Abstract: A wearable device can be worn by a neonate or infant and used to monitor estimated instantaneous SpO2 to prevent Sudden Unexpected Postnatal Collapse (SUPC). The wearable device includes at least one photoplethysmography sensor configured to be placed against the neonate's skin to measure pleth data and an inertial measurement unit (IMU) to collect motion data of the neonate and/or a pressure sensor. The pleth data and the motion/pressure data can be sampled for a time period. The pleth data and the motion/pressure data can be analyzed to estimate an average heartrate and compute heartrate variability features for the time period. An instantaneous SpO2 can be estimated for the time period based on the pleth data, the motion data, and the heartrate variability features for the time period. The instantaneous SpO2 can be characterized as healthy, watch, or dangerous; an alert can be issued when characterized as watch/dangerous.

Abstract: Example apparatus and methods employ an artificial neural network (ANN) to automatically design magnetic resonance (MR) pulse sequences. The ANN is trained using transverse magnetization signal evolutions having arbitrary initial magnetizations. The trained up ANN may then produce an array of signal evolutions associated with a pulse sequence having user selectable pulse sequence parameters that vary in degrees of freedom associated with magnetic resonance fingerprinting (MRF). Efficient and accurate approaches are provided for predicting user controllable MR pulse sequence settings including, but not limited to, acquisition period and flip angle (FA). The acquisition period and FA may be different in different sequence blocks in the pulse sequence produced by the ANN. Predicting user controllable MR pulse sequence settings for both conventional MR and MRF facilitates achieving desired signal characteristics from a signal evolution produced in response to an automatically generated pulse sequence.

Abstract: A system for use in rehabilitation of a target patient is provided. The system includes at least two bicycle devices for use by the target patient and a second operator other than the target patient. The at least two bicycle devices each include pedals. At least one of the pedals may have at least one sensor mounted thereon for monitoring operation of the first bicycle device and the target's condition. A servomotor is coupled to the pedals for providing gear-like resistance or pedal assistance for the at least two bicycle devices. A controller is programmed to electrically couple the at least two bicycle devices to each other.

Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).

Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).

Abstract: A system for use in rehabilitation of a target patient is provided. The system includes at least two bicycle devices for use by the target patient and a second operator other than the target patient. The at least two bicycle devices each include pedals. At least one of the pedals may have at least one sensor mounted thereon for monitoring operation of the first bicycle device and the target's condition. A servomotor is coupled to the pedals for providing gear-like resistance or pedal assistance for the at least two bicycle devices. A controller is programmed to electrically couple the at least two bicycle devices to each other.

Abstract: A system for use in rehabilitation of a target patient is provided. The system includes at least two bicycle devices for use by the target patient and a second operator other than the target patient. The at least two bicycle devices each include pedals. At least one of the pedals may have at least one sensor mounted thereon for monitoring operation of the first bicycle device and the target's condition. A servomotor is coupled to the pedals for providing gear-like resistance or pedal assistance for the at least two bicycle devices. A controller is programmed to electrically couple the at least two bicycle devices to each other.

Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).

Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).

Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).

Abstract: A system for use in rehabilitation of a target patient is provided. The system includes at least two bicycle devices for use by the target patient and a second operator other than the target patient. The at least two bicycle devices each include pedals. At least one of the pedals may have at least one sensor mounted thereon for monitoring operation of the first bicycle device and the target's condition. A servomotor is coupled to the pedals for providing gear-like resistance or pedal assistance for the at least two bicycle devices. A controller is programmed to electrically couple the at least two bicycle devices to each other.

Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).

Abstract: Example apparatus and methods employ an artificial neural network (ANN) to automatically design magnetic resonance (MR) pulse sequences. The ANN is trained using transverse magnetization signal evolutions having arbitrary initial magnetizations. The trained up ANN may then produce an array of signal evolutions associated with a pulse sequence having user selectable pulse sequence parameters that vary in degrees of freedom associated with magnetic resonance fingerprinting (MRF). Efficient and accurate approaches are provided for predicting user controllable MR pulse sequence settings including, but not limited to, acquisition period and flip angle (FA). The acquisition period and FA may be different in different sequence blocks in the pulse sequence produced by the ANN. Predicting user controllable MR pulse sequence settings for both conventional MR and MRF facilitates achieving desired signal characteristics from a signal evolution produced in response to an automatically generated pulse sequence.

Abstract: Systems and methods that use probabilistic grammatical inference and statistical data analysis techniques to characterize the behavior of systems in terms of a low dimensional set of summary variables and, on the basis of these models, detect anomalous behaviors are disclosed. The disclosed information-theoretic system and method exploit the properties of information to deduce a structure for information flow and management. The properties of information can provide a fundamental basis for the decomposition of systems and hence a structure for the transmission and combination of observations at the desired levels of resolution (e.g., component, subsystem, system).

Abstract: Apparatuses and methods are provided for determining electrode impedances of a bioelectric signal-monitoring/recording system that includes an amplifier, and electrodes connected between a subject and the amplifier. An example apparatus includes: a voltage source outputting a voltage signal; a switching arrangement including an input electrically connected with the voltage source for receiving the voltage signal, an output electrically connected with the amplifier and the electrodes, and switches between the input and the output; and a controller in communication with the switches for opening and closing the switches to establish signal paths between the voltage source and the output, the controller calculating the electrode impedances relative to voltage outputs of the amplifier for each signal path.

Abstract: Automated behavioral methods and systems for treating insomnia that use passive means for determining wake/sleep states.

Abstract: Crane control and anti-sway are facilitated utilizing a diagnostic component that includes a model component and a control component. The diagnostic component interfaces with an extrinsic data analysis component and a controller component. The diagnostic component receives operating condition information from the extrinsic data analysis component and performs predictive modeling, based on a current status and stored information. Further, the diagnostic component predicts the affect of the operating conditions on a crane and implements and/or recommends actions to mitigate the affect of the existing and/or predicted operating conditions. The diagnostic component further mitigates crane sway and/or induces crane sway to reduce container transit time. Intelligent agents are employed to provide trajectory planning and execution and/or to detect potential component failure.

Abstract: A system that facilitates device and/or machinery diagnostics, prognostics and control by way of condition sensing, such as sensing the condition of the device and/or a fluid of the device (e.g., fluid health indicators). The system can employ a plurality of sensors to determine a current state and estimate a future state of the fluid and/or device, as well as providing control of the device, e.g., in order to increase the remaining useful life of the fluid and/or operation of the device. The sensors can communicate wirelessly with each other, with the device, and/or with a central control system that provides, e.g., sensor fusion, prognostics and control integration. In addition, the sensors can be powered locally based upon the physical or chemical properties of the environment.

Abstract: Systems and methods are disclosed for controlling and diagnosing the health of a motorized system. The systems may comprise a diagnostics system and a controller, wherein the diagnostics system employs a neural network, an expert system, and/or a data fusion component in order to assess the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and/or a diagnostics signal from the diagnostics system. Also disclosed are methodologies for controlling and diagnosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, and diagnosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and/or the diagnostics signal.

Abstract: A system eliminates artifacts from an electrocardiogram signal. The system includes a monitor for receiving an electrocardiogram signal from a patient and a microprocessor utilizing a shift-invariant wavelet transform for decomposing the electrocardiogram signal into a plurality of scales. The microprocessor applies rules to the scales for removing artifacts from the scales. The microprocessor reassembles the plurality of scales to produce a reconstructed and accurate electrocardiogram signal without the artifacts.