2005 · 12 citations · 6 references
EngineeringBiomedical EngineeringHealth InformaticsBiomedical Signal ProcessingBiosensorsElectrophysiologyCardiac Signal ProcessingCardiovascular MonitoringElectrocardiogram AnalysisElectrocardiographyVital SignsVital Signs AssessmentCardiac Monitoring SystemsEcg Feature ExtractionElectrocardiogram Feature ExtractionHealth CheckingHome Monitoring Vital SignsP-wave DetectionQrs Complex DetectionT Wave Detection
Automatic ECG QRS complex detection has been widely studied and used over the past decade. Although QRS complex is the most prominent feature in ECG and can provide useful information about the heart status, other parts of the ECG (P-wave, T-wave, etc) are also significant in determining the health status. Recently, researches for P-wave and T-wave detection algorithms started to appear but a parameter extractor in obtaining most essential ECG parameters (PQRST) is still not very popular. Considering that all these can be integrated together, we propose an Intelligent Home Health Care Embedded System (IHHCS) with essential ECG parameters extraction that can provide diagnosis about health status of patients directly at home. Inconvenient visits and precious time spent in health checking at hospitals or clinics can be saved.
6