An electrostimulation circuit delivers simultaneous or offset pulses to selected cardiac sites based on sensed activation timings.
Dual rhythm analysis algorithms in AEDs classify cardiac signals immediately after CPR instructions, reducing shock delivery delays caused by motion artifacts.
Segmented atomizer compartments allow selective heating of distinct substances, eliminating costly replacements and reducing device complexity.
Processor analyzes fiducial points on electrogram signals to detect local tissue latency and adjust AV or VV delays for optimal ventricular synchronization.
Smartphone image analysis extracts color characteristics from test strips to resolve the trade-off between measurement precision and device complexity.
Integrating the battery and electronics module into a single housing reduces feed-thrus, minimizing venous stenosis risk.
An extracardiac jacket with pneumatic bladders assists heart pumping without direct blood contact, reducing clotting risks.
A delivery tool containing a compact implantable medical device uses a grasping mechanism to deploy and secure the unit at the target site.
A hand stimulation device guides users into meditation using stored vibration intensity sequences.
Six electrodes attached at specific body positions calculate an instantaneous heart vector, deriving remaining leads while reducing attachment complexity.
Radial fast interrupted steady-state pulse sequence generates high signal intensity from flowing blood using periodic magnetization resetting.
A controller activates photoplethysmographic sensors at sub-sample resolution to identify signal features before high-resolution reconstruction.
Component rings graph ECG morphology features across multiple leads, resolving the trade-off between detailed cardiac analysis and display complexity.
Electronic control unit calculates predicted lesion depth from complex impedance and power magnitudes during ablation therapy.
Abdominal sensor array detects fetal electrocardiogram signals to resolve the trade-off between measurement precision and device complexity.
Multiple electrodes record electrograms to calculate time amplitude integral scores, identifying heart rotor sites and enabling minimally invasive ablation.
A blood pressure decrease prediction apparatus calculates pulse rate and blood flow volume variations using laser Doppler flowmetry.
Real-time blood oxygen saturation monitoring adjusts oxygen delivery rates, reducing storage weight while maintaining passenger safety.
A garment data storage device stores treatment parameters and electrode information to enable automatic controller configuration.
Sensors detect sleep onset in a pressure support device and issue alerts to resolve patient forgetfulness, improving therapy adherence.
Computational method reconstructs epicardial electrograms from surface ECG data using inhomogeneous tissue modeling.
A mobile ECG recorder uses dry sensors to capture heart electrical conductivity for continuous heart rate variability analysis.
Implantable devices measure intra-atrial conduction delay and P-wave duration to estimate left atrial pressure.
A wavelet transform algorithm analyzes QRS complex morphology to differentiate polymorphic ventricular tachycardia from monomorphic rhythms in implantable devices.
Segmented processing allows the mobile device to detect notable ECG episodes while the central system performs detailed analysis using extensive reference data.
Adaptive detection criteria resolve fixed parameter limitations by increasing slow wave identification and improving deep sleep restoration.
A cup attaching apparatus uses an inclinable supporting plane defined by support pins to hold the lens during attachment.
Retriggerable classification windows detect cardiac signals after pacing pulses to differentiate captured beats from fusion events.
Sensor-driven piezoelectric atomizer adjusts vibration frequency to match respiratory tissue requirements, resolving versatility versus complexity trade-offs.
A diagnostic guidewire integrates mapping electrodes and pressure sensors within a cryoballoon lumen for real-time physiological data collection.
Stabilizes pacemaker polarization signals using controlled pulses during inhibition periods to reduce electrode-tissue interface drift.
A reduced-dimension portion advances through the loop to mechanically lock the catheter, preventing tilting during ablation.
Segmented snap designs with nested studs reduce thickness by 50% to prevent electrical noise during strenuous activity.
A tiered heart monitoring system uses ECG and acoustic sensors to detect myocardial ischemia.
Extract high-frequency ECG components to identify reduced amplitude zones, enabling non-invasive ischemia detection without complex imaging procedures.
A wearable physiologic monitoring ASIC integrates analog filtering and digital control logic to process multi-sensor data.
A ballistocardiogram system estimates aortic pulse transit time using fiducial point intervals without arterial sensors.
A diagnostic system monitors T-wave variability and morphology changes to detect cardiac disorders with higher precision.
A wearable electrocardiography monitor integrates an actigraphy sensor to record movement data alongside cardiac signals.
Hemodynamic sensor feedback optimizes transient atrial pacing parameters, reducing thrombosis risk in the left atrium and stroke likelihood.
Segmented sensor elements on the catheter shaft measure local pressure variations to determine pulse wave velocity without increasing device complexity.