Patents by Inventor Walter Welkowitz

Walter Welkowitz has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 5647369
    Abstract: Apparatus and methods for noninvasively measuring cardiovascular system parameters. According to a first preferred embodiment, the apparatus generates a time varying electrical voltage waveform having voltages corresponding to systolic and diastolic arterial pressures of the subject, the parameters being modelled by a lumped element electric circuit model analogous to the living subject's cardiovascular system, said circuit model including a systolic capacitor analogous to arterial compliance during systole, said apparatus comprising means for computing the value of said systolic capacitor from a measurement of an elapsed time between two voltage levels within a portion of said voltage waveform corresponding to systole, according to a predetermined criteria; and means for computing at least one said cardiovascular system parameter from said capacitor value. According to a second embodiment, a time-varying systolic arterial compliance is measured by measuring an arterial pulse pressure waveform.
    Type: Grant
    Filed: April 19, 1996
    Date of Patent: July 15, 1997
    Assignee: Rutgers University
    Inventors: Steven P. Petrucelli, Walter Welkowitz, Lisa K. Liss, Alan M. Smith, Stephen A. Orbine, III
  • Patent number: 5638823
    Abstract: A system and method for noninvasively detecting coronary artery disease. The system and method utilize a vasodilator drug to increase the signal-to-noise ratio of an acoustic signal that represents diastolic heart sounds of a patient. A wavelet transform is performed on the acoustic signal to provide parameters for a feature vector. Scaled clinical examination parameters such as a patient's sex, age, body weight, smoking condition, blood pressure, and family history are also included in the feature vector. The feature vector is used as an input pattern to neural networks. The output of the neural networks represent a diagnosis of coronary stenosis in a patient.
    Type: Grant
    Filed: August 28, 1995
    Date of Patent: June 17, 1997
    Assignee: Rutgers University
    Inventors: Metin Akay, Walter Welkowitz, Yasemin M. Akay, John Kostis
  • Patent number: 5535753
    Abstract: Apparatus and methods for noninvasively measuring cardiovascular system parameters. According to a first preferred embodiment, the apparatus generates a time varying electrical voltage waveform having voltages corresponding to systolic and diastolic arterial pressures of the subject, the parameters being modelled by a lumped element electric circuit model analogous to the living subject's cardiovascular system, said circuit model including a systolic capacitor analogous to arterial compliance during systole, said apparatus comprising means for computing the value of said systolic capacitor from a measurement of an elapsed time between two voltage levels within a portion of said voltage waveform corresponding to systole, according to a predetermined criteria; and means for computing at least one said cardiovascular system parameter from said capacitor value. According to a second embodiment, a time-varying systolic arterial compliance is measured by measuring an arterial pulse pressure waveform.
    Type: Grant
    Filed: October 4, 1994
    Date of Patent: July 16, 1996
    Assignee: Rutgers University
    Inventors: Steven P. Petrucelli, Walter Welkowitz, Lisa K. Liss, Alan M. Smith, Stephen A. Orbine, III
  • Patent number: 5109863
    Abstract: A method and system for non-invasively detecting Coronary Artery Disease. The method comprises analyzing the diastolic heart sounds detected from a patient's chest cavity during the diastolic portion of the heart cycle in order to identify a low level auditory component associated with turbulent blood flow in partially occluded coronary arteries. These diastolic heart sounds are modeled using advanced signal processing techniques such as Autoregressive (AR), Autoregressive Moving Averaging (ARMA) and Eigenvector methods, so that the presence of such an auditory component may be reliably indicated even under high noise conditions. The system includes an acoustic transducer, pulse sensor device, signal processor means and a diagnostic display. Additionally, the system includes a controller for automatically sequencing data collection, analysis and display stages, therefore requiring a minimum of operator interaction.
    Type: Grant
    Filed: May 6, 1991
    Date of Patent: May 5, 1992
    Assignees: Rutgers, The State University of New Jersey, University of Medicine and Dentistry of New Jersey
    Inventors: John L. Semmlow, Walter Welkowitz, John B. Kostis, Vasant Padmanabhan
  • Patent number: 5101828
    Abstract: Apparatus for noninvasively monitoring cardiovascular system parameters of a living subject comprises means for sensing waveforms externally of the body of the subject above the carotid and femoral arteries, means for non-invasively calibrating and digitizing the pulse waveforms, and a digital signal processor having means for converting the digitized, calibrated pulse information by Fast Fourier Transform to first and second sets of harmonically related blood pressure components in the frequency domain, means for comparing corresponding ones of the components in the first and second harmonically related sets to determine amplitude and phase transfer function components of the portion of the cardiovascular system between the carotid and femoral arteries, means for simulating the portion of the system by a hybrid electrical circuit model having at least three variable parameters, means for determining corresponding amplitude and phase transfer function components of the hybrid model and for adjusting the varia
    Type: Grant
    Filed: April 11, 1991
    Date of Patent: April 7, 1992
    Assignee: Rutgers, The State University of NJ
    Inventors: Walter Welkowitz, Qing Cui, Yun Qi
  • Patent number: 5036857
    Abstract: A method and system for non-invasively detecting Coronary Artery Disease. The method comprises analyzing the diastolic heart sounds detected from a patient's chest cavity during the diastolic portion of the heart cycle in order to identify a low level auditory component associated with turbulent blood flow in partially occluded coronary arteries. These diastolic heart sounds are modeled using advanced signal processing techniques such as Autoregressive (AR), Autoregressive Moving Averaging (ARMA) and Eigenvector methods, so that the presence of such an auditory component may be reliably indicated even under high noise conditions. The system includes an acoustic transducer, pulse sensor device, signal processor means and a diagnostic display. Additionally, the system includes a controller for automatically sequencing data collection, analysis and display stages, therefore requiring a minimum of operator interaction.
    Type: Grant
    Filed: October 26, 1989
    Date of Patent: August 6, 1991
    Assignee: Rutgers, The State University of New Jersey
    Inventors: John L. Semmlow, Walter Welkowitz, John Kostis, Metin Akay
  • Patent number: 4993420
    Abstract: A method and apparatus for monitoring the cardiac output of living subjects. Carotid pulse waveforms and femoral pulse waveforms are measured and converted to digitized signals. The carotid pulse signal or waveform is applied as a voltage to the simulated aorta circuit and the circuit component values varied to develop a waveform output best matching the femoral pulse electrical waveform.
    Type: Grant
    Filed: March 30, 1990
    Date of Patent: February 19, 1991
    Assignee: Rutgers University
    Inventors: Walter Welkowitz, Oing Cui, Yun Qi