Sensors TRIZ Cases

Motion and vertical-speed cues trigger heart rate sensing earlier during stair climbing, capturing peak data while limiting battery drain.

Patient-specific sub-area selection automates imaging protocol planning, cutting user effort and errors while preserving relevant coverage.

A contact pressure signal from a strain gauge filters motion artifacts in wrist-wearable physiological sensing for more accurate measurements.

Laser dot projection and polarization filtering reduce reflection noise, enabling accurate non-contact skin age evaluation from diffuse light.

A movable optical transceiver checks link quality and repositions near the MRI bore to keep receive coil communication stable without cables.

Integrated active dry electrodes on a flexible skull-fitting support improve EEG signal quality while enabling comfortable self-placement.

Magnetic joint and instrument sensors update patient-specific images in real time, avoiding line-of-sight limits and bulky optical trackers.

A fixed eye target and guided head turns enable in-vehicle nystagmus testing where cabin space limits moving-target exams.

Abdominal bio-potential processing extracts maternal ECG R-wave signals to improve uterine contraction monitoring comfort and reliability.

Adjustable wrist electrodes and motion-sensor feedback target median, radial, or ulnar nerves to adapt tremor therapy across varying anatomies.

A sensor-driven forehead fluid pad adjusts heating or cooling from core temperature changes to reduce bulk and improve personal thermoregulation.

On-demand body contact and a grounded head electrode improve ECG signal quality in wearables while reducing continuous data storage.

Distinct sensor absorption capacities and impedance sensing extend sweat volume monitoring beyond saturation while preserving concentration accuracy.

Combines automated and interactive liver image review to speed tumor quantification while improving segmentation consistency.

Minimum intervals between adjacent slice excitations are calculated and adjusted to limit MRI crosstalk without extending scan time.

Body movement and person-count estimation split vital-index timelines before and after count changes to keep each person's data reliable.

A dual-connection housing combines rigid casing joints with a laminate wrap to prevent accidental disassembly in wearable baby monitors.

An IMU belt fits abdomen shape data to track fetal position, orientation, movement, and growth at home without frequent recalibration.

Through-openings and a textured bonding zone keep microneedles in place on hairy skin while reducing hair pull-out and easing patch replacement.

Capacitively coupled signals through the body enable accurate posture detection with low power use and less sensitivity to noise or clothing color.

Small wearable sensors and a smartphone combine gait signals with ML to predict fall risk in real time without obtrusive hardware.

A layered solid reservoir electrode uses dissolving salt channels to replenish chloride ions and keep reference potential stable in compact sensors.

By tuning elastic pillar hardness at body temperature, this electrode improves scalp followability, lowers contact resistance, and stabilizes biosignal measurement.

Compensates venoarteriolar reflex in plethysmography signals using baseline and reference amplitudes to improve sleep-disturbing event detection.

Timed impedance sensing distinguishes poor skin contact from insufficient wetting in dry electrodes, reducing biological signal measurement failures.

PPG amplitude and phase maps enable non-invasive, real-time blood perfusion monitoring during PAD treatment assessment.

A rigid-flexible patch and detachable microneedle capsule keep skin insertion stable while enabling quick consumable replacement for continuous monitoring.

Integrated force, pressure, and EMG sensing in an oral care mouthpiece enables home monitoring of jaw function for earlier TMJ and occlusion disorder detection.

Gradient-based point selection removes wearable ECG noise while preserving QRS, P, and T wave reference features for reliable diagnosis.

Saliva-based oral sensors replace invasive blood contact to deliver continuous physiological and position monitoring during user activity.

Background command learning and continuous brain-wave recognition improve imagined-speech intent detection and timing for text feedback.

Real-time bio and face analysis drives lighting, scent, and music feedback to improve learner focus and study efficiency.

Heart vibration sensing lets the control unit distinguish chest and limb ECG leads automatically, improving waveform analysis accuracy.

A portable ECG unit pairs with wall, tabletop, or cart docks to save space while keeping upright support and battery charging.

Multiple fixed-focal-length lenses and distance-based image selection expand biometric imaging range without complex focus adjustment.

Synchronized thoracic impedance readings across multiple electrode pairs reduce breathing-cycle error and improve lung assessment accuracy.

Initialization settings are tuned to sensor manufacturing and in vivo conditions to stabilize current faster and improve early glucose readings.

Selective amplification switches to higher bandwidth and sampling only when event thresholds are met, improving detection while limiting current drain.

User-specific pulsation models normalize real-time interval features to detect sudden physical condition changes without ECG.

Wearable heel and knee sensors capture knee flexion, stride, and pressure during daily activity to extend gait analysis beyond the lab.

Automated applicators and optical skin imaging improve allergy test interpretation while reducing time, manual steps, and user error.

A depth camera extracts respiratory waveforms to predict sleep states and AHI without wired probes, improving comfort for home monitoring.

Dynamic PPG channel selection improves wearable blood pressure measurement accuracy while limiting energy use and battery drain.

Smartphone and app usage logs are used to classify circadian rhythms early, avoiding long sleep diaries and costly actigraphs.

Frequency-domain spectral morphology replaces unreliable SNR metrics to quantify biosignal quality for dependable preprocessing.

Combines temperature checking, vibration, sound, and night lighting in one portable baby-care unit for nursery and grab-and-go use.

A dual-mode reradiating tag lets radar isolate and remove stationary-object DC components for more accurate respiration and pulse displacement sensing.

Image-based positioning replaces laser alignment in medical imaging calibration, improving accuracy while reducing cost and safety risks.

A sensor at the brain thermal tunnel terminus enables precise thermal signal analysis for sleep detection and early diagnosis of medical conditions.

Quantified heart cycle variability flags noisy PPG and cardiac signals, enabling automated rejection before cardiovascular assessment.