Model-based iterative reconstruction optimizes an objective function using signal models to correct geometric distortions in echo planar imaging.
Client devices extract fitness data via background processes to trigger in-game events.
Automated interpretation of electrocardiogram data from wearable devices resolves review bottlenecks by transmitting timely referrals for irregularities.
A flexible optical fiber coated with a metal layer and insulation enables simultaneous optical coherence tomography imaging and electrical signal recording.
A transdermal alcohol monitor detects environmental interferents using a baseline voltage reading from the fuel cell sensor.
A flexible printed circuit assembly with a movable connector and rigid stiffener absorbs disengagement force during battery replacement.
Integrated treatment planning system generates spatio-temporal projections from respiratory phase separated image series.
Digital rectification converts high-bandwidth optical signals to low-bandwidth digital data, eliminating bulky high-speed cameras for portable brain monitoring.
Pre-scan procedures reduce unwanted coupling between gradient coils and integrated RF/shim arrays, minimizing image artifacts.
A reflective polarizer sets its band edge wavelength above the infrared sensing light to maintain high transmission at oblique angles.
Computing a T1-weighted to T2-weighted ratio map from MRI scans isolates substantia nigra changes.
A method calculates optimal rotation angles for magnetic resonance excitation planes to maintain signal intensity in off-resonant tissue regions.
Digitally assisted low IF transceiver samples IF carrier and signal to eliminate DC offset and reduce phase noise interference.
Mid-field superconducting magnet with passive flux shielding and asymmetric gradient coils for compact ambulance deployment.
Pairing synchronized electrocardiogram and photoplethysmography beats filters noise to generate reliable annotations for machine learning training.
Controlled electrical input signals elicit output responses that reveal biological sample properties without reconstruction.
Advanced MRI techniques detect pH and glycosaminoglycan levels to diagnose painful discs without invasive procedures.
A wearable sensor system calculates real-time risk values by tracking physiological parameters and ambient conditions.
A uniform non-fringing magnetic resonance device uses an RF shielding conduit to block electromagnetic interference and maintain imaging accuracy.
A prediction system converts electrocardiogram data to CSV format and applies continuous wavelet transformation for oversampling.
Determining time to zero force velocity from muscle strength measurements detects disease progression earlier than traditional endpoints.
Segmented inversion recovery steady-state free precession pulse sequence acquires varying tissue contrast image frames during a single breath hold.
An ear-wearable device system identifies high-priority sensor information and delivers audio voice messages directly to the user.
Integrating image-based marker motion detection with vital sign processing reduces false alarms caused by sensor displacement in intensive care units.
Electrode array patch maps gastric activity to resolve overlapping symptom diagnoses and improve diagnostic accuracy.
Structured queries enable mode selection in an analyte meter, resolving the contradiction between data accuracy and ease of operation.
Compact UV light sources enable label-free cortisol detection via microfluidics, reducing cross-reactivity and sample volume requirements.
Electromagnetic waves reflect off soap surfaces to calculate fill levels, replacing labor-intensive manual inspections with automated remote monitoring.
Pre-associated protocol storage reduces manual workload and error rates during medical image diagnosis examinations.
Machine learning model analyzes normal cardiac activity to predict future arrhythmia occurrence and severity.
Entangled biocompatible polymer nanofibers provide stable skin attachment without adhesives, eliminating dermatitis while maintaining permeability.
A head coil send unit moves longitudinally to adjust patient proximity during scanning procedures.
A calibration method identifies resting signal segments to establish a stable reference vector for diagnostic measuring devices.
Hydrogel-based ion-selective electrodes prevent drift and delamination, ensuring reliable sweat electrolyte monitoring under demanding conditions.
A polar coordinate display maps ECG measurement values to heart anatomy positions.
A head-worn system uses spaced brainwave sensors and force determination sensors to detect impacts and monitor electrical activity.
Phase locked loop tracks reflected light frequency to bypass complex independent component analysis algorithms and reduce computational load.
An eyewear device switches lens opacity levels to simulate opioid impairment effects.
Raw data, feature, and decision fusion across multiple sensors improves sleep stage detection accuracy without invasive EEG electrodes.
A statistical display method processes physiological parameter results to simplify medical staff operations.
Removable electrode portions adapt the assembly to pediatric and adult patients, eliminating separate inventory sets.
A wearable device uses photoplethysmographic signals to detect heartbeats and calculate heart rate variability for physiological assessment.
An implantable optical module directs light via beam steering and filters interference through cross-talk features to improve measurement accuracy.
Segmented framework with movable fastening structure reduces installation time and manufacturing cost for MRI systems.
Operational amplifiers buffer high impedance ECG signals from saline-filled catheters to enable precise neonatal positioning.
Computes impedance distributions from magnetic induction fields to resolve ill-posed inverse problems and reduce computational complexity.
A conforming matrix electrode headcap uses an active hydrogel surface to maintain stable electrical contact with the patient's skin.
Segmented coupling and extraction resolve bulkiness trade-offs while maintaining precise urine volume measurement for clinical mobility.
Segmenting fetal heart rate recordings by behavioral state improves result reliability while maintaining non-invasive operation.