A miniaturized optical biometric sensor captures diffuse reflectance from subsurface tissue to verify identity.
Optical detection of skin moisture verifies microneedle patch adhesion, preventing reduced absorption rates from inadequate contact.
Segmenting detection channels into UV, visible, and infrared ranges overcomes visible-light limitations to reveal subsurface structures like veins or metals.
Graded refractive index in the cover layer suppresses stray light reflection, improving detection accuracy for biological signals.
A physiological monitor uses search and locked modes with a narrow band-pass filter to determine pulse rate from photoplethysmographic signals.
An optical sensor integrates a contact sensor to ensure proper skin coupling during bio-information measurement.
An optical apparatus uses a wavelength-selective inserted layer to separate deep and surface reflected light for biosignal detection.
A dual photosensitive imaging device routes incoming light to separate sensors via a movable optical element for flexible image capture.
A sensor-equipped MRI system analyzes body motion characteristics to adjust k-space data collection and reconstruction processes.
Concentric ring electrodes measure bio-object impedance to determine optical sensor contact quality, reducing noise from poor skin coupling.
A fibre optic plate imaging system uses an angular filter array to guide light and capture high-resolution images.
A signal processing apparatus separates reflected light into illumination and pigment components using multi-wavelength intensity detection.
A digital imaging system records skin green signal intensity under blue light to quantify elastotic material accumulation.
A Michelson interferometer uses a triple angle mirror group to generate invariant lateral shear between partial beams.
Segmenting the sensor into reusable electronics and a disposable non-occlusive barrier resolves skin irritation from trapped moisture.
A compact spectrometer uses a micro lens to collimate light through an aperture, enabling efficient bio-signal detection in portable devices.
Wavelet processing isolates pulse arrival time from noisy wearable sensor data, eliminating hard-thresholding errors.