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Method and system for the detection of heart disease

  • US 6,709,399 B1
  • Filed: 10/20/2000
  • Issued: 03/23/2004
  • Est. Priority Date: 10/20/2000
  • Status: Expired due to Term
First Claim
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1. A system for the detection of heart disease in a patient and providing at least one likely diagnosis from a plurality of potential diagnoses, comprising:

  • (a) data acquisition means for gathering data concerning the status of the patient'"'"'s heart comprising application of EGK leads II and V5 to the patient, generating analog signals for each such lead, amplifying the generated signals, and converting the amplified signals to digital data;

    (b) a remote testing unit for receiving the data gathered by the data acquisition means, including collecting the digital data, and for applying Fast Fourier Transforms (“

    FFT'"'"'s”

    ) to said digital data to create transformed data having waveforms and for thereafter transmitting the acquired data including the transformed data;

    (c) diagnostic means for receiving and analyzing the data transmitted by the remote testing unit, said diagnostic means comprising;

    (1) mathematical translation means for translating the transformed data received from the remote testing unit into patient-specific patterns comprising a plurality of different graphical patterns representative of various states of the patient'"'"'s heart, including performing the steps of;

    (a) partitioning the waveforms of the transformed data into 16 segments of 5.12 seconds each at 100 data points per second and averaging the resultant signals;

    (b) employing 6 transformations to the averaged signals;

    (c) applying 132 indices to the transformed signals; and

    (d) identifying positive indices, integrating and creating said patient-specific patterns;

    (2) a data base comprising graphical patterns representative of various states of a plurality of other patients'"'"' hearts from normal through disease states;

    (3) comparing means for comparing said patient-specific patterns against the data base of graphical patterns and for recognizing those patterns in the data base more similar to said patient-specific patterns;

    (4) diagnostic means for relating the recognized patterns to at least one likely diagnosis of the state of the patient'"'"'s heart from the plurality of likely diagnoses; and

    (d) output means for outputting the at least one likely diagnosis.

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