Results 161 to 170 of about 337,841 (333)
The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan+2 more
wiley +1 more source
THE EFFECT OF DIGITALIS ON THE NORMAL HUMAN ELECTROCARDIOGRAM, WITH ESPECIAL REFERENCE TO A-V CONDUCTION [PDF]
Paul D. White, Robert Ray Sattler
openalex +1 more source
Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning
A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots with false‐color fill enable transfer lerning, therefore enhancing data augmentation and model explainability across diverse spectral and time series datasets.
Azadeh Mokari+2 more
wiley +1 more source
The Effect of Age and Body Weight on the Electrocardiogram of Healthy Men [PDF]
Ernst Simonson, Ancel Keys
openalex +1 more source
A 10‐convolutional neural network ensemble using transfer learning and layer freezing analyzes 400 Doppler‐ultrasound spectrograms to distinguish speckle, artifact, and ESs. Soft and hard voting drive performance to 96.7% accuracy and 96.5% F1, highlighting a practical route for early embolus detection and stroke‐risk mitigation.
M. Ikbal Karadeli+3 more
wiley +1 more source
The aim of this study was to evaluate, by electrocardiographic analysis, equine cardiovascular adaptations to training based on speed-lactate curve. For this evaluation, eight Arabian horses previously submitted to four months of rest were used.
Raquel Mincarelli Albernaz+5 more
doaj
A mobile robot equipped with a 3D‐printed, noninvasive electrophysiological sensor for real‐time monitoring of tomato plant health based on irrigation levels is presented. The sensor provides high electrical reliability, sensitive electrophysiological signal detection (0.0122 mV), and 86.91% classification accuracy using scalogram images, thereby ...
Yiting Chen+4 more
wiley +1 more source
The Effect of an Ordinary Meal on the Electrocardiogram. Normal Standards in Middle-Aged Men and Women [PDF]
Ernst Simonson, Ancel Keys
openalex +1 more source
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang+5 more
wiley +1 more source