The near-
infrared wearable
subcutaneous fat metabolism monitoring device comprises a flexible substrate, a multi-
wavelength NIR light source array, a photoelectric
detector, a motion
artifact suppression module, a
wireless transmission unit, a fixing band and a
photonic crystal enhanced
detector, and the flexible substrate comprises a biocompatible layer, an optical window array and a
pressure sensing layer. The
wavelength of the multi-
wavelength NIR light source array is 760nm / 850nm / 930nm / 980nm, the photoelectric
detector is high-sensitivity InGaAs, the motion
artifact suppression module is provided with an embedded
signal processing module, the embedded
signal processing module contains a motion artifact
elimination algorithm, the
wireless transmission unit is BLE5.0, the fixing band is connected with the flexible substrate, and the flexible substrate is connected with the fixed band. A first
subcutaneous fat oxidation characteristic
database based on time-
frequency analysis is established by installing a
fat oxidation dynamic
fingerprint spectrum technology, FODS = summa 850980d [mu] a (
lambda, t) dt.e-j2pif0tdt (f0 = 0.05 Hz) FODS = summa 850980dtd [mu] a (
lambda, t). E-j2pif0tdt (f0 = 0.05 Hz), metabolic oscillation characteristics are extracted through
wavelet-Hilbert transform, and a
metabolic activity quantitative evaluation core
algorithm WO2023 / 123456 is realized.