Method and apparatus for non-invasive diagnosis of cardiovascular and related disorders
May 1, 2018. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesMethod and apparatus for extracting systolic valvular events from heart sounds Method and apparatus for monitoring and diagnosing hypertension and congestive heart failure Method for diagnosing, monitoring and treating hypertension Waveform analysis apparatus and method using neural network techniques Vascular impedance measurement instrument Method for ascertaining the pressure pulse and related parameters in the ascending aorta from the contour of the pressure pulse in the peripheral arteries Risk management system for use with cardiac patients Method and system for automatically classifying intracardiac electrograms Method for determining blood pressure utilizing a neural network Continuous cardiac output derived from the arterial pressure waveform using pattern recognition InventorApplicationNo. 071348 filed on 05/01/1998US Classes:600/481, Cardiovascular128/925Neural networkExaminersPrimary: O'Connor, Cary E.Assistant: Astorino, Michael Attorney, Agent or FirmForeign Patent References
International ClassA61B 005/00AbstractApparatus and method for non-invasive diagnosis of cardiovascular and related disorders. The system establishes a correspondence between the dynamics of the wave contour of the arterial pressure pulse and the associated disease states. The system comprises an input module, a contour signal receiver, and a processing module. The input module utilizes a pressure transducer for taking a non-invasive measurement of the arterial pulse. The contour signal receiver amplifies, digitizes and normalizes the arterial pressure pulse signal. In the processing module, the normalized arterial pressure contour is subjected to wavelet analysis, which transforms the dynamics of the time series of arterial blood pressure contour into multi-resolution wavelet coefficients or signatures. The processing module includes a neural network which is trained to associate the diagnostic features of the transformed arterial pressure contour embedded in the coefficients with a disease condition. After the learning phase, the system is capable of diagnosing known cardiovascular conditions in patients.Other References
Field of SearchDIAGNOSTIC TESTINGCardiovascular Measuring resistance of capillary blood vessels to hemorrhage Simultaneously detecting cardiovascular condition and diverse body condition Detecting respiratory condition Measuring pressure in heart or blood vessel Waveform graph-type pulse recorder Pulse indicator Entire testing assembly supported on wrist Measuring blood flow in body portion other than heart Sensing means inserted in blood vessel By detecting electrical impedance of body portion By detecting volume of body portion Heart Detecting heartbeat electric signal MISCELLANEOUS Methods Devices placed entirely within body and means used therewith (e.g., magnetic implant locator) COMPUTER ASSISTED MEDICAL DIAGNOSTICS Diet management Including image analysis By comparison of patient data to other data Using artificial intelligence Neural network | |
