Abstract: Systems and methods for tracking sympathetic-driven arousal state (SDAS) including nociception under anesthesia is described herein. The method includes obtaining heart rate variability and electrodermal activity of a subject. Point process models are generated for the heart rate variability and the electrodermal activity. A multimodal approach is implemented to determine a state space framework based on these point process models. SDAS can be estimated using the state space framework. In some implementations, an anesthesiologist can modify the dosage of drugs administered to the subject based on this estimation.

Abstract: Systems and methods for tracking sympathetic-driven arousal state (SDAS) including nociception under anesthesia is described herein. The method includes obtaining heart rate variability and electrodermal activity of a subject. Point process models are generated for the heart rate variability and the electrodermal activity. A multimodal approach is implemented to determine a state space framework based on these point process models. SDAS can be estimated using the state space framework. In some implementations, an anesthesiologist can modify the dosage of drugs administered to the subject based on this estimation.

Abstract: Automatic swimming analysis and nearly immediate feedback on a user device is disclosed. A sensor placed on a swimmer's waistline instantaneously measures data of the swim, allows to upload this data to a cloud system performing immediate analysis using algorithms. The cloud system provides feedback which helps determine proper (or improper) swimming techniques, comparing patterns to own past swims or to professional swimmers. The sensor enables stroke improvement with output including graphs, single numerical values, and detailed single-stroke data. The output provides both easy to understand metrics for amateur swimmers as well as more technical analysis options for advanced users. Metrics for amateurs can include swim symmetry analysis, speed consistency analysis, and stroke consistency analysis.

Abstract: An inverted polymer photovoltaic cell (or solar cell) includes an anode; a first anodic interlayer (buffer layer) based on PEDOT:PSS [poly(3,4-ethylenedioxythiophene):polystyrene sulfonate]; an active layer having at least one photoactive organic polymer as an electron donor and at least one electron acceptor organic compound; a cathodic interlayer (buffer layer); and a cathode. A second anodic interlayer (buffer layer) includes at least one heteropolyacid and, optionally, at least one amino compound is placed between the first anodic interlayer (buffer layer) and the active layer. The inverted polymer photovoltaic cell (or solar cell) shows good values of photoelectric conversion efficiency (power conversion efficiency—PCE) (?) and, in particular, a good level of adhesion between the different layers, more specifically between the active layer and the first anodic interlayer (buffer layer).

Abstract: Systems and methods for identifying and removing artifacts from electrodermal activity (EDA) data are described herein. A method includes identifying artifacts in segments of EDA data using unsupervised machine learning based on feature vectors extracted from segments of the data. After the artifacts are identified, they can be removed from the EDA data. Artifact-free EDA data can be used to estimate a patient's nociceptive state, which in turn can be used to modify a dosage of anesthetic drugs administered to the patient based on this estimation.

Abstract: Systems and methods for tracking sympathetic-driven arousal state (SDAS) including nociception under anesthesia is described herein. The method includes obtaining heart rate variability and electrodermal activity of a subject. Point process models are generated for the heart rate variability and the electrodermal activity. A multimodal approach is implemented to determine a state space framework based on these point process models. SDAS can be estimated using the state space framework. In some implementations, an anesthesiologist can modify the dosage of drugs administered to the subject based on this estimation.

Abstract: Automatic swimming analysis and nearly immediate feedback on a user device is disclosed. A sensor placed on a swimmer's waistline instantaneously measures data of the swim, allows to upload this data to a cloud system performing immediate analysis using algorithms. The cloud system provides feedback which helps determine proper (or improper) swimming techniques, comparing patterns to own past swims or to professional swimmers. The sensor enables stroke improvement with output including graphs, single numerical values, and detailed single-stroke data. The output provides both easy to understand metrics for amateur swimmers as well as more technical analysis options for advanced users. Metrics for amateurs can include swim symmetry analysis, speed consistency analysis, and stroke consistency analysis.

Abstract: A system and method for analyzing a subject health condition based on an input signal comprising subject heartbeat data recorded from the subject over a time period. Using the subject heartbeat data, a sympathetic activity index value in a sympathetic activity index (SAI) determined, where the SAI represents an influence, on a mean heart rate of the subject, of sympathetic nerve activity (SNA) of the subject.

Abstract: Systems and methods are disclosed to monitor physiological for the occurrence of life threatening events and to apply stimulation to prevent the occurrence of said life-threatening events. Systems and methods for applying the stimulation are also disclosed. These systems include applying the stimulation through via a mattress having a passive section and an active section, a plurality of focal stimulators, and/or an array to apply the stimulation are also disclosed. These devices include a mattress with an active region and a passive region, a stimulating array do deliver targeted stimulation, and a plurality of stimulators to apply focused stimulation.

Abstract: A system and method for analyzing a subject health condition based on an input signal comprising subject heartbeat data recorded from the subject over a time period. Using the subject heartbeat data, a sympathetic activity index value in a sympathetic activity index (SAI) determined, where the SAI represents an influence, on a mean heart rate of the subject, of sympathetic nerve activity (SNA) of the subject.

Abstract: Systems and methods are disclosed to monitor physiological for the occurrence of life threatening events and to apply stimulation to prevent the occurrence of said life-threatening events. Systems and methods for applying the stimulation are also disclosed. These systems include applying the stimulation through via a mattress having a passive section and an active section, a plurality of focal stimulators, and/or an array to apply the stimulation are also disclosed. These devices include a mattress with an active region and a passive region, a stimulating array do deliver targeted stimulation, and a plurality of stimulators to apply focused stimulation.

Abstract: A system for estimating a statistic associated with a cardiac signal having periodic events includes a clock and a digital filter. The clock determines an extent of a censored interval beginning at a most recent event and ending at a time selected from a continuum of times. The digital filter implements a point process stochastic model of the cardiac signal, receives the censored interval, and estimates the statistic at least in part on the basis of historical data and the censored interval.