Sensors TRIZ Cases

A stretchable biomedical electrode pad uses flexible connecting wires to maintain continuous skin contact during limb movement.

A reconfigurable local coil uses a field control material to modify electromagnetic field propagation between the sensor and patient.

A combined magnetic resonance positron emission tomography device arranges spatially corresponding signal values in an n-dimensional scatter plot.

Mesh structures maintain communication performance during stretching, resolving frequency shifts caused by skin contact.

A dry EEG electrode uses a rotary closure and vibration element to secure placement on the scalp.

Deep learning segmentation classifies ECG waves and removes noise to resolve the contradiction between detection accuracy and algorithm complexity.

An MRI-compatible head fixation assembly uses a rotatable support frame to secure patient heads across the gantry width.

Machine learning algorithms quantify natural motor variability from neural signals, replacing subjective clinical assessments with objective scalar metrics.

A portable fNIRS sensor detects cytochrome-c oxidase changes to measure brain metabolic activity.

A two-step segregation process using convolutional neural networks reduces false positives in high-frequency oscillation detection.

Segmented biosignal acquisition switches between low-power and high-sensitivity sensors to resolve the trade-off between measurement precision and battery life.

Segmented flexible RF coils conform to patient contours, resolving coupling interactions between movable sections while maintaining structural stability.

An implanted RFID sensor tracks bovine temperature to detect early disease signs and prevent outbreaks.

A stress monitoring system dynamically adjusts sampling rates based on detected physiological markers to optimize data collection.

Galvanic Skin Response sensors detect muscle contractions to trigger white noise playback, reducing infant crying duration and parental stress.

A sleep monitoring system transmits real-time status data to a remote station that generates priority messages for authorized interventions.

Electrodes detect transcranial electrical signals, converting data into user values to classify emotional states without visual observation.

Dynamic R-R interval thresholds discard distorted beats, reducing false positives in atrial fibrillation detection.

An optical resonator with a piezoelectric layer measures grid voltage by detecting reflected light power changes, reducing transformer weight and complexity.

Segmented optoacoustic detection isolates superior sagittal sinus signals to resolve venous arterial saturation ambiguity in continuous neonatal monitoring.

A biosensor applies a voltage waveform to measure current values and determine analyte concentration via turning point detection.

A pillow assembly with a rolling diaphragm maintains constant optical sensor contact with skin.

A seat locking apparatus engages a latching component to secure the movable part, reducing vibrational noise during vehicle operation.

Segmented sub-ROI analysis filters artifact-induced signal spikes from legitimate contrast enhancement, ensuring accurate scan timing.

An ionic polymer bio-electrode composition forms a living body contact layer with stable electric conductivity and strong skin adhesion.

Processor calculates conduction wave velocity between electrode locations to mark abnormal regions on a cardiac map.

Foot sensor data feeds an estimation model that outputs a dynamic balance index, enabling practical frailty assessment outside clinical settings.

Maternal scalp electrodes capture fetal brain signals while filtering interference to enable non-invasive monitoring.

A laminated hydrogel sheet structure controls intermediate base amplitude to achieve uniform adhesive force across the surface.

An MRI array coil employs subcoils with detuned resonance frequencies to resolve magnetic coupling interference and expand the deep sensitivity area.

A risk stratification circuit detects bradycardia burden to assess sleep apnea risk using cardiac data.

Overhanging non-conductive layers encapsulate conductive traces in a multi-layer printed circuit, preventing peeling during garment stretching.

Blood testing apparatus automatically initiates analysis upon test medium insertion in emergency mode.

Vertical axis rotation of the patient table improves physician access during interventions without expanding the compact tunnel structure.

A sensing device calculates object thickness using distance parameters measured by a microcontroller unit.

Vibration stimulation activates somatosensory pathways while ECoG electrodes record cortical signals for high-resolution mapping.

Body electrode uses direction-changing connection portions to adjust electrode placement for comfortable attachment.

An ear-mounted detection apparatus improves signal-to-noise ratio by positioning optical units on specific ear regions.

A reflexive eye movement evaluation device processes interior and exterior video streams to estimate driver gaze relative to the vehicle.

A medical instrument uses X-ray transmission models to guide linear accelerator beams while protecting sensitive radio-frequency coils from radiation damage.

A physiological signal detection device uses a water absorption unit to maintain electrode pad humidity.

An electrostatic discharge shield protects heart activity sensor electrodes on a flexible textile substrate from static interference during exercise.

Synchronized pulsed lasers generate acoustic waves to eliminate physical probe contact and reduce sonographer overuse injuries.

Non-Cartesian k-space acquisition with RF saturation pulses for MR angiography imaging.

Synchronized inertial and physiological sensors resolve interpretation difficulties during movement by correlating cardiac activity with motor capacity.

A physiological waveform display system extracts low and high resolution baseline estimates to generate an adjusted signal for accurate monitoring.

An RFID-equipped dental veneer transmits identification and location data, solving the loss of traditional ID cards for dementia patients.

Segmenting sensor activation reduces power consumption while maintaining detection accuracy in wearable drowsy driver systems.