A bio-signal quality assessment apparatus extracts periodic signals from raw data to determine a signal quality index based on similarity and variability.
A digital stethoscope uses pre-amplifiers and anti-aliasing filters to convert acoustic vibrations into clean electrical signals.
Integrated earpiece sensors collect physiological and environmental data via wireless networks, resolving bulk and cost bottlenecks in traditional monitoring.
A phonocardiogram signal processing apparatus analyzes captured heart sounds to determine analysis results and confidence values.
Neural networks and wavelet transforms de-noise lung sounds to detect respiratory abnormalities without radiation exposure from CT scans.
Sonic converter shifts ultrasound reflections to audible frequencies, enabling immediate detection of tissue density changes without radiation exposure.
Hearing prosthesis captures audio environments and identifies acoustic biomarkers to adjust stimulation modes.
An implantable sensor detects third heart sounds using dynamic thresholds within cardiac cycles.
A medical attachment device tracking system uses reflectors and light emitters to determine stethoscope location relative to a subject.
Decomposing mixed chest audio signals separates noise from physiological data, resolving low signal-to-noise ratio issues in unobtrusive monitoring.
Sensors integrated into the stethoscope chestpiece detect body contact to enable remote diagnosis.
A dual-filtered hearing protector uses an angular acoustic chamber to shape frequency response and attenuate loud noises automatically.
Multi-stage physiological monitor retrieves calibration data from sensor assembly components to determine patient parameters.
Integrated light source and timepiece enable simultaneous auscultation and vital sign monitoring without tool removal, reducing cross-contamination risk.