Systems and methods for physiological signal enhancement and biometric extraction using non-invasive optical sensors

A system and method for signal processing to remove unwanted noise components including: (i) wavelength-independent motion artifacts such as tissue, bone and skin effects, and (ii) wavelength-dependent motion artifact/noise components such as venous blood pulsation and movement due to various sources including muscle pump, respiratory pump and physical perturbation. Disclosed are methods, analytics, and their uses for reliable perfusion monitoring, arterial oxygen saturation monitoring, heart rate monitoring during daily activities and in hospital settings and for extraction of physiological parameters such as respiration information, hemodynamic parameters, venous capacity, and fluid responsiveness. The system and methods disclosed are extendable to include monitoring platforms for perfusion, hypoxia, arrhythmia detection, airway obstruction detection and sleep disorders including apnea.Board of Regents, University of Texas Syste

Methods and systems for extracting venous pulsation and respiratory information from photoplethysmographs

A system and method for separating a venous component and an arterial component from a red signal and an infrared signal of a PPG sensor is provided. The method uses the second order statistics of venous and arterial signals to separate the venous andarterial signals. After reliable separation of the venous and thearterial component signals,the component signals can be used for different purposes. In a preferred embodiment, the respiratory signal, pattern, and rate are extracted from the separated venous component and a reliable ?ratio of ratios? is extracted for SpO, using only the arterial component of the PPG signals. The disclosed embodiments enable real-time continuous monitoring of respiration pattern/rate and site-independentarterial oxygen saturation.Board of Regents, University of Texas Syste

Integration of Commercial Pregnancy Test in the Point-of-Care Diagnosis of Pathogenic Nucleic Acid Biomarkers

The detection of nucleic acid biomarkers in point-of-care diagnostics is currently limited by technical complexity, cost, and time constraints. However, to overcome these shortcomings, a solution can potentially be realized through the combined use of isothermal nucleic acid amplification, programmable nucleic acid circuitry, and a standard pregnancy test. First, loop-mediated isothermal amplification (LAMP) of pathogenic nucleic acids can be used to specifically enhance the presence of target biomarkers found in circulating nucleic acid (CNA) samples from bodily fluids that include blood, saliva, and urine. Once amplified, the mechanics of one-step toehold-mediated strand displacement (OSD) reactions can be used to detect subsequent LAMP amplicon product. By targeting a single-stranded loop LAMP amplicon region, a controlled and complementary OSD probe can be produced such that one strand of the reporter is biotinylated and another bears the hormone hCG. In the presence of LAMP amplicons, hCG-bearing strands from the OSD probes can then be released on the basis of strand displacement activity. The subsequent changes in free-hCG can then be measured using a commercial pregnancy test. Currently, results have demonstrated the success of this diagnostic pathway using a three-way junction hCG-OSD probe to detect synthetic biomarker samples both in buffered solution and in human serum. This overarching method can thus have the potential to be applied to any nucleic acid biomarker target, offering a broad and hopeful future for its use in point-of-care and low-resource diagnostics.Molecular Bioscience

A COMPARATIVE STUDY ON CALIBRATION METHODS OF NASH’S RAINFALL-RUNOFF MODEL TO AMMAMEH WATERSHED, IRAN

Increasing importance of watershed management during last decades highlighted the need for sufficient data and accurate estimation of rainfall and runoff within watersheds. Therefore, various conceptual models have been developed with parameters based on observed data. Since further investigations depend on these parameters, it is important to accurately estimate them. This study by utilizing various methods, tries to estimate Nash rainfall-runoff model parameters and then evaluate the reliability of parameter estimation methods; moment, least square error, maximum likelihood, maximum entropy and genetic algorithm. Results based on a case study on the data from Ammameh watershed in Central Iran, indicate that the genetic algorithm method, which has been developed based on artificial intelligence, more accurately estimates Nash’s model parameters

A Model, Secondary Level, Mathematics Curriculum Developed in Alignment with Washington State Essential Academic Learning Requirements, Easton School District

The purpose ofthis project was to design and develop a model secondary level mathematics curriculum, in alignment with Washington State Essential Academic Learning Requirements, for the Easton School District in Washington. To accomplish this purpose, a review of current research and literature regarding Washington State Essential Academic Learning Requirements related to secondary mathematics was conducted. In addition, related information from selected sources was obtained and analyzed

Agent planning, models, virtual haptic computing, and visual ontology

The paper is a basis for multiagent visual computing with the Morph Gentzen logic. A basis to VR computing, computational illusion, and virtual ontology is presented. The IM_BID model is introduced for planning, spatial computing, and visual ontology. Visual intelligent objects are applied with virtual intelligent trees to carry on visual planning. New KR techniques are presented with generic diagrams and appllied to define computable models. The IM Morph Gentzen Logic for computing for multimedia are new projects with important computing applications. The basic principles are a mathematical logic where a Gentzen or natural deduction systems is defined by taking arbitrary structures and multimedia objects coded by diagram functions.The techniques can be applied to arbitrary structures definable by infinitary languages. Multimedia objects are viewed as syntactic objects defined by functions, to which the deductive system is applied.Applications in Artificial Intelligence - AgentsRed de Universidades con Carreras en Informática (RedUNCI

Agent planning, models, virtual haptic computing, and visual ontology

The paper is a basis for multiagent visual computing with the Morph Gentzen logic. A basis to VR computing, computational illusion, and virtual ontology is presented. The IM_BID model is introduced for planning, spatial computing, and visual ontology. Visual intelligent objects are applied with virtual intelligent trees to carry on visual planning. New KR techniques are presented with generic diagrams and appllied to define computable models. The IM Morph Gentzen Logic for computing for multimedia are new projects with important computing applications. The basic principles are a mathematical logic where a Gentzen or natural deduction systems is defined by taking arbitrary structures and multimedia objects coded by diagram functions.The techniques can be applied to arbitrary structures definable by infinitary languages. Multimedia objects are viewed as syntactic objects defined by functions, to which the deductive system is applied.Applications in Artificial Intelligence - AgentsRed de Universidades con Carreras en Informática (RedUNCI