Abstract: A chemical extraction apparatus has absorbent material for absorbing or adsorbing volatile chemicals from a breath of a user. The chemical extraction apparatus is positioned within such that breaths from the user flow over the absorbent material thereby causing volatile chemicals in the breaths to absorb or adsorb into the absorbent material. The absorbent material is then analyzed to determine the amount of chemicals absorbed or adsorbed into the absorbent material. Based on such analysis, various diseases or conditions can be detected or diagnosed.

Abstract: Lightweight personal handheld home monitoring and managing device, which includes a sound sensor network/array of sound sensor networks combined with an Artificial Neural Network (ANN) and a build in system and methods, making this device an intelligent and portable apparatus to address specific health issues. The combined apparatus is used for managing and/or guidance and/or diagnosing and/or controlling and managing purposes. This present version of the apparatus will address pulmonary disorders and diseases or similar ailments.

Abstract: The present invention relates to a device, system and method for automatic and unobtrusive caloric intake detection. The device comprises a respiration input for obtaining a respiration signal indicating the subject's respiration, and an analysis unit for analyzing the obtained respiration signal in the frequency domain by determining one or more respiration signal features from the obtained respiration signal in the frequency domain related to changes in oxidation and by detecting changes of the one or more determined respiration signal features to detect periods of caloric intake by the subject.

Abstract: This relates to methods for measuring irregularities in a signal and corresponding devices. The devices can include a PPG sensor unit configured to detect multiple occurrences of a given event in the measured signal(s) over a sampling interval. In some instances, the device can register the occurrences of the events. In some examples, the device can include one or more motion sensors configured to detect whether the device is in a low-motion state. The device may delay initiating measurements when the device is not in a low-motion state to enhance measurement accuracy. Examples of the disclosure further include resetting the sample procedure based on one or more factors such as the number of non-qualifying measurements. In some examples, the device can be configured to perform both primary and secondary measurements, where the primary measurements can include readings using a set of operating conditions different from the secondary measurements.

Abstract: A system and method for monitoring a patient suspected of experiencing a state of unconsciousness are provided. In certain aspects, the method includes assembling physiological data, obtained from a plurality of sensors placed on a subject, into sets of time-series data, separating, from the sets of time-series data, a plurality of electroencephalogram signals, and determining, from the plurality of electroencephalogram signals, at least one of frequency information and amplitude information. The method can also include identifying, using the at least one of the frequency information and the amplitude information, spatiotemporal signatures indicative of a likelihood of arousing the patient to consciousness by applying an external stimulus and generating a report indicating the likelihood of arousing the patient to consciousness by applying the external stimulus.

Abstract: One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.

Abstract: A method of determining a fitness level of user with a physiological sensor. The method includes measuring a physiological value of the user with the physiological sensor, correlating the measured physiological value into a measurement of the user's respiratory rate and tidal volume, calculating a second respiratory rate value using the measured tidal volume, calculating a breathing efficiency (BE) ratio based on a comparison of the user's measured respiratory rate and the calculated second respiratory rate value, correlating the calculated BE ratio to a predetermined threshold, and assigning a classification to the user based on the calculated BE ratio. The classification is indicative of the user's respiratory function performance.

Abstract: A method and system for determining the state of a patients brain under anesthesia. The present invention recognizes that anesthesia compounds induce different signatures in physiological characteristics of the patient under anesthesia and aids interpretation of physiological characteristics and signatures therein based on a selected anesthesia compound. The present invention aids the monitoring and/or interpreting of the physiological characteristics to a state of the patient's brain.

Abstract: Disclosed is a bioimpedance measurement system: A stabilized high frequency current generator is connected to PadSet electrodes via a Patient Cable. Electrodes are connected to an adaptive circuit that conditions the resulting voltage signal and converts it to digital form. Firmware performs signal acquisition and relays data to the device.

Abstract: A pressure sensor apparatus includes a plurality of pressure responsive chambers provided along a longitudinal dimension of the apparatus, and a pressure sensor device provided in each chamber which together provide a pressure profile in an anatomical cavity.

Abstract: The present invention relates to a system and method for determining sleep quality parameters according to audio analyses, comprising: obtaining an audio recorded signal comprising sleep sounds of a subject; segmenting the signal into epochs; generating a feature vector for each epoch, wherein each of said feature vectors comprises one or more feature parameters that are associated with a particular characteristic of the signal and that are calculated according to the epoch signal or according to a signal generated from the epoch signal; inputting the generated feature vectors into a machine learning classifier and applying a preformed classifying model on the feature vectors that outputs a probabilities vector for each epoch, wherein each of the probabilities vectors comprises the probabilities of the epoch being each of the sleep quality parameters; inputting the probabilities vectors for each epoch into a machine learning time series model and applying a preformed sleep quality time series pattern function

Abstract: Systems and methods are presented for a swallowable pH sensor made entirely of edible and digestible materials. A substrate is provided and an electrical circuit pattern is printed on a top surface of the substrate. The electrical circuit pattern includes a plurality of interdigitated electrodes and an antenna portion. The substrate is rolled into a cylindrical form such that the interdigitated electrodes are positioned on an outermost layer of the rolled substrate. The rolling of the substrate also causes the antenna portion of the electrical circuit pattern to form into a coil shape.

Abstract: Devices and methods for monitoring physiologic parameters are described where an airway device, in one embodiment, may comprise a mouthpiece section and an opening section defining one or more airway lumens therethrough with a first sensor in fluid communication with the one or more airway lumens and a second sensor positioned upon a hand-piece for contact against a portion of the user. The first sensor may be configured to detect an airway pressure when a user inhales or exhales through the one or more airway lumens, and the second sensor may be configured to detect a physiological signal from the user. Additionally, a controller may be in communication with the first and second sensors where the controller is programmed to correlate pressure oscillations in the airway pressure with heartbeats.

Abstract: Provided is a respiratory state estimating device including a pulse wave signal acquiring unit that acquires a pulse wave signal from a portion of a living subject, a pulse rate calculating unit that calculates a pulse rate of the living subject based on the pulse wave signal, and a respiratory state estimating unit that estimates a respiratory state of the living subject based on the pulse rate. Also, provided is a respiratory state estimating method including optically acquiring a pulse wave signal from a portion of a living subject, calculating a pulse rate of the living subject based on the pulse wave signal, estimating a respiratory state of the living subject from the pulse rate.

Abstract: An introducer is provided for introducing a sensor into the body of a patient. The introducer connects to a sensor hub. When the sensor hub and introducer are connected, the introducer needle is exposed. When the sensor hub and introducer are disconnected, a needle cover and the needle move with respect to each other so that the needle cover substantially covers the needle, protecting a user from being injured by the needle.

Abstract: Traditional analysis of sleep patterns requires several channel of data. This analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, determining the effect of medication on sleep states and identifying biomarkers, and drug dosages or reactions.

Abstract: Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states.

Abstract: A sensor assembly (226) for detecting at least one analyte in a body fluid, a sensor patch (134) for use in a sensor assembly (226), an electronics unit (188) for use in a sensor assembly (226) and a method for producing a sensor assembly (226) are disclosed.

Abstract: Method and system for self-assessment of drinking behavior. According to one embodiment, the method includes examining a transdermal alcohol response curve obtained from a drinking event, querying a user on their feelings of intoxication after or during the event, and using the combination of the objective measurement and subjective feelings of intoxication to provide an alert or status during subsequent drinking events. In so doing, the method mitigates at least some of the drawbacks associated with conventional alcohol monitoring devices by correlating an individual's reported feelings of intoxication with an objective transdermal measurement of alcohol.

Abstract: Systems for monitoring blood loss include a display for simultaneously depicting a current blood loss metric at different time points or along a time line. In addition, historical or comparative blood loss information is provided on the display so that the healthcare provider can see assess the current blood loss metric relative to other metrics, so that the healthcare provider can more accurately assess and manage the patient's status.