version 2 | DOI: 10.17632/8xbbck45tt.2
Contributors:
, Diva Bintang Maharani

Description

Dataset consists of triple-wavelength photoplethysmography (PPG) signal, Hb value, age, and gender. The triple-wavelength of PPG signal was measured by a MAXM86161 module sensor that emitted three types of light (green, red and infrared light) and measured using a photodetector. The Hb value was measured by a Hb meter, Nesco Multicheck 2®. Total of 52 subjects (60% female and 40% male) data were collected. The data were collected at Depok City, West Java, Indonesia. This resource is valuable for researchers advancing non-invasive Hb measurement based on machine learning.

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Institutions

  • Universitas Indonesia Departemen Teknik Elektro

Categories

Biomedical Engineering, Machine Learning

Funders

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