Inertial Sensors TRIZ Cases

Mobile app detects user and situational states via smartphone sensors to automate cognitive behavioral therapy exposure steps, reducing therapist costs.

Electronic device calculates blood pressure using pulse wave velocity algorithms to determine precise calibration timing for cuffless sensors.

A sphygmomanometer back plate wider than the cuff ensures uniform pressing force across the wrist.

A leadless pacemaker processing unit switches pacing modes to manage intrinsic heart rate changes.

Computer system translates sensor motion data into specific athletic maneuver identifiers for objective evaluation.

Segmented radiation emitters and sensors detect physiological parameters while periodic AI analysis reduces power consumption during real-time monitoring.

A portable body movement monitoring system uses tri-axial accelerometers to detect falls and assess fall risk.

A metabolic monitoring device estimates total energy expenditure by distinguishing aerobic and anaerobic components during exercise.

A chest-worn sensor alignment tool positions a multi-modal monitoring device using a suprasternal notch protrusion.

A removable oral device uses a palatal element to decrease overall oral volume and limit food intake.

A wrist-worn wearable device estimates center of mass acceleration using sensor data.

Flexible intraoral substrate positions photoplethysmography sensors along the maxilla midline to capture cardiorespiratory signals.

Stochastic vestibular stimulation via integrated sensors enhances balance reliability while managing energy consumption through periodic bursts.

A device selects an accelerometer axis with maximal correlation to physiological signal distortion to filter motion artifacts from photoplethysmography data.

An electrocardiographic mat uses capacitive coupling to acquire multi-lead signals while eliminating skin irritation from adhesives and conductive gels.

A physiological metric extractor adjusts an averager impulse response based on motion signal strength to process photoplethysmograph waveforms.

A wearable sensor display activates only when needed to conserve battery power.

A weighted median calculation improves heart rate estimation accuracy by assigning proportional weights to beat intervals.

A holding instrument embraces the user torso to position a gyro sensor for detecting biological information changes.

A subcutaneous implantable sensor measures electrocardiogram signals and pulmonary impedance using integrated electrodes and analog circuits.

A sensor arrangement mode acquisition device selects optimal configurations from a stored database to enhance detection accuracy for specific actions.

Accelerometers detect sensor displacement to calculate attenuation factors that correct optical density readings during patient movement.

A system uses inertial sensors to calculate femoral and tibial mechanical axes for precise prosthetic placement.

Asymmetric ASIC architecture coordinates base and patch chips to resolve power dissipation versus reliability trade-offs in physiological monitoring.

Machine learning algorithms process multi-wavelength hemodynamic signals to deliver clinical-grade respiration rate predictions with confidence scores.

A breathing management mechanism analyzes wearable sensor data to guide optimal respiratory strategies.

Earphone enhancer integrates optical sensor aperture to detect physiological parameters, resolving measurement precision versus device complexity trade-offs.

A stretchable multi-lead ECG patch integrates flexible electrodes with processing circuitry to capture cardiac electrical signals.

Optical detection replaces mechanical resistance to measure tumescence and rigidity, enabling objective erectile dysfunction analysis.

Inertial sensors calculate step width from lateral acceleration data, replacing complex force plates with a cost-effective wearable solution.

Foot pressure and knee rotation sensors feed a portable device that generates real-time gait analysis results.

A flexible hand therapy device uses pressure sensors and wireless transceivers to measure grasp force and orientation during gamified training sessions.

A biaxial movement sensor detects human walking by analyzing dominant frequency ratios between measurement axes.

Adaptive digital filter processes photoplethysmogram signals through sequential stages to reduce motion artifacts.

A spectral analysis of pulse rate and motion data probabilistically estimates sleep stages using wearable sensors.

Implantable sensor tracks shoulder joint center of rotation to detect early rotator cuff degeneration without repeated clinical visits.

A physiological detection device uses multiple light sources and sensors to reduce motion artifacts in analog signals.

A monitoring device determines a transformation matrix using accelerometer data to align its measurement frame with the user's body orientation.

Parallel mini gyroscope tracks on a flexible substrate adjust angular momentum to counteract involuntary shaking.

Multiple posture sensors detect patient position to adjust therapy parameters, resolving manual adjustment needs.

A walking state measurement device estimates floor reaction forces using motion data and lower limb vertical load data.

A wearable photoplethysmogram sensor measures pulse duration and phase differences to detect user emotions.

A heart rate monitor system uses a model unit to predict expected frequency from secondary sensor data.

Adaptive illumination control adjusts light source intensity to enhance eye tracking image quality.

A wearable patch integrates parasternal EMG electrodes with respiratory inductance sensors to quantify neural respiratory drive.

A blood pressure cuff uses guide structures to form controlled wrinkles in the pressing and sensing layers.

A 3D accelerometer detects patient movement to filter signal noise in noninvasive analyte monitoring devices.

A motion sensor detects ballistocardiography signals to identify heartbeat events for cardiac arrhythmia triage in wearable devices.

A faceguard integrates eye tracking sensors to measure vestibulo-ocular reflex and pupillometry for rapid concussion assessment.

Quaternion fusion combines inertial sensor signals to estimate heart rate, eliminating energy-intensive PPG sensors while maintaining measurement precision.