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Nathan Intrator

age ~67

from New York, NY

Also known as:
  • G R

Nathan Intrator Phones & Addresses

  • New York, NY
  • 496 Morris Ave, Providence, RI 02906 • 401-331-4345
  • Rochester, NY
  • Pittsford, NY
  • Barrington, RI
  • Riverside, RI

Work

  • Company:
    Neurosteer
    2015
  • Position:
    Founder

Education

  • Degree:
    Doctorates, Doctor of Philosophy
  • School / High School:
    Brown University
    1986 to 1990
  • Specialities:
    Mathematics, Statistics

Skills

Algorithms • Machine Learning • Signal Processing • Data Mining • Computer Science • Entrepreneurship • Start Ups • R&D • Science • Image Processing • Data Analysis • Matlab • Mathematical Modeling • Medical Devices • Programming • Software Engineering • Artificial Intelligence • Pattern Recognition • Computer Vision • Software Development • Simulations • C++ • Software Design • Optimization • Statistics • Biomedical Engineering • Distributed Systems

Interests

Medically Supervised Exercise

Industries

Information Technology And Services
Name / Title
Company / Classification
Phones & Addresses
Nathan Intrator
President
MEDICAL MONITORING TECHNOLOGIES, INC
The Development Of Medical Monitoring Products
PO Box 2605, Providence, RI 02906
Nathan Intrator
Founder, executive officer, Chief Executive, Executive, Manager, Administrator, CEO, Principle, Owner
Medical Monitoring Technologies
496 Morris Ave, Providence, RI 02940
401-855-4339, 401-331-4345

Resumes

Nathan Intrator Photo 1

Founder

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Location:
New York, NY
Industry:
Information Technology And Services
Work:
Neurosteer
Founder

Sagol School of Neuroscience
Professor

Karmelsonix 2008 - 2010
Director

Karmelsonix Apr 2008 - Dec 2009
Chief Executive Officer

Acoustic View Apr 2008 - Dec 2009
Founder
Education:
Brown University 1986 - 1990
Doctorates, Doctor of Philosophy, Mathematics, Statistics
Tel Aviv University 1980 - 1984
Bachelors, Bachelor of Science, Mathematics
Skills:
Algorithms
Machine Learning
Signal Processing
Data Mining
Computer Science
Entrepreneurship
Start Ups
R&D
Science
Image Processing
Data Analysis
Matlab
Mathematical Modeling
Medical Devices
Programming
Software Engineering
Artificial Intelligence
Pattern Recognition
Computer Vision
Software Development
Simulations
C++
Software Design
Optimization
Statistics
Biomedical Engineering
Distributed Systems
Interests:
Medically Supervised Exercise

Us Patents

  • Noise Adaptive Sonar Signal Processor

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  • US Patent:
    7239580, Jul 3, 2007
  • Filed:
    Jun 8, 2004
  • Appl. No.:
    10/559623
  • Inventors:
    Nathan Intrator - Providence RI, US
    Leon N. Cooper - Providence RI, US
    Nicola Neretti - Jamaica Plain MA, US
  • Assignee:
    Brown University - Providence RI
  • International Classification:
    G01S 15/02
    G01S 15/06
    G01S 15/32
  • US Classification:
    367101, 367 99, 367131
  • Abstract:
    A system and method of performing sonar range estimations in a noisy sonar environment. The system includes a sensor, a transmitter, a receiver, a plurality of band-pass filters, a cross correlator, and a data analyzer. The transmitter transmits a pulse through a transmission medium. The pulse travels through the transmission medium until it strikes an object, which returns an echo to the sensor. The sensor provides the echo to the receiver, which provides an indication of the echo to the band-pass filters. The respective band-pass filters provide filtered versions of the echo and pulse to the cross correlator, which performs multiple cross correlation operations on the filtered echo and pulse. The cross correlator provides output data to the data analyzer, which uses the data to estimate the SNR in the environment and to determine a pulse center frequency corresponding to the estimated SNR. By controlling the center frequency of pulses emitted by the transmitter based on information provided by the data analyzer, the system obtains sonar range estimations with increased accuracy.
  • Estimation Of Background Noise And Its Effect On Sonar Range Estimation

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  • US Patent:
    7289388, Oct 30, 2007
  • Filed:
    Jun 8, 2004
  • Appl. No.:
    10/559741
  • Inventors:
    Nathan Intrator - Providence RI, US
    Leon N. Cooper - Providence RI, US
    Nicola Neretti - Jamaica Plain MA, US
  • Assignee:
    Brown University - Providence RI
  • International Classification:
    G01S 15/02
    G01S 15/06
    G01S 15/32
  • US Classification:
    367100, 367 99, 367131
  • Abstract:
    A system and method for estimating the SNR in a sonar environment and for determining the effect of the estimated SNR on sonar ranging accuracy. The system includes a sensor, a transmitter, a receiver, a plurality of band-pass filters, a cross correlator, and a data analyzer. The transmitter transmits a first signal having a predetermined frequency range through a transmission medium. The sensor generates a second signal corresponding to an echo signal reflected from an object. The first and second signals are provided to the band-pass filters, each operative to pass a respective sub-band of frequencies. The filters provide filtered versions of the first and second signals to the cross correlator, which performs cross correlation operations on the filtered signals. A data analyzer analyzes the cross correlator output data to determine the variability of cross correlation peaks within each frequency sub-band, thereby allowing more accurate SNR estimations in noisy environments.
  • Apparatus And Method For Performing The Time Delay Estimation Of Signals Propagating Through An Environment

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  • US Patent:
    7363177, Apr 22, 2008
  • Filed:
    Aug 5, 2004
  • Appl. No.:
    10/567887
  • Inventors:
    Nathan Intrator - Providence RI, US
    Nicola Neretti - Jamaica Plain MA, US
    Leon N. Cooper - Providence RI, US
  • Assignee:
    Brown University - Providence RI
  • International Classification:
    G01R 29/02
  • US Classification:
    702 79
  • Abstract:
    A system and method for increasing the accuracy of time delay estimates of signals propagating through an environment. The system includes one or more sensors for receiving a plurality of signals, and a time delay estimator for measuring time delays between multiple pairs of signals. At least some of the multiple pairs of signals are received and measured at different points in time. The system further includes a data analyzer for analyzing time delay estimation data, for generating a statistical distribution of time delay estimates from the data, and for calculating a statistical estimate of time delay from the distribution. By increasing the number of signals employed by the system, the accuracy of the time delay estimation is increased. Further, by calculating the median or the mode of the statistical distribution, noise tolerance is improved.
  • Signal Adaptive Filter Bank Optimization

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  • US Patent:
    20030005007, Jan 2, 2003
  • Filed:
    Feb 14, 2002
  • Appl. No.:
    10/076059
  • Inventors:
    Nicola Neretti - Providence RI, US
    Nathan Intrator - Providence RI, US
  • International Classification:
    G06F017/10
  • US Classification:
    708/300000
  • Abstract:
    A method for finding optimal filter coefficients for a filter given an input data sequence and an objective function is disclosed. The method includes selecting a wavelet basis having k parameters and minimizes the k parameters according to the predetermined objective function. The wavelet basis is reparameterized into k/2 rotation parameters and factorized into a product of rotation and delay matrices. The k/2 rotation parameters are provided for the rotation matrices and a data transform matrix is computed based on the product of the rotation and delay matrices. The input data sequence is converted into transformed data by applying the data transform matrix to the input data. The Jacobian of the data transform matrix and the input data sequence is determined and multiplied by the gradient vector with respect to the transformed data of the objective function. This product is compared to a predetermined criterium and if the predetermined criterium is not satisfied, a new set of k/2 parameter values are provided and the gradient descent is continued until the optimal k/2 parameters are found. The optimal filter coefficients are then calculated based on the optimal k/2 parameters. The wavelet basis may be selected from a wavelet packet library containing orthonormal wavelet packet bases, and in which the selected wavelet packet basis is minimized according to a cost function, which can be an entropy function.
  • Personal Health Monitoring System

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  • US Patent:
    20030092971, May 15, 2003
  • Filed:
    Nov 12, 2001
  • Appl. No.:
    09/993324
  • Inventors:
    Nathan Intrator - Providence RI, US
  • International Classification:
    A61B005/00
  • US Classification:
    600/300000, 600/301000, 128/903000, 128/904000
  • Abstract:
    The present invention includes a sensor, a basic processor and a complex processor. The basic processor resides with the sensor; it receives signals from the sensor and performs basic analysis. If conditions require further analysis, the basic processor communicates with the complex processor (the base unit) for further analysis. The base unit can alert the patient, a care giver, or can control the administration of medication. The basic processor can provide a more limited form of alert in case it is in a stand-alone mode. The base unit enables bi directional communication between the sensor and the caregiver. The base unit can handle more than one sensor for a comprehensive medical and other vital signs monitoring.
  • Systems And Methods For Analyzing Brain Activity And Applications Thereof

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  • US Patent:
    20220369986, Nov 24, 2022
  • Filed:
    Aug 1, 2022
  • Appl. No.:
    17/816492
  • Inventors:
    - New York NY, US
    Nathan INTRATOR - New York NY, US
  • International Classification:
    A61B 5/291
    A61B 5/00
    A61B 5/316
    A61B 5/369
    A61B 5/375
  • Abstract:
    In some embodiments, the present invention provides an exemplary inventive system that includes: an apparatus to record: individual's brain electrical activity, a physiological parameter of the individual, and iii) an environmental parameter; a computer processor configured to perform: obtaining a recording of the electrical signal data; projecting the obtained recording of electrical signal data onto a pre-determined ordering of a denoised optimal set wavelet packet atoms to obtain a set of projections; normalizing the particular set of projections of the individual using a pre-determined set of normalization factors to form a set of normalized projections; determining a personalized mental state of the individual by assigning a brain state; determining a relationship between: the physiological parameter, the environmental parameter, and the personalized mental state; generating an output, including: a visual indication, representative of the personalized mental state, and) a feedback output configured to affect the personalized mental state of the individual.
  • Systems And Methods For Analyzing Brain Activity And Applications Thereof

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  • US Patent:
    20200138323, May 7, 2020
  • Filed:
    Nov 4, 2019
  • Appl. No.:
    16/673864
  • Inventors:
    - New York NY, US
    Nathan Intrator - New York NY, US
  • International Classification:
    A61B 5/0478
    A61B 5/00
    A61B 5/04
    A61B 5/0482
    A61B 5/0476
  • Abstract:
    In some embodiments, the present invention provides an exemplary inventive system that includes: an apparatus to record: individual's brain electrical activity, a physiological parameter of the individual, and iii) an environmental parameter; a computer processor configured to perform: obtaining a recording of the electrical signal data; projecting the obtained recording of electrical signal data onto a pre-determined ordering of a denoised optimal set wavelet packet atoms to obtain a set of projections; normalizing the particular set of projections of the individual using a pre-determined set of normalization factors to form a set of normalized projections; determining a personalized mental state of the individual by assigning a brain state; determining a relationship between: the physiological parameter, the environmental parameter, and the personalized mental state; generating an output, including: a visual indication, representative of the personalized mental state, and) a feedback output configured to affect the personalized mental state of the individual.

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