Abstract: Computer method and apparatus of analyzing ECG signals of a subject include receiving a subject electrocardiogram signal and comparing it against signal patterns of known cardiac syndromes. A library of example predefined signals is employed. Distance measures indicating similarity of the subject signal to the example predefined signals are produced and form a sequence of vectors. The sequence of vectors are input into a classifier which determines existence of signal patterns indicative of any cardiac syndromes in the subject.

Abstract: An electronic document searching system or word searching system which when given an input, expands the input as a function of acoustic similarity and/or word sequence occurrence frequency. Results of the system are alternative input words or phrases. The alternative input words or phrases are output from the system for further processing.

Abstract: Computer method and apparatus for reading and analyzing ECG signals includes applying a plurality of heart condition detectors to a subject ECG signal. Each detector produces a respective indication of likelihood of certain heart conditions existing in the subject. A lattice having annotations of the different detector heart conditions is formed from the detector indications. The lattice enables medical personnel to navigate through and hence more easily read the ECG signal data. The lattice effectively provides an indexed or annotated version of the subject ECG signal.

Abstract: A method and apparatus transforms typically differing length text string representations (i.e., sequences) of biological fragments into uniform length representations. A comparison database stores a predefined number of known biological sequences. A comparison routine compares and scores a subject sequence against each known sequence in the database. Each individual score (one for each known sequence in the database) serves as a vector element forming a fixed length vector representation of the subject sequence. Vector length equals the predefined number of known biological sequences in the database. Scoring is a probability or an occurrence count of the known biological sequence in the subject sequence.

Abstract: The present invention computer method and apparatus determines music similarity by generating a K-means (instead of Gaussian) cluster signature and a beat signature for each piece of music. The beat of the music is included in the subsequent distance measurement.

Abstract: An electronic document searching system or word searching system which when given an input, expands the input as a function of acoustic similarity and/or word sequence occurrence frequency. Results of the system are alternative input words or phrases. The alternative input words or phrases are output from the system for further processing.

Abstract: The present invention computer method and apparatus determines music similarity by generating a K-means (instead of Gaussian) cluster signature and a beat signature for each piece of music. The beat of the music is included in the subsequent distance measurement.