Inertial Sensors TRIZ Cases

Motion sensors and data interpretation mark epilepsy seizure phases, enabling objective long-term monitoring without invasive electrodes.

Adaptive simultaneous-task assessment measures performance continuously to improve deficit detection, engagement, and assessment efficiency.

Spring elements adapt electrode positions across head sizes while conductive tips and shielding support comfortable, lower-noise EEG.

Passive smartphone gait analysis bridges clinic visits by detecting visual health deterioration and prompting timely alerts.

Electrode-based sweat timing improves individualized sweat loss estimation.

Instrumented footwear captures gait over multiple strides, measuring symmetry and gait signatures for objective treatment assessment.

This sleep system detects accelerometer and EEG sensors, then selects processing modes for flexible, reliable sleep characterization.

Directional signal fusion and filtering suppress motion artifacts while preserving cardiac signals in seismocardiograms and gyrocardiograms.

A wearable PPG sensor varies LED current with ambient light and motion to preserve biometric accuracy while reducing power use.

This case combines optical sensing, posture detection, and aortic valve timing for convenient hydration monitoring during daily activity.

A disposable sheath limits contamination while guided multi-site StO2 averaging reduces contact variability in reusable oximetry.

The optical sensor checks ambient light and motion before StO2 readings, reducing wasted energy and unreliable monitoring data.

Motion sensors in a standard writing instrument feed AI analysis, reducing reliance on specialized tablets for handwriting detection.

The case combines wavelet decomposition and accelerometer-linked ICA to clean physiological signals collected by wearable rings.

Asymmetric coupling aligns sensors across orthopedic implants, enabling one payload form factor for joint-motion data collection.

Thoracic impedance and motion signals enable continuous detection of cardiopulmonary deterioration without routine facility visits.

Thoracic impedance generates exhalation-to-inhalation ratios for continuous remote status-change detection.

Thoracic impedance and inertial sensors enable continuous monitoring of exhalation-to-inhalation time ratios for airway constriction.

A flexible elastomeric sheet embeds multiple electrodes and conductive wires for programmable, localized muscle stimulation.

A sensing unit combines mandibular gyroscope and head accelerometer data to improve sleep disorder detection and movement characterization.

A knee prosthesis embeds removable accelerometer-based electronics to track activity and support early detection of implant loosening.

A wearable ring uses aortic valve opening and closing intervals to assess hydration continuously without clinical equipment.

Selective beacon, GNSS, and LPWAN activation supports indoor-outdoor tracking while machine learning analyzes health data.

Accelerometers rotate earbud motion data into a neutral frame, enabling pose classification and audible head-movement coaching.

A back-worn wireless sensor combines motion and orientation data to detect falls and missed repositioning between scheduled checks.

A headset measures heartbeat-driven cranial motion and analyzes chaos levels for rapid LVO triage without brain imaging.

An ear-wearable monitor activates optical sensors during low-motion periods and rejects corrupted pulses to preserve reliable vital signs.

Removable patch or holster attachment lets one sensor balance continuous ECG data acquisition with patient comfort.

Cross-device correlation preserves physiologic signal continuity during monitor replacement.

Integrated sensors monitor ostomy leaks, stoma temperature, and fill level while supporting drainage and bag inventory tracking.

Motion data enables comfortable, continuous heart rate monitoring during exercise.

Wearable motion and biological sensors use contextual data and adaptive thresholds to improve drink detection and hydration estimates.

Flexible wearable monitoring captures episodic arrhythmias while reducing motion artifacts.

A unified functional layer combines ECG, PPG, motion, and other sensing paths for compact daily physiological monitoring.

A wearable thermal probe conducts skin heat to a nearby sensor for continuous, noninvasive core temperature measurement.

A portable breath monitor uses motion thresholds, image capture, and remote reporting to help resist tampering during vehicle supervision.

Adaptive temporal windows compare offset signal shapes to improve physiological quality indexing across activity changes.

A deep learning architecture combines cardiac and motion data to detect abnormal rhythms during long-term wearable monitoring.

This MRI coil embeds motion sensors for cardiac and respiratory signals, reducing artifacts without separate detection equipment.

Combining motion, gyroscope, barometric, and voice confirmation helps distinguish true falls from sitting or lying down.

Sliding-window and autocorrelation processing turn wrist acceleration into continuous estimates of step and limb-support parameters.

This case sequences preconditioning and IRE pulses to limit muscle stimulation while preserving targeted tissue ablation.

A portable connected IMU measures elbow pronation and supination frequency and acceleration, supporting objective neurological assessment.

The case adapts AF detection to PVC burden, removing PVC events from analysis windows to preserve accuracy and reduce power use.

A wristband, Kalman smoothing, stacked LSTM prediction, and shielding improve glucose detection during EMI attacks.

An integrated sensing unit correlates mandibular rotation and head movement data to improve sleep disorder event detection.

Compare gait cycles visually to reveal irregular steps and symmetry without fixed thresholds.

This case uses foot-mounted inertial units and correlation models to infer pressure lines for real-time gait analysis.

Shape-distance analysis scores each signal segment, helping exclude motion artifacts from physiological parameter determination.

Eye and head motion sensing coordinates brief optotype display to measure VOR function during maximum head acceleration.