Ramun Schmid

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This study presents a multichannel ECG quality monitoring system, which continuously scans the leads' status (valid/lead-off) and quality (0-100%), according to the ECG components in the low, medium and high frequency bands. The system aims to detect the optimal moment to start the record of a 10s resting ECG within the 1 st minute of signal acquisition –(More)
Since the introduction of digital electrocardiographs, high-pass filters have been necessary for successful analog-to-digital conversion with a reasonable amplitude resolution. On the other hand, such high-pass filters may distort the diagnostically significant ST-segment of the ECG, which can result in a misleading diagnosis. We present an inverting filter(More)
BACKGROUND AND OBJECTIVE A crucial factor for proper electrocardiogram (ECG) interpretation is the correct electrode placement in standard 12-lead ECG and extended 16-lead ECG for accurate diagnosis of acute myocardial infarctions. In the context of optimal patient care, we present and evaluate a new method for automated detection of reversals in peripheral(More)
We have studied the effects of the 0.05 Hz first-order high-pass filter (AC coupling) on the automatic measurements of the electrocardiogram (ECG). The standard 12-lead ECG of 1248 patients and the automated measurements of the AC-and DC-coupled (unfiltered) versions were compared. We found a strong, linear correlation between the QRS integral and the(More)
This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a predominant normal (reference) beat template. The non-matched beats are next subjected to measurement of 20(More)
This study presents a two-stage heartbeat classifier. The first stage makes initial assignment of beats towards continuously updated beat templates of the predominant rhythm, and calculates a set of features, tracking the morphology and RR-interval variation, and correlation to noise robust average beat templates. The second stage implements a decision tree(More)
In this paper, a novel Kalman filter based noise suppression algorithm for hearing aids, using spatial information for estimating the required noise and speech models, is proposed. The main assumption of the scheme is that the target (usually the speech signal) is directly in front of the hearing aid user while the interference (usually the noise signal)(More)
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