Keyphrases
Electrocardiogram Signal
100%
Atrial Fibrillation
100%
Low Power Microcontroller
100%
Atrial Fibrillation Detection
100%
ECG Signal
66%
Input Signals
66%
Signal Length
66%
Statistical Significance
33%
Electronic Devices
33%
Classification Accuracy
33%
Sensitivity Specificity
33%
Microcontroller
33%
Feature Selection
33%
Threshold Local Binary Pattern
33%
Machine Learning Classification
33%
Step Dynamics
33%
Dynamic Threshold
33%
MIT-BIH Database
33%
Variable Step
33%
Low Power
33%
Highly Accurate
33%
Support Vector Machine Classifier
33%
Low-cost Wearable
33%
Machine Learning Models
33%
C Program
33%
Medical Electronics
33%
Average Current
33%
Constrained Resources
33%
Smart Medical
33%
Flash Memory
33%
Local Binary Pattern Algorithm
33%
Cortex-M4
33%
Model Size
33%
PC-based
33%
Clock Frequency
33%
Reduced Inputs
33%
Power Constrained
33%
Microprocessor
33%
Current Consumption
33%
Embedded C
33%
Computer Science
Support Vector Machine
100%
Microcontroller
100%
Feature Selection
50%
Classification Accuracy
50%
Classification (Machine Learning)
50%
C Program
50%
Flash Memory
50%
Clock Frequency
50%
Local Binary Pattern Algorithm
50%
Feature Extraction
50%
Machine Learning
50%
Learning System
50%
Engineering
Microcontroller
100%
Atrial Fibrillation
100%
Input Signal
40%
Input Feature
40%
Feature Size
40%
Learning System
40%
Wearable Sensor
20%
Feature Extraction
20%
Local Binary Pattern
20%
Classification Accuracy
20%
Clock Frequency
20%
Arm Cortex
20%
Flash Memory
20%
Medical Electronics
20%
Support Vector Machine
20%
Microprocessor
20%
Chemical Engineering
Learning System
100%
Support Vector Machine
50%