Patents by Inventor John Douglas Birdwell
John Douglas Birdwell 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).
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Publication number: 20230106662Abstract: One embodiment of an exemplary ambulatory seizure monitoring method calculates a phase lock value synchrony level of a neurological signal of an individual; detects an onset of a seizure event for the individual by comparing the phase lock value synchrony level with a patient threshold for the individual; and transmits a notification to a remote communication device indicating the onset of the seizure event for the individual.Type: ApplicationFiled: October 24, 2022Publication date: April 6, 2023Inventors: Mark Hebron MYERS, Karl Arthur SILLAY, John Douglas BIRDWELL
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Patent number: 11517248Abstract: One embodiment of an exemplary ambulatory seizure monitoring method calculates a phase lock value synchrony level of a neurological signal of an individual; detects an onset of a seizure event for the individual by comparing the phase lock value synchrony level with a patient threshold for the individual; and transmits a notification to a remote communication device indicating the onset of the seizure event for the individual.Type: GrantFiled: March 3, 2017Date of Patent: December 6, 2022Inventors: Mark Hebron Myers, Karl Arthur Sillay, John Douglas Birdwell
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Patent number: 10929745Abstract: A method and apparatus for constructing one of a neuroscience-inspired artificial neural network and a neural network array comprises one of a neuroscience-inspired dynamic architecture, a dynamic artificial neural network array and a neural network array of electrodes associated with neural tissue such as a brain, the method and apparatus having a special purpose display processor. The special purpose display processor outputs a display over a period of selected reference time units to demonstrate a neural pathway from, for example, one or a plurality of input neurons through intermediate destination neurons to an output neuron in three-dimensional space. The displayed neural network may comprise neurons and synapses in different colors and may be utilized, for example, to show the behavior of a neural network for classifying hand-written digits between values of 0 and 9 or recognizing vertical/horizontal lines in a grid image of lines.Type: GrantFiled: August 29, 2017Date of Patent: February 23, 2021Assignee: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Mark Edward Dean, Margaret Grace Drouhard, Catherine Dorothy Schuman
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Publication number: 20190059803Abstract: One embodiment of an exemplary ambulatory seizure monitoring method calculates a phase lock value synchrony level of a neurological signal of an individual; detects an onset of a seizure event for the individual by comparing the phase lock value synchrony level with a patient threshold for the individual; and transmits a notification to a remote communication device indicating the onset of the seizure event for the individual.Type: ApplicationFiled: March 3, 2017Publication date: February 28, 2019Inventors: Mark Hebron MYERS, Karl Arthur SILLAY, John Douglas BIRDWELL, Mark Steven RADER
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Publication number: 20180018358Abstract: A method and apparatus for constructing one of a neuroscience-inspired artificial neural network and a neural network array comprises one of a neuroscience-inspired dynamic architecture, a dynamic artificial neural network array and a neural network array of electrodes associated with neural tissue such as a brain, the method and apparatus having a special purpose display processor. The special purpose display processor outputs a display over a period of selected reference time units to demonstrate a neural pathway from, for example, one or a plurality of input neurons through intermediate destination neurons to an output neuron in three-dimensional space. The displayed neural network may comprise neurons and synapses in different colors and may be utilized, for example, to show the behavior of a neural network for classifying hand-written digits between values of 0 and 9 or recognizing vertical/horizontal lines in a grid image of lines.Type: ApplicationFiled: August 29, 2017Publication date: January 18, 2018Inventors: John Douglas Birdwell, Mark Edward Dean, Margaret Grace Drouhard, Catherine Dorothy Schuman
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Patent number: 9414776Abstract: A suite of components comprising an objective measurement medical data collection device and a cohort database may standardize, simplify, and objectify clinical outcomes tracking, culminating in population health measurements within the restorative neurosciences such as Parkinson disease individuals diagnosed with a disease. A data collection device may comprise one or more of a gyroscope, an accelerometer, a locator, a camera and a magnetometer for collecting, for example, data related to tremors experienced by the individuals diagnosed with disease and receive instruction data responsive to evaluation of the collected data in relation to the cohort database.Type: GrantFiled: March 6, 2013Date of Patent: August 16, 2016Assignee: Navigated Technologies, LLCInventors: Karl Arthur Sillay, John Douglas Birdwell
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Patent number: 8788215Abstract: The present invention provides a method of predicting whether an unknown biological specimen originates from a member of a particular family. The method compares DNA profiles from at least one unknown biological specimen to DNA profiles of more than one family member, which significantly increases the methods' predictive ability. In particular, the invention describes a method of comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from biological specimens of family members. In one embodiment, a modified Elston Stewart algorithm is used to determine a probability that a genetic relationship exists between at least one unknown biological specimen and the family pedigree.Type: GrantFiled: September 17, 2012Date of Patent: July 22, 2014Assignee: University of Tennessee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 8775097Abstract: Three methods of predicting whether an unknown biological specimen of a missing person originates from a member of a particular family comprise an initial automated decision support (ADS) algorithm for determining a list of relatives of the missing person for DNA typing and which typing technologies of available technologies to use for a listed relative. The ADS algorithm may be implemented on computer apparatus including a processor and an associated memory. The ADS method comprises determining a set of relatives of available family member relatives for DNA typing via a processor from a stored list of family member relatives according to one of a rule base, a table of hierarchically stored relatives developed based on discriminatory power or by calculating the discriminatory power for available family relatives to type.Type: GrantFiled: October 3, 2012Date of Patent: July 8, 2014Assignee: University of Tennessee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 8645073Abstract: Analysis of DNA is critical to many applications including identifying perpetrators of crimes based on genetic evidence left at crime scenes. An initial step to analyzing DNA data is detection, identification, and quantization of allele peaks in the DNA data. The invention provides a method and apparatus for accurately and expeditiously performing this initial step by sequentially checking unfitted peaks against various models including a default model, a hybrid peak model, a dual fit model and, in special situations, a narrow fit function and a saturated fit function.Type: GrantFiled: July 28, 2006Date of Patent: February 4, 2014Assignee: University of Tennessee Research FoundationInventors: Kenneth H. Gilbert, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stransberry
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Patent number: 8429153Abstract: Method and apparatus for determining a metric for use in predicting properties of an unknown specimen belonging to a group of reference specimen electrical devices comprises application of a network analyzer for collecting impedance spectra for the reference specimens and determining centroids and thresholds for the group of reference specimens so that an unknown specimen may be confidently classified as a member of the reference group using the metric. If a trait is stored with the reference group of electrical device specimens, then, the trait may be predictably associated with the unknown specimen along with any traits identified with the unknown specimen associated with the reference group.Type: GrantFiled: May 11, 2012Date of Patent: April 23, 2013Assignees: The United States of America as Represented by the Secretary of the Army, University of Tennessee Research FoundationInventors: John Douglas Birdwell, Carl G. Sapp, Tse-wei Wang, David J. Icove, Roger Horn, Mark S. Rader, Dale V. Stansberry
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Patent number: 8412463Abstract: The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members.Type: GrantFiled: August 12, 2011Date of Patent: April 2, 2013Assignee: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Ranajit Chakraborty
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Publication number: 20130030713Abstract: The present invention provides a method of predicting whether an unknown biological specimen originates from a member of a particular family. The method compares DNA profiles from at least one unknown biological specimen to DNA profiles of more than one family member, which significantly increases the methods' predictive ability. In particular, the invention describes a method of comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from biological specimens of family members. In one embodiment, a modified Elston Stewart algorithm is used to determine a probability that a genetic relationship exists between at least one unknown biological specimen and the family pedigree.Type: ApplicationFiled: September 17, 2012Publication date: January 31, 2013Applicant: The University of Tennessee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 8301392Abstract: Three methods of predicting whether an unknown biological specimen of a missing person originates from a member of a particular family comprise an initial automated decision support (ADS) algorithm for determining a list of relatives of the missing person for DNA typing and which typing technologies of available technologies to use for a listed relative. The ADS algorithm may be implemented on computer apparatus including a processor and an associated memory. The ADS method comprises determining a set of relatives of available family member relatives for DNA typing via a processor from a stored list of family member relatives according to one of a rule base, a table of hierarchically stored relatives developed based on discriminatory power or by calculating the discriminatory power for available family relatives to type.Type: GrantFiled: January 8, 2010Date of Patent: October 30, 2012Assignee: University of Tennessee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 8271201Abstract: The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members.Type: GrantFiled: August 28, 2006Date of Patent: September 18, 2012Assignee: University of Tennesee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 8140271Abstract: Least Square Deconvolution (LSD) uses quantitative allele peak data, for example, allele peak area, allele peak height and optical density, derived/obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.Type: GrantFiled: November 16, 2010Date of Patent: March 20, 2012Assignee: University of Tennessee Research FoundationInventors: Tse-Wei Wang, John Douglas Birdwell, Xue Ning, Mark S. Rader, John Flaherty
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Publication number: 20110295518Abstract: The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members.Type: ApplicationFiled: August 12, 2011Publication date: December 1, 2011Applicant: THE UNIVERSITY OF TENNESSEE RESEARCH FOUNDATIONInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 7945526Abstract: An item is organized and presented by displaying a table, wherein the table displays a plurality of data comprising DNA profile analysis results including an observation characterizing the at least one item, and wherein an analysis result is based on a decision made by an expert system according to a rule base. An observation comprises one of concordance, a locus having a concordance error, an off-ladder peak, a peak height imbalance and a peak falling in an overlap region between loci. The rule base comprises rules related to background noise, spike, broad peak, duplicate allele, bleed-through peak, pull-up peak, stutter peak, ?A peak and global filter rules.Type: GrantFiled: September 21, 2010Date of Patent: May 17, 2011Assignee: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton
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Publication number: 20110022561Abstract: Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source.Type: ApplicationFiled: September 21, 2010Publication date: January 27, 2011Applicant: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton
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Patent number: 7860661Abstract: Least Square Deconvolution (LSD) uses quantitative allele peak data derived obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.Type: GrantFiled: December 4, 2009Date of Patent: December 28, 2010Assignee: University of Tennessee Research FoundationInventors: Tse-Wei Wang, Xue Ning, John Douglas Birdwell, Mark Rader, John Flaherty
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Patent number: 7840519Abstract: Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source.Type: GrantFiled: November 13, 2009Date of Patent: November 23, 2010Assignee: University of Tennesse Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton