See how combining acoustic and pressure sensors in a mattress reduces false alarms and improves
See how dual-side acoustic and pressure sensors enable automatic snorer side identification and
See how fusing acoustic and pressure sensors in a mattress reduces false alarms from environmen
See how pressure and acoustic sensors with machine-learning classifiers detect heart attacks, a
See how teacher-student model distillation and multi-modal sensing overcome weight ambiguity to
Sensor-driven bed control detects one partner's restless sleep and the other's snoring, then adjusts the sleep environment to reduce disruption.
See how side-edge sensor placement on a bed head panel detects snoring accurately while trigger
See how a smart bed uses acoustic and pressure sensors to detect snoring and restless sleep, ad
See how edge-positioned acoustic sensors detect snoring location and trigger automatic head-pan
See how acoustic sensors detect patient presence on medical overlays by comparing sound pattern
Noninvasive sensors and physiological models estimate cardiac pressure-volume loops, enabling earlier heart health tracking without invasive tests.
Mechanically decoupled acoustic detectors improve signal quality for continuous, noninvasive blood pressure tracking with fewer motion artifacts.
Wireless earplug dosimetry uses dock-based acoustic compensation and wear detection to correct occluded-ear bias and improve noise dose accuracy.
IoT sensor data corroborates stressed caller input to improve emergency likelihood assessment, determinant coding, and dispatch speed.
Integrated ultrasonic sensors in conformal apparel track body motion during twisting and trigger precise haptic feedback without external sensors.
Modulated acoustic signals through the user or consumable enable counterfeit-resistant authentication in aerosol-generating devices.
Real-time detection of suck, swallow, and nipple compression triggers contingent music reinforcement to improve infant feeding behavior.
Real-time organism location data lets LED zones adjust photon intensity, timing, and frequency to trigger desired biological responses.
Centralized grooves, magnetic holding, and built-in charging keep multiple electronic stethoscopes protected, organized, and ready to use.
Multiple sensors track plaque temperature, vibration, motion, and impedance so AI can predict rupture risk earlier than morphology-only assessment.
Fabric and foam layers seal around a PCB to protect body-monitoring electronics while keeping garments flexible and comfortable.
A microphone and accelerometer in a mouthguard link head impacts with abnormal breathing, enabling earlier TBI response after sports trauma.
Synchronized playback of Korotkoff sounds and cuff pressure helps verify systolic and diastolic readings despite noise and subjective judgment.
Combining skin temperature fluctuation and elevated heart rate helps detect infection earlier when fever-only home monitoring can miss cases.
Ear-motion and blood glucose sensing replace manual meal logs to estimate intake time and absorption timing more accurately.
A rotatable planar MIMO radar measures respiration, heartbeat, and temperature from both sides while vibration correction preserves portable accuracy.
Multiple smartphone cameras, microphones, and contact sensing improve physiological measurement accuracy and reliability beyond single-source apps.
On-device ML combines motion and acoustic sensing to detect scratching in real time and trigger haptic feedback without remote analysis delay.
Sensors detect infant sleep states and adjust sound volume to support breathing-risk monitoring and faster caregiver response at home.
Acoustic waveform sensing replaces imaging and catheters to estimate blood velocity and valve operation continuously with less expertise.
Attachable biosensor and display modules retrofit prescription eyewear for accurate everyday eye and vision performance tracking.
Weighted autocorrelation from multiple body-surface recordings improves heart and respiratory rate estimates despite noise and interference.
Passive smartphone sensing compares baseline well-being signals, activates extra sensors when needed, and cuts false alarms in stroke detection.
An ear-worn positional sensor uses gentle audible cues instead of bulky or haptic aids to correct sleep posture and reduce snoring disruption.
Earbud acoustic sensing captures infrasonic and audible ear-canal biosignals to improve home sleep staging and disorder detection with fewer false positives.
A seat-embedded resonator amplifies heart vibrations for non-contact vehicle heart rate sensing with better signal-to-noise ratio.
Digital light encoding and ultrasonic correlation enable portable photoacoustic imaging with lower-cost LEDs or VCSELs while preserving signal quality.
A piezoelectric wearable uses rib-cage sound transmission and wrist operation to detect heart failure without invasive monitoring.
Motion and head-position sensing in a hearing assistance device estimates sensory mismatch and triggers mitigation to reduce motion sickness symptoms.
A piezoelectric vibration sensor filters infant motion and sound to detect breathing or heartbeat stoppage and trigger alerts or stimulation at home.
Stabilized garment electrodes and flexible substrates improve vectorcardiogram accuracy during movement while enabling AI-based real-time cardiac monitoring.
Earbud seal leaks can distort infrasonic hemodynamic signals; this case corrects drift over time for cuff-free in-ear pressure monitoring.
Active speaker-microphone sensing detects breathing and body motion from audio reflections, avoiding specialized monitoring hardware.
Dry sensors anchored at the ears capture cleaner ECG and EOG during strenuous activity without skin prep, improving comfort and wearability.
Correlating microphone audio with PPG heart rate and respiration signals helps confirm true snoring and reject ambient noise while saving battery.
Inertial and acoustic sensing with noise filtering improves subpulse detection accuracy in low-flow states without complex Doppler equipment.
Pretrained speech encoders and segment fusion improve behavioral health screening accuracy while reducing dependence on large labeled datasets.
A flexible membrane drives piezoelectric deflection sensing to deliver compact, accurate long-term cardiovascular pressure monitoring.
Acoustic signals in a sealed ear canal let a hearable detect HRV and blood pressure without extra sensors, reducing size, cost, and power.
Depth-resolved photoacoustic signals separate artery and vein waveforms for more accurate continuous cuffless blood pressure monitoring.
Organism location feedback lets nearby LED lights adjust photon output to trigger desired biological responses while avoiding unwanted effects.
Ear canal pressure patterns let a processor distinguish bruxism from temporomandibular disorders for earlier, non-invasive intervention.
Forward and backward light emission in modular pixel blocks enables compact display integration with accurate blood pressure and glucose sensing.
An oral sensor streams sleep breathing data to a smartphone, enabling low-cost apnea monitoring and mandibular device efficacy checks.
Detecting noise, pressing force, orientation, and phone case interference helps capture clearer abdominal sound recordings.
Camera and audio guidance calibrate mouth shape and phone distance to capture repeatable respiratory samples for home lung testing.