Abstract: A machine-learning based artificial intelligence device for finding an estimate of patent quality, such as patent lifetime or term is disclosed. Such a device may receive a first set of patent data and generate a list of binary classifiers. A candidate set of binary classifiers may be selected and using a heuristic search, for example an artificial neural network (ANN), a genetic algorithm, a final set of binary classifiers is found by maximizing iteratively a yield according to a cost function, such an area under a curve (AUC) of a receiver operating characteristic (ROC). The device may then receive patent information for a target patent and report an estimate of patent quality according to the final set of binary classifiers.

Abstract: Methods and systems are described to obtain and analyze one or more gas samples from the breath of a person, and organizing the samples in a sample registry for subsequent analysis. This technique solves the various problems that are associated with targeting an individual breath for analysis, and allows for additional versatility and options in the analysis process.

Abstract: Presented are systems and methods that analyze an individual's state based on selected criteria, and then adaptively provide stimuli to affect the individual's performance compared to established benchmarks and pre-set plans. The methods or systems can provide audio and/or tactile inputs to a human subject to obtain a specific performance state. A music or sound selection engine considers the sensory and environmental inputs and selects the appropriate music or auditory stimulus, with the intent to reach a desired state of flow. The methods and systems can employ multiple measurements of personal data that can correlate to the emotional state of a subject. By manipulating stimuli delivered to an individual, ultimate performance can be improved over various planning horizons.

Abstract: A machine-learning based artificial intelligence device for finding an estimate of patent quality, such as patent lifetime or term is disclosed. Such a device may receive a first set of patent data and generate a list of binary classifiers. A candidate set of binary classifiers may be selected and using a heuristic search, for example an artificial neural network (ANN), a genetic algorithm, a final set of binary classifiers is found by maximizing iteratively a yield according to a cost function, such an area under a curve (AUC) of a receiver operating characteristic (ROC). The device may then receive patent information for a target patent and report an estimate of patent quality according to the final set of binary classifiers.

Abstract: A machine-learning based artificial intelligence device for finding an estimate of patent quality, such as patent lifetime or term is disclosed. Such a device may receive a first set of patent data and generate a list of binary classifiers. A candidate set of binary classifiers may be selected and using a heuristic search, for example an artificial neural network (ANN), a genetic algorithm, a final set of binary classifiers is found by maximizing iteratively a yield according to a cost function, such an area under a curve (AUC) of a receiver operating characteristic (ROC). The device may then receive patent information for a target patent and report an estimate of patent quality according to the final set of binary classifiers.

Abstract: An improved apparatus and method for capturing and analyzing the end-tidal portion of an exhalation. The CO2 level of air drawn into the system (10) is monitored to distinguish inhalation and exhalation of breath. Upon detection of a decrease in the CO2 level in the air drawn into the system (10), indicating a transition between exhalation and inhalation a pair of flow selector valves (26, 28) are operated to capture the end-tidal volume of air drawn into the system (10) immediately prior to the detection of the decrease in the CO2 level. Incoming air is diverted around the captured volume of air, and the CO2 levels are continually monitored to ensure that the captured volume of air corresponds to the end-tidal portion of an exhalation. Once the captured volume of air is positively identified as the end-tidal portion of an exhalation, the captured volume is routed through a gas analyzer (44) for analysis of one or more predetermined gas levels.

Abstract: Methods and systems are described to obtain and analyze one or more gas samples from the breath of a person, and organizing the samples in a sample registry for subsequent analysis. This technique solves the various problems that are associated with targeting an individual breath for analysis, and allows for additional versatility and options in the analysis process.

Abstract: A machine-learning based artificial intelligence device for finding an estimate of patent quality, such as patent lifetime or term is disclosed. Such a device may receive a first set of patent data and generate a list of binary classifiers. A candidate set of binary classifiers may be selected and using a heuristic search, for example an artificial neural network (ANN), a genetic algorithm, a final set of binary classifiers is found by maximizing iteratively a yield according to a cost function, such an area under a curve (AUC) of a receiver operating characteristic (ROC). The device may then receive patent information for a target patent and report an estimate of patent quality according to the final set of binary classifiers.

Abstract: An improved apparatus and method for capturing and analyzing the end-tidal portion of an exhalation. The CO2 level of air drawn into the system (10) is monitored to distinguish inhalation and exhalation of breath. Upon detection of a decrease in the CO2 level in the air drawn into the system (10), indicating a transition between exhalation and inhalation a pair of flow selector valves (26, 28) are operated to capture the end-tidal volume of air drawn into the system (10) immediately prior to the detection of the decrease in the CO2 level. Incoming air is diverted around the captured volume of air, and the CO2 levels are continually monitored to ensure that the captured volume of air corresponds to the end-tidal portion of an exhalation. Once the captured volume of air is positively identified as the end-tidal portion of an exhalation, the captured volume is routed through a gas analyzer (44) for analysis of one or more predetermined gas levels.

Abstract: Presented are systems and methods that analyze an individual's state based on selected criteria, and then adaptively provide stimuli to affect the individual's performance compared to established benchmarks and pre-set plans. The methods or systems can provide audio and/or tactile inputs to a human subject to obtain a specific performance state. A music or sound selection engine considers the sensory and environmental inputs and selects the appropriate music or auditory stimulus at 14, with the intent to reach desired state of flow. The methods an systems can employ multiple measurements of personal data that can correlate to the emotional state of a subject. By manipulating stimuli delivered to an individual, ultimate performance can be improved over various planning horizons.

Abstract: An improved apparatus and method for capturing and analyzing the end-tidal portion of an exhalation. The CO2 level of air drawn into the system (10) is monitored to distinguish inhalation and exhalation of breath. Upon detection of a decrease in the CO2 level in the air drawn into the system (10), indicating a transition between exhalation and inhalation a pair of flow selector valves (26, 28) are operated to capture the end-tidal volume of air drawn into the system (10) immediately prior to the detection of the decrease in the CO2 level. Incoming air is diverted around the captured volume of air, and the CO2 levels are continually monitored to ensure that the captured volume of air corresponds to the end-tidal portion of an exhalation. Once the captured volume of air is positively identified as the end-tidal portion of an exhalation, the captured volume is routed through a gas analyzer (44) for analysis of one or more predetermined gas levels.

Abstract: An improved apparatus and method for capturing and analyzing the end-tidal portion of an exhalation. The CO2 level of air drawn into the system (10) is monitored to distinguish inhalation and exhalation of breath. Upon detection of a decrease in the CO2 level in the air drawn into the system (10), indicating a transition between exhalation and inhalation a pair of flow selector valves (26, 28) are operated to capture the end-tidal volume of air drawn into the system (10) immediately prior to the detection of the decrease in the CO2 level. Incoming air is diverted around the captured volume of air, and the CO2 levels are continually monitored to ensure that the captured volume of air corresponds to the end-tidal portion of an exhalation. Once the captured volume of air is positively identified as the end-tidal portion of an exhalation, the captured volume is routed through a gas analyzer (44) for analysis of one or more predetermined gas levels.

Abstract: A machine-learning based artificial intelligence device for finding an estimate of patent quality, such as patent lifetime or term is disclosed. Such a device may receive a first set of patent data and generate a list of binary classifiers. A candidate set of binary classifiers may be selected and using a heuristic search, for example an artificial neural network (ANN), a genetic algorithm, a final set of binary classifiers is found by maximizing iteratively a yield according to a cost function, such an area under a curve (AUC) of a receiver operating characteristic (ROC). The device may then receive patent information for a target patent and report an estimate of patent quality according to the final set of binary classifiers.

Abstract: A method and apparatus for providing an on-site diagnosis of a subject to determine the presence and/or severity of a concussion is provided. The method includes placing an electrode set coupled to a handheld base unit on the subject's head, acquiring brain electrical signals from the subject through the electrode set, processing the acquired brain electrical signals using a signal processing algorithm stored in a memory of the base unit, determining the presence and/or severity of a concussion from the processed signals, indicating the presence and/or severity of a concussion on the handheld base unit, and determining a course of treatment for the subject based on the indication.

Abstract: A method and apparatus for performing rapid brain assessment may provide emergency triage to head trauma patients by analyzing a combination of spontaneous and evoked brain potentials. The spontaneous and evoked potentials are analyzed, and the results classified, to present a real-time assessment of a patient's brain, diagnosing any potential abnormalities therein.

Abstract: A method and apparatus for utilizing the benefits of encoded signal transmission and reception to enhance the performance of medical testing devices (100) adapted to evoke and measure biological response signals such as auditory evoked potentials (AEP), and the auditory brainstem response (ABR) signals in particular. Auditory stimuli, such as clicks, are presented to the ear of a human patient, in a predetermined encoded sequence, resulting in the generation of auditory responses and bio-electric response signals in the human patient. These response signals from the patient are acquired and observed, and are processed according to the predetermined encoded sequence in which the auditory stimuli were presented to the patient's ear in order to extract the desired auditory evoked potential signals or ABR signals.

Abstract: A system and method for performing monitoring of anesthesia and sedation in a patient includes a patient sensor integrating EEG, pulse oximetry, ECG, and AEP signal inputs, integrated analog hardware, digital hardware, and a digital signal processing system that executes a selected algorithm to process received signals representative of a patient's condition, and which generates an index value associated with said patient condition.

Abstract: Methods and systems are described to obtain and analyze one or more gas samples from the breath of a person, and organizing the samples in a sample registry for subsequent analysis. This technique solves the various problems that are associated with targeting an individual breath for analysis, and allows for additional versatility and options in the analysis process.

Abstract: Systems and methods for assessing a patient's neurologic state based on auditory evoked responses are provided.

Abstract: A method and apparatus for utilizing the benefits of encoded signal transmission and reception to enhance the performance of medical testing devices (100) adapted to evoke and measure biological response signals such as auditory evoked potentials (AEP), and the auditory brainstem response (ABR) signals in particular. Auditory stimuli, such as clicks, are presented to the ear of a human patient, in a predetermined encoded sequence, resulting in the generation of auditory responses and bio-electric response signals in the human patient. These response signals from the patient are acquired and observed, and are processed according to the predetermined encoded sequence in which the auditory stimuli were presented to the patient's ear in order to extract the desired auditory evoked potential signals or ABR signals.