Method and system for the detection of heart disease
First Claim
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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Abstract
A method and system for the detection of heart disease in a patient, having a remote testing unit for gathering analog data concerning the status of a patient'"'"'s heart, converting the data to digital form, applying FFT'"'"'s to the converted data, transferring the data to a computer for analysis. The analytic computer applies mathematical translation to the data received from the remote testing unit into a plurality of different graphical patterns representative of various states of the patient'"'"'s heart. A data base is also employed that has graphical patterns representative of various states of a plurality of patients'"'"' hearts from normal through disease states. The analytic computer compares the graphical patterns of the patient'"'"'s heart against the data base of graphical patterns recognizes at least one pattern in the data base more similar to the graphical patterns of the patient'"'"'s heart. The analytic computer then determines a likely diagnosis of the patient'"'"'s heart as a result of the recognized patterns and outputs the likely diagnosis. Application of Internet and intranet solutions are also provided. A comprehensive data base for storing a wealth of information including clinical data and data acquired is also provided. Firewall protection to maintain confidentiality is included.
33 Citations
16 Claims
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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:
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(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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for the detection of heart disease in a patient, comprising the steps of:
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(a) collecting analog information of at least EKG data from leads II and V5 concerning the status of the patient'"'"'s heart;
(b) converting the analog information to digital data for receipt and processing;
(c) storing 82 seconds of EKG digital data;
(d) applying FFT'"'"'s to the digital data;
(e) transferring the digital data to a receiving server;
(f) partitioning the digital data into signals of 16 segments of 5.12 seconds each at 100 data points per second;
(g) averaging the signals;
(h) employing transformations to the averaged signals;
(i) applying indices to the transformed signals;
(j) identifying positive indices, integrating and creating a patient-specific pattern;
(k) comparing the pattern against a data base of known conditions;
(l) determining at least one pattern in the data base of known conditions that compares in similarity to the patient-specific pattern;
(m) creating a likely diagnosis from the comparison; and
(n) outputting the likely diagnosis. - View Dependent Claims (14, 15, 16)
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Specification