Thermal Noise, Non-invasive Diagnostics, Infrared Sensor, Terahertz," />
Thermal Noise, Non-invasive Diagnostics, Infrared Sensor, Terahertz,"/>
Thermal Noise, Non-invasive Diagnostics, Infrared Sensor, Terahertz
,"/>
Journal of Bionic Engineering ›› 2025, Vol. 22 ›› Issue (5): 2338-2353.doi: 10.1007/s42235-025-00749-x
Meir Israelowitz1; Birgit Weyand2; Gerd Schmitz3; Moritz A. Kuhnke4; Sabine Bohlmann5; W. H. Syed Rizvi1; Alexander Bediukh6; Herbert P. von chroeder1,7; Peter M. Vogt2; Matthias Reuter8
Meir Israelowitz1; Birgit Weyand2; Gerd Schmitz3; Moritz A. Kuhnke4; Sabine Bohlmann5; W. H. Syed Rizvi1; Alexander Bediukh6; Herbert P. von chroeder1,7; Peter M. Vogt2; Matthias Reuter8 #br#
摘要: Detecting and distinguishing infrared radiation for non-invasive medical
diagnostic purposes has been attempted for basic surface temperature
assessment since the middle of the 20th century. However, the long
wavelength and low energy of infrared radiation impede the detection of
signals from deeper tissue layers, significantly limiting its use in
diagnostics. To overcome these limitations, a novel approach was
developed by combining a semiconductor gallium arsenide chip and
prism-based optics that enabled the detection of signals in the infrared
and terahertz spectrum. Challenges related to penetration depth and
thermal noises were addressed by neural network modelling.