Study of atrial activities for abnormality detection by phase rectified signal averaging technique.

Non-invasive detection of Atrial Fibrillation (AF) and Atrial Flutter (AFL) from ECG at the time of their onset can prevent forthcoming dangers for patients. In most of the previous detection algorithms, one of the steps includes filtering of the signal to remove noise and artefacts present in the signal. In this paper, a method of AF and AFL detection is proposed from ECG without the conventional filtering stage. Here Phase Rectified Signal Average (PRSA) technique is used with a novel optimized windowing method to achieve an averaged signal without quasi-periodicities. Both time domain and statistical features are extracted from a novel SQ concatenated section of the signal for non-linear Support Vector Machine (SVM) based classification. The performance of the proposed algorithm is tested with the MIT-BIH Arrhythmia database and good performance parameters are obtained, as indicated in the result section.

Specific oligonucleotide primers for detection of endoglucanase positive Bacillus subtilis by PCR.

A polymerase chain reaction (PCR) assay was developed for discrimination of Bacillus subtilis from other members of B. subtilis group as well as rapid identification from environmental samples. Primers ENIF and EN1R from endoglucanase gene were used to amplify a1311 bp DNA fragment. The specificity of the primers was tested with seven reference strains and 28 locally isolated strains of endoglucanase positive Bacillus species. The PCR product was only produced from B. subtilis. The results demonstrated high specificity of two oligonucleotides for B. subtilis. This species-specific PCR method provides a quick, simple, powerful and reliable alternative to conventional methods in the detection and identification of B. subtilis. To our knowledge this is the first report of a B. subtilis specific primer set.