Electromyography TRIZ Cases

A mathematical algorithm calculates a single E-index value from surface electromyography data points to quantify muscle activity.

Calculate power ratios between specific frequency bands in electromyographic signals to automate seizure phase identification and reduce manual analysis time.

Segmented motor drive units adjust puncture speed and infusion rate to reduce pain from high-speed spring-based needle insertion.

A risk-of-falling determination apparatus measures anterior and posterior thigh myoelectric potential differences to calculate muscle co-contraction degrees during walking.

Carbon-impregnated polyolefin sensors detect bruxism through piezoresistive effects, resolving signal quality issues in non-lab environments.

Segmented access openings in the torso portion allow reliable sensor monitoring while maintaining user privacy and comfort.

Segmented dilator and retractor components resolve the trade-off between reliable surgical site exposure and reduced patient recovery time.

An embedded multi-electrode array extracts myoelectric signals from residual limb muscles through a flexible prosthetic liner interface.

A non-contact capacitive sensing system uses internal electrodes to detect muscle shape changes without skin adhesion.

An EMG-based seizure detection system uses wavelet transforms to analyze muscle electrical signals for accurate event classification.

A urethral catheter integrates a distributed capacitive sensor array to measure dynamic pressure profiles along the urinary tract.

Electromyographic sensing detects ciliary muscle signals to drive electro-active intraocular lenses, resolving presbyopia by restoring natural accommodation.

A variable-optic ophthalmic lens detects ciliary muscle movement to adjust refractive power automatically.

A wearable device tracks wrist motion using combined electromyogram and acceleration signals to control external equipment.

Abdominal electrode arrays map spatio-temporal uterine electrical activity to resolve labor progress monitoring accuracy against device complexity constraints.

Wireless surface electrode patches acquire myoelectrical signals from the gastrointestinal tract to enable direct motor activity monitoring.

Support ribs inside the casing prevent circuit board warping during molten fill insertion, maintaining manufacturing precision.

A biosignal processing apparatus segments motion artifact removal and baseline estimation to isolate muscle activation signals.

Detects seizure onset by counting signal crossings with hysteresis, reducing false positives without individual calibration.

A cycling system integrates motor power with surface EMG electrodes to detect muscle activity and adjust resistance.

An EMG circuit uses offset removal to rectify signals.

Multi-electrode nerve stimulation apparatus selects optimal electrodes via biomagnetic field measurement, resolving invasive procedure constraints.

A vaginal probe with tactile sensors and electrodes detects muscle responses to guide electrical stimulation therapy.

Clustering neuromuscular signals eliminates manual labeling overhead while extracting force features for accurate gesture recognition.

A wearable device integrates multiple physiological sensors to continuously monitor stress levels through automated data processing.

Wearable wireless patches with electrode arrays profile gastrointestinal electrical activity.

A disposable sensor overlay stabilizes biomedical sensors using flexible component layers.

Bayes-optimal nonlinear filtering handles non-Gaussian data by evolving full probability density functions via Fokker-Planck equations.

A pivotally coupled guide structure mitigates physical strain on internal wiring, enabling reliable electrical coupling during user movement.

A probe anchors in the disk space to guide retractor placement during lumbar spine fusion.

Electrical impedance myography applies multi-frequency signals to muscle tissue for quantitative assessment.

Autonomous vaginal probe detects pressure variations and stimulates muscles, eliminating surgical implantation needs.

A diagnostic system combines surface electromyography sensors with hand-held inclinometers to capture muscle activity and joint angles during patient movement.

A cardiac pulse generator detects phrenic nerve stimulation using patient-specific signal features.

A behavior recognition apparatus selects hand movement data points based on velocity variations to isolate intentional user actions.

A non-invasive electrogastrography system estimates gastric frequency and amplitude using optimized electrode placement.

A nerve mapping system uses electrical stimulation electrodes to detect muscle reactions for calculating precise three-dimensional distances.

A biofeedback garment with embedded sensors provides real-time posture training.