Abstract

Spectroscopic analysis is essential for identifying optical-based molecular signatures—distinct patterns observed across various wavelengths. Understanding these signatures provides critical insights for designing wearable health-monitoring devices. In particular, constructing three-dimensional (3D) spectroscopic graphs of molecular spectra enables the optimization of multi-wavelength photoplethysmography (PPG) sensors, improving their accuracy and performance. However, no prior work has systematically mapped spectroscopic signatures to optimize wavelength combinations, slowing advancements in multi-wavelength PPG sensor deployment. To address this gap, we introduce OpenSpectro, an open-source spectroscopic profiling platform for visualizing and sharing molecular spectral data, particularly human physiological biomarkers. OpenSpectro features a preliminary spectroscopic database containing 17 biomarkers and a spectral attention optimization model that identifies customized wavelength attention weights for each biomarker.