Inertial Sensors TRIZ Cases

A wearable device with multiple electrodes detects maternal and fetal biopotential signals through electrical conduction in biological tissues.

A continuous transdermal monitoring system detects minimized acceleration moments to trigger pulse oximeter readings.

Replacing subjective clinical scales, this wearable system uses force sensing and inertial measurement to objectively quantify spastic hypertonus severity.

Wireless power transmission energizes passive RFID tags, enabling neural network models to predict baggage path deviations and reduce loss.

Accelerometer detects sleep state to adjust intensity, preventing electrode peeling risks and thermal burns during nighttime use.

A wearable posturographic evaluation system integrates triaxial accelerometers with an IoT load cell platform for comprehensive motion analysis.

Automated ear-worn sensors detect mastication and swallowing patterns, replacing manual food diaries with passive tracking.

A photoplethysmography system measures non-pulsatile blood volume changes using proximal optical sensors to isolate physiological signals.

Replacing gyroscopes with a thermal air flow sensor eliminates energy consumption while maintaining precise fall detection reliability.

A floating attachment mechanism isolates an optical cardiac sensor from gripping forces on a sports equipment handle.

Lateral sensors on a mattress detect patient movement through the Poisson effect, eliminating skin contact risks.

A medical device system uses a single axis accelerometer to detect patient steps through moving window signal rectification.

A phrenic nerve stimulation detector calculates a dynamic baseline level from sampled physiological signals to identify pace-induced capture events.

A computer system generates a biological signal time series and corrects it using motion data to estimate user emotion.

A processing system calculates multi-axis stride index values to identify normal walking sections from sensor data.

Frequency-domain plethysmogram analysis combined with accelerometer motion cancellation filters artifacts to improve measurement precision.

Multi-modal sensing reduces false alarms in cardiac arrest detection, ensuring prompt notification of first responders with GPS location data.

Motion-based engagement thresholds validate sensor data quality, preventing erroneous readings from improper wear while maintaining user comfort.

A determination device acquires biological information including heart rate to assess laborer health risk using a stored model formula.

Segmented sensors in a non-permeable catheter body prevent oxygen loss, resolving the trade-off between measurement precision and device stiffness.

An evaluation module filters secondary passive arm movements from raw sensor data, enabling accurate measurement of specific limb activity levels.

Multi-frequency receiver coils distinguish respiratory signals from electromagnetic interference, improving sleep apnea diagnosis accuracy.

A pen-shaped device uses a two-coordinate force transducer to measure contact pressure and angle during electrical skin resistance testing.

A distributed wireless system segments electromyography acquisition into modular front-end units synchronized by a central base station.

Triaxial angular velocity sensors extract respiratory waves from motion data, reducing human movement disturbance.

A wearable device estimates instantaneous oxygen saturation using photoplethysmography and inertial sensors.

Acceleration sensors detect patient motion to generate trigger signals that reduce image acquisition time and improve quality.

Segmenting intrinsic and pace-initiated heart beats filters transition noise from motion sensor readings, enabling accurate rate-responsive pacing adjustments.

A signal processing system isolates target heart rate frequencies from motion interference using frequency domain analysis.

Processor defines a two-dimensional arm swing plane from wrist acceleration to detect cyclic motion and calculate the elbow bending angle.