Inertial Sensors TRIZ Cases

An inertial sensor unit attached near a joint detects bone motion as waveform signals to evaluate movement quality.

A wearable UWB posture measurement system uses time-of-flight and angle-of-arrival data to determine body orientation.

Surface EMG sensors measure muscle electrical potentials to estimate joint moments and compute coactivation parameters for lower limb muscles.

Evaluation unit merges lung function and activity data to predict COPD exacerbations before symptoms appear.

A sleep-wakefulness determination device calculates scalar values from body acceleration vectors to identify user states.

Wavelet analysis of sensor signals identifies phrenic nerve stimulation during pacing, enabling pulse adjustments that reduce unwanted muscle contractions.

Server-side spatial analysis of segmented location data reduces false alarms in animal safety monitoring.

Disposable casings prevent bioburden transfer between subjects while preserving objective movement data for clinical analysis.

Neural network models analyze sleep data to generate quality metrics, replacing expensive expert interpretation with automated assessment.

Wearable devices detect heart rate using photoplethysmogram signals and motion data to filter out noise.

Segmented PCBs distribute PPG sensors around the ring perimeter, improving signal fidelity while managing device complexity.

A posture correction device monitors spatial orientation and provides real-time feedback to guide users toward optimal viewing angles.

An integrated catheter sensor channel houses an implantable segment to prevent kinking while enabling single-site sensing and infusion.

Conformal biosensors measure three-dimensional equine limb motion, replacing subjective visual observation with objective inertial data analysis.

A movement sensor captures numerical descriptors of body motion to identify impairment indicators through automated signal analysis.

Dynamic excitation signal adjustment maintains accurate bio impedance measurements despite patient weight changes or device migration.

A foot angle calculation device uses angular velocity vectors to determine posture and foot orientation angles.

Segmented electrodes conform to complex anatomy while integrated imaging and irrigation prevent collateral thermal damage.

Smartphone inertial sensors measure angular displacement and linear acceleration, resolving measurement precision trade-offs in home-based self-assessment.

Self-calibrating accelerometer axes determine device orientation to resolve motion recognition accuracy trade-offs.

Biomechanical sensors capture dynamic knee joint movement data, enabling objective diagnosis that overcomes static imaging limitations.

A multi-node wearable system combines heart rate estimates from separate sensors to improve measurement precision.

Motion analysis unit processes inertial sensor data to output propulsion force information for each action within a walking or running cycle.

Segmented layers and a plunger activation mechanism resolve the contradiction between multi-parametric measurement accuracy and device complexity.

A wearable device detects blood pressure by measuring light amplitude changes in wrist pulsations.

RF-based proximity alerts prevent observer distraction, ensuring reliable compliance during psychiatric care.

A wearable system estimates deep body temperature using clothing sensors and acceleration data.

A cardiac pacing system detects unwanted stimulation using time-frequency analysis of sensor signals.

A wearable device modulates product recommendations using inertial sensors to detect user motion states.

Motion sensors detect user activity levels to automatically deactivate alarms, resolving interface complexity and cumbersome manual interaction.

Processor circuit merges heart rate and work rate data to detect unmeasurable loads, resolving inaccurate calorie prediction when conventional sensors fail.

Arm swing analysis compensates for center-of-mass trajectory differences to improve velocity measurement precision.

Insole sensors replace bulky motion capture systems to deliver 1-2% accurate gait parameter estimation.

A knee pain risk estimation device extracts normalized walking waveforms to generate a predictive risk index.

A wearable terminal processes acceleration data to quantify brain states using activity duration metrics.

A wearable motion sensor monitors chest wall movement to detect breathing patterns indicative of an overdose event.

A suspended accelerometer sensor detects torso movement to monitor respiration and cardiac function continuously.

A gait perturbation system uses stochastic signals to dynamically adjust treadmill belt speed.

An indwelling coronary sinus probe uses three-axis accelerometers to detect cardiac wall motion changes in real time.

Curved optical fibers between angled printed circuit boards distribute light uniformly across tissue to improve oximetry measurement accuracy.

A handheld near-infrared spectroscopy scanner uses a single transmitter-receiver pair to detect tissue oxygenation levels in real time.

Integrated electrode patch combines EMG and acceleration signals to resolve accuracy-reliability trade-offs in Parkinson's disease monitoring.

A continuous transdermal monitoring system uses an accelerometer to trigger pulse oximeter readings during moments of minimized acceleration.

A wearable motion monitor uses a garment holder to anchor clothing over a light emitter for stable displacement tracking.

Segmented pressure and motion sensors in a smart shoe module minimize noise and battery drain while maintaining precise activity measurement.

A system calculates a stability index by tracking center of mass position and foot pressure distribution on a platform.

A wearable device determines sleep onset using user-specific physiological parameters measured during an initialization stage.

Gravity sensors detect cardiac vibrations on the body surface to generate mechanocardiography signals for precise feature point identification.