Fast QRS detection with an optimized knowledge-based method: evaluation on 11 standard ECG databases.
about
TERMA Framework for Biomedical Signal Analysis: An Economic-Inspired Approach.Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension--Daubechies Wavelets Approach.Efficient ECG Compression and QRS Detection for E-Health Applications.Detection of a and b waves in the acceleration photoplethysmogramSystolic peak detection in acceleration photoplethysmograms measured from emergency responders in tropical conditions.Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.Set-Based Discriminative Measure for Electrocardiogram Beat Classification.Fast T Wave Detection Calibrated by Clinical Knowledge with Annotation of P and T Waves.A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals.Eventogram: A Visual Representation of Main Events in Biomedical Signals.Brain-heart interactions reveal consciousness in noncommunicating patients.An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm.Improving Remote Health Monitoring: A Low-Complexity ECG Compression Approach.Merging Digital Medicine and Economics: Two Moving Averages Unlock Biosignals for Better Health.Performance Analysis of Ten Common QRS Detectors on Different ECG Application Cases.Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak Detector.A new approach for analysis of heart rate variability and QT variability in long-term ECG recording.Wearable Current-Based ECG Monitoring System with Non-Insulated Electrodes for Underwater ApplicationHypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database
P2860
Q30366307-3D215D73-7207-4894-A5DE-2161D95610C4Q30396517-4BF3DF3E-8DB2-4AFF-81D8-FBAF935A2689Q33673726-2A3F1C01-DEA2-4D4E-9707-A84FA7213014Q34308996-F6BDE47F-C6B2-4F84-9A0A-2A9836F4B515Q34380897-0746AAB4-5FF9-4319-B17D-AE36E1C4185EQ34396976-9D34606E-94D1-4689-AA61-320BAEED535BQ37679430-A59A570C-5CF6-4C72-AC9F-5B5F4AD33949Q40298637-450E0E89-4751-4E4D-A9FC-FB40BF31A211Q41704481-50E76262-9EE2-405F-AA9E-076E78EF4723Q41704503-E764E069-FDF3-4112-8BF3-CC12B8369D84Q42689606-BD7D3AE3-27FF-4492-9333-3FD091DEC9D2Q43379158-F1E98978-DAF5-41D1-A9B4-E861B37615F3Q47562739-CC77B5B4-D8FC-4A3F-B485-6E8BBB25ECDCQ47566522-6A2CD64D-0A2A-45BC-9422-F4DDDD1784A0Q54940430-24D060C4-A824-4B8C-BF1B-CC4BE3CF6C8DQ55167295-38E85805-F953-430D-9776-07FDD0475B19Q55214600-2664587D-E8EF-4745-8A80-70B43D7784DFQ57610186-A17E9B06-2FFA-4D4E-8749-A41798A0B07FQ58753430-1E4DFE9D-0CD2-4C32-A3DF-9DD7011563C4
P2860
Fast QRS detection with an optimized knowledge-based method: evaluation on 11 standard ECG databases.
description
2013 nî lūn-bûn
@nan
2013 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@ast
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@en
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@nl
type
label
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@ast
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@en
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@nl
prefLabel
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@ast
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@en
Fast QRS detection with an opt ...... on 11 standard ECG databases.
@nl
P2860
P1433
P1476
Fast QRS detection with an opt ...... n on 11 standard ECG databases
@en
P2093
Mohamed Elgendi
P2860
P304
P356
10.1371/JOURNAL.PONE.0073557
P407
P577
2013-09-16T00:00:00Z