Dynamic signal adaptation resolves measurement inaccuracies caused by individual anatomical variations in non-invasive bladder monitoring.
A single multi-spectral sensor captures reflected light signals from a person and a reference reflector to determine impairment levels.
Iterative adjustment of scalp optical elements improves signal-to-noise ratio for brain tissue analysis.
Short wave infrared imaging detects tissue moisture levels to differentiate burn depths.
Absorbent paper supports allow infrared spectrometers to analyze dried blood samples, resolving liquid handling limitations and reducing laboratory costs.
Replacing bulky high-voltage modules with low-voltage silicon photomultipliers reduces device footprint while maintaining detection sensitivity.
Hidden Markov Model filters motion artifacts from spectrogram data, achieving 15% accuracy improvement.