Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may determine a skew metric based on the physiological signal. The system may also determine a correlation lag value corresponding to a peak in a correlation sequence derived from the physiological signal. The system may qualify or disqualify the correlation lag value based on the skew metric. The system may, for example, compare the skew metric and the correlation lag value to a reference set of skew metric values and correlation lag values to determine whether to qualify or disqualify the correlation lag value.

Abstract: Methods and apparatus combine patient measurement data with demographic or physiological data of the patient to determine an output that can be used to diagnose and treat the patient. A customized output can be determined based the demographics of the patient, physiological data of the patient, and data of a population of patients. In another aspect, patient measurement data is used to predict an impending cardiac event, such as acute decompensated heart failure. At least one personalized value is determined for the patient, and a patient event prediction output is generated based at least in part on the personalized value and the measurement data. For example, bioimpedance data may be used to establish a baseline impedance specific to the patient, and the patient event prediction output generated based in part on the relationship of ongoing impedance measurements to the baseline impedance. Multivariate prediction models may enhance prediction accuracy.

Abstract: Methods, devices, and computer programs are presented for creating a unified data stream from multiple data streams acquired from multiple devices. One method includes an operation for receiving activity data streams from the devices, each activity data stream being associated with physical activity data of a user. Further, the method includes an operation for assembling the unified activity data stream for a period of time. The unified activity data stream includes data segments from the data streams of at least two devices, and the data segments are organized time-wise over the period of time.

Abstract: An oxygen face mask to cover a user's nose and at least partially cover a user's mouth with lateral sampling ports; systems including such a face mask; and methods of using such a face mask.

Abstract: The present invention provides for an access port configured to detect its tilt within the body to facilitate a physician's access thereto. The access port can include a tilt detector to detect tilt datum, and a display screen to display the tilt of the access port. In addition, the tilt detector and the display screen can indicate whether the access port is flipped or not. The tilt detector can include an accelerometer to aid in determining the tilt of the access port.

Abstract: A collection device for performing a structured collection procedure may include a processor that executes program instructions communicably coupled to at least one memory. The processor can initiate a schedule of events of the structured collection procedure upon one or more entry criterions being met and segregate the at least one memory into a primary data store and a secondary data store. The processor can write structured patient data collected in accordance to the schedule of events to the secondary data store. The processor can transform a relevant portion of the structured patient data into an evaluated data object. The processor can generate a data abstraction based in part upon the evaluated data object. The processor can link the primary data store and the secondary data store with the data abstraction.

Abstract: A device for detecting occurrence of wheeze in a lung sound includes an acoustic processing unit, a filtering unit, and an identifying unit. The acoustic processing unit is for obtaining a lung sound and for generating a raw sound signal accordingly. The filtering unit is for filtering the raw sound signal to obtain a filtered signal. The filtered signal has a plurality of sections with respect to the time domain. The identifying unit is for computing an energy value of each of the sections of the filtered signal, and for determining that a wheeze occurs when the energy values of a part of the sections are larger than a predetermined value and duration of the part of the sections is longer than a predetermined observation time.

Abstract: A respiratory condition analysis apparatus includes a respiratory signal acquisition section configured to acquire a time-series respiratory signal including respiratory sound of a living body, a respiratory segment identification section configured to identify a respiratory segment that is a time segment including the respiratory sound in the respiratory signal, a feature value generation section configured to generate a predetermined feature value of the respiratory signal for the identified respiratory segment, and a respiratory abnormality degree generation section configured to generate a degree of abnormality of the respiratory sound included in the respiratory signal on the basis of the feature value.

Abstract: Apparatus and methods for measurement of airflow in a duct are described. The apparatus combines a Pitot tube, sensing apparatus, control apparatus, a display, control switches and carry apparatus arranged into a unitary structure.

Abstract: Medication management and reporting technology, in which output from at least one sensor configured to sense physical activity in a building in which medication of a patient is located is monitored and a determination is made to capture one or more images of the medication based on the monitoring. A camera is used to capture an image of the medication and the captured image is analyzed to detect a state of the medication. Information regarding a schedule by which the medication should be taken by the patient is accessed and an expected state of the medication is determined. The detected state is compared with the expected state and a determination is made that the patient has departed from the schedule based on the comparison revealing that the detected state does not match the expected state. A message indicating the departure from the schedule is sent based on the determination.

Abstract: A device obtains a series of measurements of a physiological parameter of one or more patients. The device displays a monitoring workflow home screen when the device is operating within a monitoring workflow. The device displays a non-monitoring workflow home screen when the device is operating within a non-monitoring workflow. The device displays a continuous workflow home screen when the device is operating within a continuous workflow. The monitoring workflow home screen, the non-monitoring workflow home screen, and the continuous workflow home screen are each different.

Abstract: Embodiments disclosed herein may include systems and methods for determining a patient's respiratory effort and blood oxygen saturation based on data acquired from a pulse oximetry sensor and analyzing the parameters in conjunction with each other. For example, the respiratory effort may be determined based on a photo-plethysmographic waveform generated from light attenuation detected by the sensor, and the blood oxygen saturation may be a pulse-based estimate of arterial blood oxygen saturation determined from the detected attenuation. Analysis of the parameters may enable detection and classification of apnea (e.g., obstructive or central) or another underlying cause for respiratory instability. Furthermore, the measured respiratory effort may be compared to respiratory effort supplied by a ventilator to ensure proper sensor placement before enabling automatic adjustment of ventilator settings.

Abstract: Disclosed are methods, systems, and devices for generating sleep predicators to avoid preventable mental episodes from breaking through, thereby averting an irreversible brain damage to a patient, that may be caused by such future mental episodes. In one embodiment, the present invention is a method comprising: acquiring biomedical data from a patient by using a means of signal acquisition; forming a database of the biomedical records in which the database further comprises a sleep prediction algorithm, psychiatric records, and a statistical engine to compute the data and the psychiatric records using the algorithm; mapping the acquired data in reference to the sleep prediction algorithm; validating the sleep predictors; and providing an output of the sleep predicators to a patient or caretaker. The present invention can be used to treat mania, depression, bipolar disorder, schizophrenia, PTSD, anxiety, and other chronic mental health conditions.

Abstract: A patient monitoring system and method is disclosed herein. The system includes one or more patient monitors that obtain physiological data from a patient. Based upon the physiological data obtained from the patient, as well as the information available for the patient in an electronic health record, an algorithm selection device determines which one of a plurality of early warning algorithms are best suited for use in monitoring a patient. One or more early warning algorithms can be presented to a user for selection. Once the algorithm selection device or the user determines which of a plurality of early warning algorithms would be most effective, the early warning algorithm is downloaded to the patient monitor for use by the patient monitor. The patient monitor utilizes the downloaded early warning algorithm to generate alarms and alerts to indicate the health status of the patient being monitored.

Abstract: A medical system provides navigation assistance to a surgeon so that the surgeon may navigate a flexible medical device through linked passages of an anatomical structure to a target in or adjacent to the anatomical structure. As the medical device moves through the linked passages, images are captured by an image capturing element at its distal end and pose and shape information for the medical device are received from sensors disposed in the medical device. A 4-D computer model of the anatomical structure is registered to the medical device using one or both of 4-D shape registration and virtual camera registration so that the captured image and a virtual image generated from the perspective of a virtual camera are registered to each other and displayed while providing an indication of a navigational path to the target.

Abstract: A method of detecting an early onset of neurocardiogenic syncope in a patient uses respiratory functions as a predictor of the syncope. According to the method, at least one sample of baseline minute ventilation, tidal volume and respiratory rate of the patient is obtained. The detection unit is set to detect an increase in tidal volume and in minute ventilation over a predetermined respiratory period. The detecting unit also detects any rate of change in respiratory rate and sends a signal to a microprocessor to determine whether the increase in minute ventilation is a sole function of increased tidal volume. The impending syncope is diagnosed if variance in respiratory rate is less than 25% in relation to the sampled baseline during the predetermined period of time.

Abstract: The disclosed embodiments relate to pulse oximetry. An exemplary pulse oximeter comprises a probe that is adapted to be attached to a body part of a patient to create a signal indicative of an oxygen saturation of blood of the patient, and a processor that is adapted to receive the signal produced by the probe, to calculate an SPO2 value based on the signal, to detect a plurality of pattern types of SPO2 indicative of pathophysiologic events, and to produce an output indicative of a detected one of the plurality of pattern types.

Abstract: A CO2 monitoring system (20) is described which is operable to monitor the CO2 content of respiratory gases during intubation, CPR, or ventilation treatment of a patient. The patient's respiratory gases are sensed for CO2 content (17) and characteristics of a CO2 waveform are detected (30), such as waveform baseline, waveform amplitude, waveform frequency, waveform slope, waveform rhythm, and waveform corners. One or more of the waveform characteristics are analyzed in consideration of the type of respiration treatment being performed to identify an abnormal respiratory condition. These abnormal conditions may include the intubation tube located in the esophagus, ineffective CPR, or an airway obstruction, for example. When an abnormal condition is identified (34) a visual or audible alarm (40) is issued to alert a caregiver to tend to the patient.

Abstract: The present invention provides a new non-invasive technique for organ, e.g., heart and lung, monitoring. In at least one embodiment of the invention, a subject is radiated with a non-harmful and relatively low power electromagnetic source diagnostic signal normally associated with a communications protocol such as, but not limited to a version of the IEEE 802.11(x) family of protocols in the 2.4, 3.6, or 5 GHz spectrum bands. After passing through the patient, a return signal is acquired from the patient and compared to the original source signal. The differences between the source and modified signals are then analyzed to monitor the heart, e.g., measure heart rate and detect defects within the heart, and the lung. For example, using Doppler Effect principles, heart rate and motion can be measured from the differences in frequency, phase, and/or wavelength between the source signal and the modified signal reflected back from the heart moving within the patient.

Abstract: A tool for use in conjunction with a pressure support system that is structured to provide therapy to a patient to treat a condition of the patient by delivering a flow of breathing gas to the patient. The tool may be implemented on a portable electronic device or a PC and is configured to, among other things, provide customized/personalized education and feedback to the patient based, at least in part, on data that is measured by the pressure support system during the provision of therapy to the patient. The tool utilizes certain patient/therapy metrics, wherein each patient/therapy metric comprises raw data that was measured by the pressure support system and that has been processed (e.g., summarized and/or otherwise manipulated) to form the patient/therapy metric.

Abstract: An improved method and system for monitoring a user's sleep is provided. The method includes monitoring, using one or more sensors of a bed, biological signal data of a user; determining, by a processor, a sleep phase of the user according to the biological signal data; and providing, on a data interface, a sleep cycle report, determined at least partially according to the sleep phase of the user.

Abstract: Systems and methods using a database of physiological information for the design, development, testing and use of therapeutics. In one aspect, the physiological information can include at least one of: hemodynamic monitoring information, pulmonary arterial pressure, cardiac output, heart rate, respiratory rate, peripheral vascular resistance, total peripheral resistance or dicrotic notch information. Optionally, the cardiovascular physiology information can include ambulatory physiological information.

Abstract: Methods and apparatus are disclosed for determining the occurrence of a closed or open apnea. Respiratory air flow from a patient is measured to give an air flow signal. The determination of an apnea is performed by applying an oscillatory pressure waveform of known frequency to a patient's airway, calculating a complex quantity representing a patient admittance (12) and comparing its value with ranges (14,16) indicative of open or closed apneas. The method distinguishes open from closed apneas even when the model used to calculate admittance is not based on details of the respiratory apparatus. In addition the patient admittance may be compared with admittance during normal breathing to avoid having to characterize the airway.

Abstract: Embodiments relate to devices and methods for monitoring, identifying, and determining risk of congestive heart failure (CHF) hospitalization. Methods include determining physiological values of a patient by electrocardiogram (ECG), bioimpedance, and 3-axis accelerometer, filtering the physiological values, comparing physiological values to baseline parameters and determining CHF risk. Devices include a 3-axis accelerometers, bioimpedance sensors, and an electrocardiogram, each capable of measuring patient physiological values, and one or more processors to receive the measured physiological values.

Abstract: Continuous measurement of breathing impedance with extremely high precision is enabled by executing noise elimination. A loudspeaker applies an air vibration pressure by an oscillation wave to an oral cavity, the oscillation wave being obtained by frequency-cuffing so executed that the oscillation wave has only the frequency component that is left after the culling is executed from a plurality of different frequencies and being generated by a pulse signal for pulse drive with pulses made positive and negative separately in correspondence to the time of exhalation and the time of inhalation. A pressure inside the oral cavity is detected and a breathing flow is detected, and a signal obtained by the detection is Fourier-transformed to obtain a spectrum. Analysis of the spectrum is performed to obtain breathing impedance.

Abstract: A sensor assembly includes a sensing element and an actuator. The sensing element measures a parameter associated with gas in an airway. The actuator actuates the sensing element to prevent contamination build up on the sensing element.

Abstract: A method of distinguishing sleep period states that a person experiences during a sleep period, the method comprising: using a non-contact microphone to acquire a sleep sound signal representing sounds made by a person during sleep; segmenting the sleep sound signals into epochs; generating a sleep sound feature vector for each epoch; providing a first model that gives a probability that a given sleep period state experienced by the person in a given epoch exhibits a given sleep sound feature vector; providing a second model that gives a probability that a first sleep period state associated with a first epoch transitions to a second sleep period state associated with a subsequent second epoch; and processing the feature vectors using the first and second models to determine a sleep period state of the person from a plurality of possible sleep period states for each of the epochs.

Abstract: An embodiment in accordance with the present invention provides a device for whole-body plethysmography (WBP) of a mouse for the continuous characterization of sleep and breathing. The inherent limitations of standard WBP are addressed to enable the continuous recording of validated measures of tidal volume, tidal airflow, and respiratory effort surrogate in an unrestrained, unanesthetized mouse. The addition of standard EEG and EMG recording technology allows for respiratory patterns to be fully characterized during sleep and wakefulness. The present invention also allows for the demonstration of the development of dynamic upper airway obstruction [inspiratory flow limitation (IFL)] during sleep in a susceptible, obese murine strain.

Abstract: Embodiments of a lumenally-active system and method of use and control thereof are disclosed. According to various embodiments, a lumenally-active device is positioned in a body lumen of an organism, where the device may sense a parameter of a fluid in the body lumen and perform an action on the fluid. Control logic and/or circuitry may be located on the device, or the system may include a separate control module. Liquid or gaseous fluids may be treated by embodiments of the device. Actions may include, for example, modification of a body fluid by addition or removal of a material, or by modification of a property of a body fluid or a component thereof.

Abstract: One or more respiratory characteristics of a patient are measured by coupling patient monitor apparatus (e.g., a photoplethysmograph (“PPG”)) to the patient in order to produce a patient monitor signal that includes signal indicia indicative of effort the patient is exerting to breathe. A breathing or respiratory effort signal for the patient is extracted from the patient monitor signal. A respiratory characteristic signal is extracted (at least in part) from the effort signal. This may be done, for example, on the basis of an amplitude feature of the effort signal and a relative time of occurrence of that amplitude feature. Alternatively, the respiratory characteristic signal may be based on a relationship between two amplitude features of the effort signal, with or without regard for specifics of the times of occurrence of those amplitude features. A breath air flow meter may also be coupled to the patient, if desired, in order to produce a flow signal.

Abstract: Systems and methods for visualizing pulmonary fissures including a processor and software instructions for creating a 3 dimensional model of the fissures. Creating the 3 dimensional model includes accessing volumetric imaging data of the patient's lungs, analyzing the volumetric imaging data to segment the lungs into lobes, using the segmented lobes to identify locations at which pulmonary fissures should be present where the lobes abut each other, analyzing the volumetric images to identify locations at which pulmonary fissures actually are present as existing fissure, comparing the locations at which pulmonary fissures should be present to the locations at which pulmonary fissures are present to identify locations of missing fissure, and creating a visual display comprising a 3 dimensional model of the pulmonary fissures including existing fissure portions and missing fissure portions, with the existing fissure portion visually distinct from the missing fissure portions.

Abstract: A method detects a biological condition and detects a change in the biological condition of a mammal. The device determines if the change in the biological condition exceeds a predetermined threshold and sends a signal based at least in part on the determination.

Abstract: A heart monitoring system for a person includes one or more wireless nodes; and wearable appliance in communication with the one or more wireless nodes, the appliance monitoring vital signs.

Abstract: A wireless stethoscope is described, having wireless sensors that are enclosed in disposable pads so that the same pads are not used on more than one patient, preventing cross-infection of patients associated with conventional stethoscopes. The present wireless stethoscope also detects pulmonary sounds and cardiac sounds, allowing the user to monitor one or the other without interference. Also described is a method for diagnosing a pulmonary condition using the wireless stethoscope.

Abstract: Systems, devices and methods provide for acquiring respiration information. A respiration information device includes timer circuitry to time a plurality of shorter time apertures and a plurality of longer time apertures. A respiration sensor, which may be implemented as a transthoracic impedance sensor, is configured to generate a signal indicative of patient respiration. For each aperture of the plurality of shorter time apertures and for each aperture of the plurality of longer time apertures, an estimated characteristic of the respiration is determined. Respiration metrics are developed using one or both of the estimated respiration characteristics of the shorter time apertures and the estimated respiration characteristics of the longer time apertures.

Abstract: Apparatus and methods are described, including a method for treating a clinical episode. The method comprises sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, analyzing the parameter, detecting the clinical episode at least in part responsively to the analysis, and responsively to detecting the clinical episode, treating the clinical episode using a device implanted in the subject. Other applications are also described.

Abstract: Systems and methods provide for detecting respiration disturbances and changes in respiration disturbances, preferably by detecting variability in one or more respiration parameters. Respiration rate variability is determined for a variety of diagnostic and therapeutic purposes, including disease/disorder detection, diagnosis, treatment, and therapy titration. Systems and methods provide for generating a footprint, such as a two- or three-dimensional histogram, representative of a patient's respiration parameter variability, and generating one or more indices representative of quantitative measurements of the footprint.

Abstract: The present invention provides a new non-invasive technique for organ, e.g., heart and lung, monitoring. In at least one embodiment of the invention, a subject is radiated with a non-harmful and relatively low power electromagnetic source diagnostic signal normally associated with a communications protocol such as, but not limited to a version of the IEEE 802.11(x) family of protocols in the 2.4, 3.6, or 5 GHz spectrum bands. After passing through the patient, a return signal is acquired from the patient and compared to the original source signal. The differences between the source and modified signals are then analyzed to monitor the heart, e.g., measure heart rate and detect defects within the heart, and the lung. For example, using Doppler Effect principles, heart rate and motion can be measured from the differences in frequency, phase, and/or wavelength between the source signal and the modified signal reflected back from the heart moving within the patient.

Abstract: Systems and methods for remote monitoring of patient treatment are disclosed. A medical device may transmit telemetry directly to a patient terminal, or the medical device may be retrofitted with instrumentation for the patient terminal to collect telemetry. The patient terminal may collect patient self-reporting data. The telemetry and the self-reporting data may be sent to a cloud server, which may store the patient data. The patient data may be used to generate an alert, or it may be sent to a doctor terminal for display and review.

Abstract: This document relates to receiving and processing signals during cardio-pulmonary resuscitation (CPR) treatment. This document further relates to establishing a localized, patient-specific network for communication of information from one or more sensors to a computing device.

Abstract: A process is provided for leak testing in a respirator (10) with overpressure operation. An indicator of a breathing gas consumption is compared with an indicator of an expiration volume and a leak is detected in case of a deviation of the result of the comparison (58) from a desired value. A device is also provided for carrying out the process as well as to a respirator (10) with overpressure operation with such a device.

Abstract: A device for delivering energy as a function of degree coupling may include an external unit configured for location external to a body of a subject and at least one processor associated with the implant unit and configured for electrical communication with a power source. The device may further include a primary antenna associated with the at least one processor. The processor may be configured to determine a degree of coupling between the primary antenna and a secondary antenna associated with the implant unit, and regulate delivery of power to the implant unit based on the degree of coupling between the primary antenna and the secondary antenna.

Abstract: A system and method for aiding in the diagnosis of a respiratory dysfunction is described. More particularly, a system and method for aiding in the diagnosis of one or more pulmonary embolisms is described. The system and method described herein include a plurality of sensors, a thermal control system, and a controller coupled to the plurality of sensors and the thermal control system for aiding in the diagnosis of a respiratory dysfunction.

Abstract: A sensor system comprises a mat (20) for placement over a patient's mattress including a number of sensors (10) located in the mat. The sensors include a sensor housing (12), a sound vibration sensing element in the form of a PVDF membrane (13), and means for amplifying sensed sounds. The PVDF membrane is coated/covered with a typically latex, impedance matching layer (14). The sensor automatically provides for auscultation, in which the patient's own weight, from the patient lying on the bed, compresses their thorax against the membrane, compressing also the patient's clothing, bed sheet and mattress cover material between the two. The recoil in the mattress opposes the body mass, thus compressing the membrane against the thorax. The impedance matching layer on top of the membrane transmits fine breath sounds through to the membrane as the latex does not weaken or attenuate the fine breath sounds but transmits them to the PVDF membrane. However being flexible, it is not uncomfortable to lie on.

Abstract: A sleepiness assessment value P1 is set to be an average heart rate HR (S130). A sleepiness assessment value P2 is set to be a standard deviation ? of a respiration interval RespI for one minute (S150). A sleepiness assessment value P3 is set to be a value that is obtained by dividing, by one minute, an integrated value of a square of an average heartbeat interval RRIavg in a case where a variation in which a heartbeat interval RRI increases occurs (in a case where an RRI count value Xi is a value of one) (S190). A sleepiness assessment value P4 is set to a value that is obtained by averaging a variation ratio in a case where a variation in which the respiration interval RespI increases occurs (in a case where an RRI count value Yi is a value of one) (S210).

Abstract: The invention provides a system for measuring respiratory rate (RR) from a patient. The system includes an impedance pneumography (IP) sensor, connected to at least two electrodes, and a processing system that receives and processes signals from the electrodes to measure an IP signal. A motion sensor (e.g. an accelerometer) measures at least one motion signal (e.g. an ACC waveform) describing movement of a portion of the patient's body to which it is attached. The processing system receives the IP and motion signals, and processes them to determine, respectfully, frequency-domain IP and motion spectra. Both spectra are then collectively processed to remove motion components from the IP spectrum and determine RR. For example, during the processing, an algorithm determines motion frequency components from the frequency-domain motion spectrum, and then using a digital filter removes these, or parameters calculated therefrom, from the IP spectrum.

Abstract: Apparatuses, methods and systems for a user monitoring apparatus are disclosed. One embodiment of the user monitoring apparatus includes one or more magnetic sensors operative to sense magnetic fields applied to the user monitoring apparatus. Further, the user monitoring apparatus is operative to sense at least one biometric characteristic of a user of the user monitoring apparatus based upon the sensed magnetic field applied to the user monitoring apparatus.

Abstract: A system and method for sleep disorder diagnosis and treatment are disclosed.

Abstract: Methods and apparatus combine patient measurement data with demographic or physiological data of the patient to determine an output that can be used to diagnose and treat the patient. A customized output can be determined based the demographics of the patient, physiological data of the patient, and data of a population of patients. In another aspect, patient measurement data is used to predict an impending cardiac event, such as acute decompensated heart failure. At least one personalized value is determined for the patient, and a patient event prediction output is generated based at least in part on the personalized value and the measurement data. For example, bioimpedance data may be used to establish a baseline impedance specific to the patient, and the patient event prediction output generated based in part on the relationship of ongoing impedance measurements to the baseline impedance. Multivariate prediction models may enhance prediction accuracy.

Abstract: The present invention relates to the use of reversible dimerization of methylene blue (MB) for sensing humidity. The invention preferably uses titanate nanowires coated with MB. The self-organizational properties of MB on the surface of this nanostructured material studied by spectroscopic means revealed that the light absorption properties of the MB molecules are humidity dependent. Based on the observed humidity dependent metachromasy, we fabricated a humidity sensor using optical fiber technology which is adapted for medical, industrial or environmental applications. The sensor operates with excellent linearity over the relative humidity (RH) levels ranging from 8 to 98%. The response and recovery time can be reduced to 0.5 s while the device exhibits excellent reproducibility with low hysteresis. These performances allow the implementation of the sensor in a breathing monitoring system. Furthermore, the metachromasy was observed for other dyes.