Sensors TRIZ Cases

A wrist-worn electronic device generates electrocardiogram waveforms using conductive bezel and underside contact points.

Segmenting EEG signals isolates cardiac artifacts from brain activity, resolving measurement precision errors caused by overlapping physiological interference.

A sensor device generates electromagnetic radiation to measure dielectric spectra of blood media for non-invasive analysis.

A sensor assembly applies an electric field to remove non-specifically-bound species from a sensing element.

A compact lancet pricking device integrates the needle and launching spring within a holder to simplify structure.

Segmented transmit-and-receive coils free central magnet space, positioning the target zone at the rotational axis of the radiotherapy source.

A wearable ambulatory monitor positions electrodes along the sternal midline to capture cardiac electrical signals.

A single-use electrode patch measures heart activity and broadcasts data to external devices via electromagnetic induction.

Spectral analysis of muscle signals differentiates normal, tired, and passive involuntary tension states to guide exercise recovery.

Segmented horizontal lines visualize EEG artifacts to reduce analysis time while maintaining detection precision.

Real-time display sizing adjusts patient sectors by acuity priority, eliminating manual reconfiguration and reducing practitioner interaction time.

Dynamic LED control uses signal quality metrics to extend battery life while preserving photoplethysmography accuracy in motion.

An analyte monitoring device uses an input-output expander to increase microprocessor pins for efficient data reception.

Transmission laser speckle imaging quantifies gingival blood flow using optical scattering patterns captured by a miniature dental probe.

Thrust bearings support axial magnetic loads while a rotary table provides unimpeded radiation therapy and surgical access.

An ECG analysis system detects artifact signals by segmenting waveforms and applying targeted transformations to isolate physiological noise.

Asymmetric placement of a passive strain gage near a rigid element compensates for environmental errors while maintaining user comfort.

Structured testing method constructs personalized glucose assessments using patient-selected contextual criteria.

A blood glucose meter integrates a strip cartridge with a linear knob mechanism for precise test strip advancement.

Multi-echo temporal sampling disambiguates MRI phase measurements, eliminating unwrapping artifacts and reducing computation time.

A head-dedicated MRI device uses a local coil and vibration absorber to enhance imaging quality.

A conductive composite electrode uses MXene particles bonded to a hydrophilic polymer.

Hydrophobic polymer and nanowire wiring prevent swelling and signal loss during wet conditions.

A blood analysis device uses a replaceable module for automated sampling and parameter detection.

A self-aligning sweat sensing device uses abrasion-protected sensors to maintain intimate proximity with skin for continuous biomarker monitoring.

An under-display optical sensor uses the electronic display as a light source to detect reflected signals from skin.

A CPR feedback system generates real-time visual metrics from sensor data to guide rescuers during chest compressions.

A semiconductor processor analyzes facial expressions to produce cognitive state information for vehicle component manipulation.

Stand-alone phantom measurements calculate correction functions that fix T1 map errors, resolving positioning bottlenecks in clinical MRI workflows.

Vertical electrode movement ensures reproducible posture, resolving the trade-off between measurement reliability and ease of operation.

An insole integrates pressure and temperature sensors directly into the sole structure to monitor foot conditions.

An ultra-low-field nuclear-magnetic-resonance device detects myocardical electrical activity using proton spin alignment.

Functional elements signal vital parameters non-verbally through visual, audible, and haptic means to reduce driver cognitive load.

A wearable heart rate monitoring device adjusts frequency search windows based on detected activity types to estimate accurate pulse rates.

Segmenting k-space acquisition into transient and steady states reduces scan time while improving spatial resolution and contrast-to-noise ratio.

A wearable wristband with an embedded pulse sensor and e-SIM sends automated alerts to contacts when the wearer's heartbeat stops.

A DSP divides digital signals into vital and non-vital groups to isolate meaningful data.

A respiratory therapy system identifies user body position using airflow data features and a control processor.

Pre-characterized gradient field lookup tables correct RF pulse offsets, resolving slice positioning inaccuracies caused by magnetic field non-linearity.

Elastic member absorbs impact energy from moving parts, minimizing force transmitted to skin during puncture.

A pressure detection unit collects footfall data to determine biological age for companion animals.

A magnetic-resonance imaging model learns undetermined parameters from sample data to generate images from under-sampled K-space.

An implantable device segments monitoring time into distinct activity and rest periods to calculate heart rate variability from basal data only.

A convolutional neural network predicts body appendage positions using real-time electrocardiogram data.

A carbon dioxide sensor measures cutaneous partial pressure of carbon dioxide to assess tissue perfusion.

Movable cameras track subjects while a controller manages feeds to maintain continuous recording without losing anatomical detail.

A magnetic resonance imaging device segments frequency bands with overlapping bandwidths to generate composite images.

A C-shaped head fixation device relocates adjustment mechanisms to the base, preserving radiolucency in the imaging field.

Multi-coil receiver arrays shift spectral signals to separate metabolite and water images without extending measurement time.

A vehicle monitoring system integrates EKG and EEG sensors to detect driver physical conditions in real time.