A New Wavelet-Based ECG Delineator for the Evaluation of the Ventricular Innervation
T-wave amplitude (TWA) has been proposed as a marker of the innervation of the myocardium. Until now, TWA has been calculated manually or with poor algorithms, thus making its use not efficient in a clinical environment. We introduce a new wavelet-based algorithm for the delineation QRS complexes and T-waves, and the automatic calculation of TWA. When validated in the MIT/BIH Arrhythmia database, the QRS detector achieved sensitivity and positive predictive value of 99.84% and 99.87% respectively.
Detection of Paroxysms in Long-Term, Single Channel EEG-Monitoring of Patients with Typical Absence Seizures
Absence seizures are associated with generalized 2.5-5 Hz spike-wave discharges in the electroencephalogram (EEG). Rarely are patients, parents, or physicians aware of the duration or incidence of seizures. Six patients were monitored with a portable EEG-device over four times 24 h to evaluate how easily outpatients are monitored and how well an automatic seizure detection algorithm can identify the absences. Based on patient-specific modeling, we achieved a sensitivity of 98.4% with only 0.23 false detections per hour.
Automatic Real-time Embedded QRS Complex Detection for a Novel Patch-Type Electrocardiogram Recorder
The design and optimization of our novel automatic QRS complex detection algorithm was performed on two different databases: The MIT-BIH Arrhythmia Database (Se=99.90%, P+=99.87) and a private ePatch Training Database (Se=99.88%, P+=99.37%). The algorithm is based on a novel cascade of computationally efficient filters…