Abstract: The invention addresses the problem of storing and maintaining highly hierarchical information in a relational database, relational databases which are more prevalent and enjoy strong database provider support. The efficacy of the storage and the maintenance of highly hierarchical information a relational database is aided by a record key uniquely ascribed to each database record across all database record tables in the relational database. Further the record key has a format which permits the specification of a “contains” relationship between database records. Beneficial information storage and information retrieval improvements are attained by using this, and only this, record key to index all database records in all record tables in the relational database.

Abstract: The invention addresses the problem of storing and maintaining highly hierarchical information in a relational database, relational databases which are more prevalent and enjoy strong database provider support. The efficacy of the storage and the maintenance of highly hierarchical information a relational database is aided by a record key uniquely ascribed to each database record across all database record tables in the relational database. Further the record key has a format which permits the specification of a “contains” relationship between database records. Beneficial information storage and information retrieval improvements are attained by using this, and only this, record key to index all database records in all record tables in the relational database.

Abstract: A waveform analysis assembly (10) includes a sensor (12) for detecting physiological electrical and mechanical signals produced by the body. An extraction neural network (22, 22') will learn a repetitive waveform of the electrical signal, store the waveform in memory (18), extract the waveform from the electrical signal, store the location times of occurrences of the waveform, and subtract the waveform from the electrical signal. Each significantly different waveform in the electrical signal is learned and extracted. A single or multilayer layer neural network (22, 22') accomplishes the learning and extraction with either multiple passes over the electrical signal or accomplishes the learning and extraction of all waveforms in a single pass over the electrical signal. A reducer (20) receives the stored waveforms and times and reduces them into features characterizing the waveforms.