Sensors TRIZ Cases

Wavelet-processed beta and alpha EEG features quantify time synchronization and valence consistency for objective group monitoring.

Compare magnetic-field readings before and inside the bore to detect sensor errors affecting local coil positioning.

A two-step model uses simulated and in vivo training to improve fetal oxygen measurement while reducing costly data collection.

Nested hinges and individually configurable LEDs help maintain uniform PDT light across contoured treatment surfaces.

Radial chambers and electrowetting move small sweat droplets to sensors faster.

The flexible microelectrode grid keeps recording pads on the organ while its flap moves away, preserving surgical access.

Availability detection hides unavailable icons and highlights essential functions, reducing clutter on compact medical-device screens.

Arch-shaped coil legs wrap the dental arch, improving SNR and coverage while supporting cable-free intraoral MR imaging.

Differently sized protrusions create a constant pressure difference, helping separate pressure artifacts from biological PPG changes.

A vacuum-driven incision and sealed container simplify larger blood draws while reducing injury and contamination risks.

An edge AI platform filters and normalizes PPG signals, discards poor data, and supports real-time blood glucose prediction.

A waterproof portable ECG device supports online or offline collection, while reinforcement learning personalizes lead-level analysis.

Wireless, adjustable electrical stimulation offers noninvasive OSA airway support without cumbersome CPAP infrastructure.

Reflective layers redirect unabsorbed light to photodiodes, preserving sensor capacity.

Waveform analysis predicts erroneous physiological calculations, guiding preliminary notifications and reducing unnecessary user actions.

A reciprocating lancet pierces repeatedly in one activation to reduce pain.

This case uses machine learning to validate device-classified arrhythmias, reducing false episodes, storage burden, and clinician review.

This ECG case combines ANN artifact detection with SQI-based QRS validation to reduce false alarms from contaminated signals.

This case uses PCB-based dielectric microsensors and microfluidics to measure blood permittivity over time for rapid coagulation analysis.

Windowed radar processing improves heartbeat interval detection amid radio-wave noise.

This case uses an in-bowl FMCW radar sensor to identify users from urine-stream properties while limiting interaction and battery use.

Multiple window functions, envelope processing, and Fourier analysis improve radar heart rate detection amid environmental noise.

This MRI structure supports the main magnet while minimizing protrusions for standardized access and simpler installation.

A single integrated pad uses multiplexed electrodes to process single- or multi-lead ECG data while simplifying patient application.

Radar sensing captures respiration and heartbeat without contact or visible-light interference.

Mattress-embedded vibration sensing enables continuous HRV monitoring without electrodes, with processed recovery insights on a user device.

Temperature-sensitive material in a patient form enables real-time MRI detection of superficial RF heating and adaptive scan response.

This case uses septal and endocardial electrodes to sense atrial tissue, target fibrillation, and reduce thrombus risk and battery strain.

This lancing case replaces metal springs with elastomeric propulsion and uses sleeve impact stops to reduce pain during sampling.

3D impedance modeling localizes electrodes without MRI, CT, or dedicated setups.

This eye-tracking system analyzes microsaccade dynamics to assess Alzheimer's disease and mild cognitive impairment progression.

This case uses conductive plastics and one-way detachable interfaces to improve ECG connection reliability in MR environments.

Pre-attached precordial electrodes use wire corrals to prevent tangling and reduce misconnections across patient sizes.

This case uses postural-instability measurements to set the lens meridian angle and reduce motion-related discomfort.

A movable partition separates evacuated chambers, helping equalize pressure faster and reduce shear-stress exposure during blood collection.

Division of MR data acquired at varied flip angles and TR values reduces proton density, T2*, and coil-sensitivity bias in T1 imaging.

Ultrasonic dispersion and drop casting prevent lumping in conductive polymer electrodes.

This case uses segmented electrodes, EMG feedback, and migration modeling to adapt NMES and suppress tremors selectively.

This compact imaging booth guides patient poses, captures multiple body views, and connects results with electronic medical records.

Controlled electrical current disrupts antibiotic-resistant biofilms, reducing bacterial toxins and inflammation in skin treatment.

This case adjusts glucose-monitoring alarms using excursion rates, activation frequency, and analyte levels to support timely intervention.

EMG power, sequence, and time indices evaluate repetitive exercise stability when mechanical measures miss muscle coordination.

This EEG case integrates filtering circuits into flexible support for comfortable, discreet scalp contact and reliable EEG acquisition.

Three dry electrodes measure two ECG signals while removing power line interference.

Subjective CFS readings vary between clinicians; smartphone imaging and deep learning generate standardized staining scores.

UV-guided electrode placement simplifies accurate ECG monitoring with fewer electrodes.

Dual applicators and image analysis automate skin allergy testing for faster, accessible results.

This case compares RR or PP intervals before and during physical loading to personalize pain assessment despite individual variation.

Wearable sensors transform motion data into anomaly features for machine learning that detects falls and supports advance warning.

Plasma treatment bonds multilayer fluorinated elastomers, balancing dense electrodes with tissue-matched mechanics for chronic probes.