Electromyography TRIZ Cases

Automated sensor localization lets a wearable EMG controller work from rough placement, reducing setup burden while preserving muscle signal capture.

A bioelectric signal measurement apparatus uses multiple interfaces to detect and remove motion artifacts from skin contact signals.

A processing apparatus analyzes surface electromyography signals from multiple chest locations to determine inspiratory and expiratory phases.

A torque setting apparatus measures rotation angle and angular velocity to calculate dynamic assistance force.

Inflatable esophageal cuff blocks gastric reflux while a nebulizer lumen delivers medication to trigger an involuntary cough reflex.

A wearable device uses shared electrical contacts to measure Galvanic skin resistance and recharge its battery via a dynamic switching mechanism.

A biometric device activates a heart rate sensor via a single user gesture to collect physiological data without interrupting ongoing activities.

Mathematical integration of nerve response waveforms quantifies signal strength to indicate relative nerve health and integrity.

A medical device applies low-level alternating current to muscles via paired electrodes to induce relaxation without triggering contraction.

Targeted muscle reinnervation creates independent EMG channels while adipofascial flaps reduce cross-talk for intuitive multi-degree control.

A neuromonitoring system processes stimulation signals to assess neural function and pedicle integrity during spine surgery.

Electromyogram frequency power spectra analysis detects neurological modulation impairments in muscle activity.

Healthy subject EM signals drive mechanical apparatuses to synchronize with injured subjects, enabling direct neural pathway reconnection.

Voice input and adaptive calorie formulas resolve manual entry friction and metabolic variation inaccuracies.

A monitoring apparatus uses inertial sensors to measure body acceleration and muscle activity for real-time feedback.

Multiplexed electrodes capture electromyography signals while skin impedance measurements calibrate the data to resolve signal cross-talk and motion artifacts.

Alternating polarity magnets maintain stable electrical contact under oscillation forces while enabling easy attachment of the assistive device.

A ring-shaped electrode device secured by an expanded balloon catheter captures bladder sphincter signals, overcoming needle access limitations.

A muscle synergy analyzer calculates antagonistic muscle ratios from myoelectric signals to simplify motion evaluation.

Integrating bladder volume and muscle signals resolves the contradiction between notification reliability and device complexity, reducing false alerts.

A multi-functional limb movement auxiliary device uses novelty detection to switch between sequential and simultaneous estimators.

A robotic system detects user motor intent via neural signals to deliver adaptive physical assistance during rehabilitation exercises.

A nerve stimulation device uses operant conditioning to elicit targeted neural plasticity in specific central nervous system pathways.

Accelerometer detects muscle vibrations for real-time nerve proximity feedback, eliminating complex skin preparation and electrical interference risks.

Portable electronic device captures EMG signals from pelvic floor muscles to provide real-time visual and acoustic biofeedback during exercise routines.

A neural monitoring system detects induced muscle responses by computing mechanical jerk from acceleration signals.

A mechanical probe with a piezoelectric element detects patient contact to trigger electrical response capture for reflex analysis.

A movement analysis apparatus calculates stiffness ellipse, equilibrium point, and muscle synergy using a musculoskeletal model.

EMG sensors measure spectral power changes to objectively assess neural block efficacy without patient cooperation.

A neural interface activity simulator translates motor intent signals into realistic neural recordings for decoding algorithm evaluation.

A wearable fitness system processes physiological data from multiple sensors to deliver real-time exercise adjustments via a mobile host device.

Segmenting neural response traces by morphology and temporal windows isolates F-waves from A-wave interference, enabling accurate automated latency calculation.

Non-invasive perivaginal EMG sensors detect pelvic floor muscle activity to monitor pushing efficacy during childbirth.

A wearable electromyography controller uses automated positional localization to self-select sensor nodes for muscle signal capture.

An intraluminal catheter with electrode pairs detects myoelectric activity in the duodenum to deliver targeted electrical stimulation.

Band-pass filtering and window functions process electrophysiological signals to eliminate processing delays in real-time uterine contraction monitoring.

A sensor system detects player actions and matches projectiles to goals using RFID identifiers.

Electromyography sensors detect ciliary muscle activity to adjust lens power, resolving the trade-off between automatic accommodation and device complexity.

A fuzzy logic control system regulates body temperature by processing multi-sensor data to activate thermal management at precise levels.

Conductive polymer films mediate ligand-receptor interactions via electrochemical potential changes, enabling active control over molecular binding events.

A wearable action-assist device uses biosignal sensors to detect nerve transfer and myoelectricity signals for actuator control.

A control unit selects optimal electrode pairs by comparing signal sizes for reliable measurement.

Multi-position electrodes on the probe body map muscle activity via EMG signals, resolving contradictions between measurement precision and operational ease.

Computer system processes compound muscle action potential values to identify demyelinated nerve pathways via anatomical diagrams.

A three-electrode assembly near the temple captures temporal muscle EMG signals, resolving the trade-off between patient comfort and signal strength.

Segmented orofacial sensors and self-service stimulation assess trigeminal-facial reflexes to resolve low detection precision in premature infants.

Segmented conductive elements arranged in a fixed framework enable differential measurement that cancels half-cell potential and triboelectric interference.

A catheter with a movable sleeve allows independent electrode positioning relative to the elongate shaft.

An involuntary reflex cough test activates paraspinal muscles to measure electromyogram signals and intra-abdominal pressure.

A handheld device induces involuntary coughing to activate paraspinal muscles and correlate electromyogram data with urine leakage time.