Abstract: Embodiments include a method and system for providing data to a user of a wearable sensor platform. The method may be performed by a least one software component executing on at least one processor. The method includes capturing data for the user using at least one sensor in the wearable sensor platform. The data includes physiological data and artifact data. The physiological data includes noise data therein. A confidence indicator for the data is determined based on at least one of the physiological data and the artifact data. A physiological data signal corresponding to the physiological data and the confidence indicator is provided to the user on the wearable device platform.

Abstract: An exercise test evaluation system includes an acceleration sensor that is worn by a user during an exercise test and acquires acceleration values of a foot of the user, a heart rate sensor that is worn by the user and measures a heart rate of the user, and a processor. The processor acquires a first maximum acceleration value and a second maximum acceleration value, calculates a reliability score using the first and second maximum acceleration values, acquires a walking velocity and a heart rate of the user and estimates a maximum oxygen intake amount using the user's walking velocity and heart rate if the reliability score is equal to or higher than a specific threshold value, and estimates the maximum oxygen intake amount using the user's walking velocity if the reliability score is lower than the specific threshold value.

Abstract: An electronic device (200) for monitoring of retail objects comprising at least one processing means (210), at least one communication means (220) for wireless transmission where transmissions are transmitted at a pulse rate, at least one movement detection means (240) for detecting events, wherein the pulse rate of transmission changes between different pulse rates of transmission based on events.

Abstract: The present disclosure relates to a method and a system for validating inspiratory muscle activity of a patient. Left and right electrical activity signals respectively representing activity of a left muscle and of a right muscle synchronized with an inspiratory effort of the patient are acquired from non-invasive sensors. A cardiac activity signal is extracted from the left and right electrical activity signals. A synchrony, a symmetry or a proportionality of the left and right electrical activity signals from which the cardiac activity signal is extracted is verified. A mechanical ventilation system incorporating the system for validating inspiratory muscle activity of the patient is also disclosed.

Abstract: A bio-signal processing apparatus, a biometric information detection apparatus, and a method of detecting biometric information are provided. The bio-signal processing apparatus includes a first low pass filter (LPF) configured to have a first cutoff frequency, and output a first preprocessed signal having low frequency components of an input bio-signal that are less than the first cutoff frequency, a second LPF configured to have a second cutoff frequency, and output a second preprocessed signal in which high frequency components greater than or equal to the second cutoff frequency are removed from the input bio-signal, and a processor configured to output an output bio-signal for biometric information detection, based on the output first preprocessed signal and the output second preprocessed signal.

Abstract: An example method for detecting respiratory disturbances experienced by a subject can include receiving an airflow signal and at least one of an acoustic or vibration signal, where the airflow, acoustic, and/or vibration signals are associated with the subjects breathing. At least one feature can be extracted from the airflow signal and at least one feature can be extracted from at least one of the acoustic or vibration signal. Based on the extracted features, at least one respiratory disturbance can be detected. The respiratory disturbance can be flow limited breath or inspiratory flow limitation (“IFL”).

Abstract: The present disclosure is concerned with a skin treatment device having at least a first LED, at least a first controllable current source, in particular a first controllable constant current source, for driving the first LED, a control unit for controlled switching of at least the first controllable current source between a first state in which current is provided to the first LED and a second state in which no current is provided to the first LED, and at least a first current sensor that is connected or connectable with the first LED so that the first current sensor and the first LED form a current path at least in the second state of the first controllable current source.

Abstract: A system generates and displays a clinical metric based on continuously collected patient physiological data, wherein the clinical metric provides a predictive measure of the likelihood of the onset of a cardiorespiratory deterioration event in the patient in a predetermined time period in the future. If the clinical metric has a configured relationship with a predetermined threshold value, embodiments may generate an alarm in addition to or instead of displaying the clinical metric. The clinical metric thus allows clinical staff to take medically indicated actions to prevent or reduce the effects of the predicted deterioration.

Abstract: A computer-implemented method for estimating biophysiological rates using the Hilbert transform includes receiving a quasiperiodic data stream from a biophysiological sensor, and removing at least a portion of an offset from the quasiperiodic data stream to provide a smoothed data stream by filtering the quasiperiodic data stream through a bandpass filter and phase compensating the filtered quasiperiodic data stream. The method also includes transforming the smoothed data stream into an analytic data stream using a Hilbert transform approximation and calculating the time derivative of the phase angle of the analytic data stream, where the time derivative is a frequency of the quasiperiodic data stream. The method further includes providing an output data stream derived from the frequency.

Abstract: Apparatus and methods for bone conduction detection are disclosed herein. An example wearable device includes a first sensor positioned to generate first vibration information from a bone structure of a user and a second sensor positioned to generate second vibration information from the bone structure of the user. The first vibration information and the second vibration information include sound data and motion data. The motion data is indicative of a motion by the user. The example wearable device includes a signal modifier to generate a modified signal including the sound data based on the first vibration information and the second vibration information. The example wearable device includes a communicator to transmit the modified signal for output via a speaker.

Abstract: A method and system for measuring psychological stress disclosed. In a first aspect, the method comprises determining R-R intervals from an electrocardiogram (ECG) to calculate a standard deviation of the R-R intervals (SDNN) and determining a stress feature (SF) using the SDNN. In response to reaching a threshold, the method includes performing adaptation to update a probability mass function (PMF). The method includes determining a stress level (SL) using the SF and the updated PMF to continuously measure the psychological stress. In a second aspect, the system comprises a wireless sensor device coupled to a user via at least one electrode, wherein the wireless sensor device includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to carry out the steps of the method.

Abstract: A method, including selecting an initial set of electrocardiograph (ECG) signals taken over a single heartbeat of a human subject, the set having respective morphologies to be used as a template for an arrhythmia of the subject, and receiving a subsequent set of ECG signals taken over a subsequent heartbeat of the human subject. The method also includes performing a cross-correlation between the initial set and the subsequent set, so as to generate a correlation coefficient that is a measure of a goodness of fit between geometries of the initial set and the subsequent set, and, when the correlation coefficient exceeds a threshold coefficient, accepting the subsequent heartbeat as having been caused by the arrhythmia.

Abstract: An apparatus for detecting sleep disorders, such as obstructive sleep apnea, includes a housing insertable into an ear canal of a subject. A sensor disposed within the housing measures a position of the subject's head relative to an axis of gravity. A transducer is responsive to the sensor and is capable of creating a stimulus detectable by the subject under certain conditions. In various embodiments, a controller receives signals corresponding to a pitch angle and a roll angle of the subject's head measured by the sensor, determines if the pitch and roll angles correspond to a sleep apnea inducing position, and causes the transducer to generate a stimulus upon determining that the subject's head is in the sleep apnea inducing position more than a predetermined threshold number of times. Various parameters of the stimulus may be modified with successive stimulus generation until a non-sleep apnea inducing position is detected.

Abstract: A method for detecting thresholds in a breathing session is disclosed. The method comprises recording breathing sounds of a subject using a microphone. The method further comprises processing the breathing sounds to generate an audio respiratory signal and recognizing a plurality of breath cycles from the audio respiratory signal. Additionally, the method comprises extracting metrics related to a breath intensity and a breath rate from the plurality of breath cycles and producing a plurality of vectors using the metrics related to the breath intensity and the breath rate. Further, the method comprises calculating a master vector by summing the plurality of vectors and assigning each value in the master vector with a weighting coefficient and determining the thresholds using peak values in said master vector.

Abstract: The present invention relates to method and a system for detecting sleep phenomena, the phenomena including at least one of sleep cycles and sleep disorders such as sleep apnea and hypopnea. Ballistocardiologic signals are detected from a subject person, which provide simultaneous information on heart rate variability (HVV) and stroke volume (SV) of the subject. Values of parameters reflecting measured characteristics of currently occurring cardiologic and respiration related sleep phenomena are obtained by processing at least said ballistocardiologic signals. Obtained parameters are used for making decisions on detection of said sleep phenomena, and a monitoring result is output in response to detection of a currently occurring sleep phenomenon.

Abstract: A terminal, which includes: an operation mode adjusting unit configured to receive an operation mode adjustment instruction generated at least based on the current physiological characteristic data of the terminal's user, and set the terminal's operation mode according to the operation mode adjustment instruction. More intelligent terminal operation mode switching is achieved in the terminal through setting the operation mode of terminal by operation mode adjusting instruction generated at least based on the current physiological characteristic data of the terminal's user, thereby, user experience is improved. An information processing apparatus, a device and method for adjusting operating modes of the terminal are further provided.

Abstract: Systems, devices, and methods for pacing a heart of a patient are disclosed. In some embodiments, a method for pacing a patient's heart may include determining a posture of the patient and determining if the determined posture corresponds to a predetermined sleep posture. If the determined posture correspond to the predetermined sleep posture, the method may further comprise determining a respiration phase of the patient and pacing the patient's heart at a pacing rate that is modulated based on the determined respiration phase of the patient. If the determined posture does not correspond to the predetermined sleep posture, the method may pace the patient's heart at a pacing rate that is not dependent on the respiration phase of the patient.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining sleep stages and sleep events using sensor data. In some implementations, sensor data is obtained over a time period while a person is sleeping. The time period is divided into a series of intervals. Heart rate and changes in the heart rate are analyzed over the intervals. Based on the analysis of the heart rate changes, sleep stage labels are assigned to different portions of the time period. An indication of the assigned sleep stage labels is provided.

Abstract: Methods and devices for correcting electrocardiogram (EKG) indication saturation may include receiving an EKG indication from at least one sensor and determining that a saturation condition has been met in response to receiving the EKG indication. Additionally, the methods and devices may include incrementing an EKG saturation level based on a determination that the saturation condition has been met. Moreover, the methods and devices may include determining whether the EKG saturation level satisfies an EKG saturation threshold. The methods and device may include disregarding at least a second EKG indication in accordance with a determination that the saturation level satisfies the EKG saturation threshold. The methods and devices may further include transmitting the second EKG indication to an output device in accordance with a determination that the saturation level does not satisfy the EKG saturation threshold.

Abstract: Non-invasive monitoring of cardiovascular health is performed by monitoring changes in the volume of blood in the venous side of the vascular system. The blood volume changes are determined from measurements of bioimpedance of limbs or neck, in particular changes in bioimpedance in response to blood modulating events performed on the limbs or neck, where bioimpedance is measured and compared before and after such events.

Abstract: A device and method for bioimpedance spectrography corrects for breathing artifacts. A breathing signal is used in conjunction with an impedance signal to adjust for a point in time within a respiratory cycle of a user at which the measurements are made. The correction allows the device to characterize tissue parameters accurately with fewer measurement points.

Abstract: A process for manufacturing a fabric pressure sensor comprises cutting a sensing fabric to a pre-determined size, connecting a flexible electric wire with a wire of the sensing fabric by sewing, fixing the sensing fabric by means of a clamping positioner at a pre-determined tension, bonding a lower conversion layer with the sensing fabric by means of a lower conversion layer positioning box, bonding an adjustable column with the sensing fabric by means of an upper conversion layer positioning box, and bonding the upper conversion layer with the adjustable column by means of the upper conversion layer positioning box. A tool for manufacturing the sensor comprises an electrical property measuring device, a wire connecting tool, and a sensor structural component assembling tool. The present invention provides an easy and convenient way of manufacturing a fabric pressure sensor, monitoring the quality of manufacture, and enhancing the manufacturing precision and product yield.

Abstract: A system and method for presenting information relating to heart data can involve operations including identifying arrhythmia events in physiological data obtained for a living being, receiving human assessments of at least a portion of the arrhythmia events, determining a measure of correlation between the human assessments and the identified events, and selectively presenting information regarding the identified events based on the measure of correlation. The operations can also include identifying atrial fibrillation events in physiological data obtained for a living being, obtaining heart rate data for the living being, and presenting information regarding the heart rate data and duration of the atrial fibrillation events together with a common time scale to pictographically represent heart rate trend with atrial fibrillation burden during a defined time period.

Abstract: Medical devices and methods for making and using medical devices are disclosed. An example medical device may include a medical device for measuring blood pressure. The medical device may include an elongated shaft having a proximal region and a distal region. An optical fiber may extend along the proximal region. An optical pressure sensor may be coupled to the optical fiber. The medical device may also include a tubular member having a proximal end disposed adjacent to the optical pressure sensor and a distal portion extending along the distal region of the shaft.

Abstract: A system for providing information about a patient's heart, the system including one or more catheters that receive intracardiac signals from electrical activity of the heart over one or more heart beat cycles and an electronic processor coupled to the one or more catheters. The electronic processor to: receive the intracardiac signals from the one or more catheters; preprocess the intracardiac signals to provide preprocessed signals, wherein each of the intracardiac signals is preprocessed to provide a corresponding preprocessed signal; and compare the preprocessed signals to a set of signals to determine a degree of similarity between each of the preprocessed signals and the set of signals.

Abstract: Embodiments of the present invention are directed to a computer-implemented method for stress monitoring. Methods include receiving, by a processor, a plurality of user stress labels corresponding to a plurality of events. Methods also include determining an individualized stress profile based at least in part upon the user stress labels. Methods also include receiving heart rate sensor data from a wearable device. Methods also include extracting a cardiovascular feature from the heart rate sensor data. Methods also include determining a stress index based at least in part upon the individualized stress profile and the cardiovascular feature. Methods also include outputting the stress index.

Abstract: A method of identifying a breath comprises sensing a signal generated by a living human or animal body and separating the signal into a plurality of frequency bands to identify a breath candidate.

Abstract: Apparatus for monitoring a clinical condition of a subject is described. At least one motion sensor detects motion of the subject and generates a sensed motion signal responsive to the sensed motion. A signal analyzer is adapted to determine a heartbeat-related signal from the sensed motion signal, to determine a first breathing-rate-related signal from the heartbeat-related signal, and to determine a second breathing-rate-related signal directly from the sensed motion signal. The signal analyzer determines the validity of the heartbeat-related signal by comparing the first breathing-rate-related signal with the second breathing-rate-related signal. Other applications are also described.

Abstract: A method and apparatus for providing biofeedback during a meditation exercise are disclosed. In one aspect, the wearable device includes one or more biometric sensors and a user interface. The method may involve prompting the user, via the user interface, to perform a meditation exercise, the meditation exercise being associated with a target physiological metric related to the physiology of the user. The method may involve measuring, based on output of at least one of the one or more biometric sensors, a physiological metric of the user during the meditation exercise. The method may involve determining a performance score indicating the user's performance during the meditation exercise based on comparing the measured physiological metric with the target physiological metric. The method may involve providing, via the user interface, based on the performance score, feedback information indicative of the user's performance during the meditation exercise.

Abstract: According to an aspect, there is provided a method for measuring the intracranial pressure, ICP, in a subject, the method comprising detecting whether spontaneous retinal venous pulsations, SRVPs, are occurring in an eye of the subject as the orientation of the head of the subject changes; identifying the orientation of the head of the subject at which SRVPs start to occur or stop occurring; and using the identified orientation of the head of the subject at which SRVPs start to occur or stop occurring to determine the ICP in the subject.

Abstract: A system and method for detecting arrhythmic electrocardiogram (ECG) signals includes defining a plurality of threshold heart rates and rate-dependent sensitivity levels for detecting arrhythmic ECG episodes, wherein more clinically relevant heart rates are assigned rate-dependent sensitivity levels with higher sensitivities. ECG signals are monitored by a medical device, and monitored ECG signals are processed using the plurality of threshold heart rates and rate-dependent sensitivity levels to detect and capture arrhythmic ECG segments.

Abstract: An alertness device includes: a respiration sensor that obtains respiratory data of a person; a calculation unit; a waveform generation unit that generates a respiratory interval (RI) waveform which is a transition in a predetermined time period of an RI which is an interval for one respiration; and a determination unit. The calculation unit calculates an average value of the RI and RrMSSDn in a predetermined time period. In a case where an average value of the subsequent RI is greater than an average value of the RI directly previous to the subsequent RI and in a case where the RrMSSDn of the subsequent RI is greater than a value which is obtained by multiplying the RrMSSDn of the previous RI by a constant ?, the determination unit determines on the basis of values calculated by the calculation unit that the person is in a state of low alertness.

Abstract: The present invention provides a kit comprising a unibody auscultation interface for use with mechanical ventilation or intubation, formed from a single contiguous nonmetallic piece, the piece being shaped into a cylindrical member having opposing ends respectively adapted to frictionally connect to the external end of an endotracheal tube and either the stem of a Y piece or the patient end of a common conduit, the cylindrical member having an opening in its wall, the perimeter of which seamlessly elaborates a flared turret whose roof is adapted for non-adherent contact with the chest piece of a stethoscope; and, packaging moans for enclosing the auscultation interface aseptically. The present invention additionally provides an endotracheal tube, Y piece, breathing circuit and mechanical ventilation system incorporating the auscultation interface.

Abstract: A wearable ECG system includes a plurality of electrodes; a multiplexor, the multiplexor including an input port, two output ports, and a control port, the input port of the multiplexor being connected with the electrodes; an analog detection module being connected with one output port of the multiplexor; a digital detection module being connected with the other output port of the multiplexor; a processor being connected with the control port of the multiplexor and the digital detection module; and a motion detection module connected with the processor and configured to detect acceleration of the wearable ECG system and output an electrical signal accordingly. The processor is configured to receive the electrical signal from the motion detection module, and control the multiplexor to selectively transmit output of the electrodes to the analog detection module or the digital detection module based on the electrical signal.

Abstract: Methods for providing predictive notifications to a monitoring device are provided. In one aspect, a method includes receiving retrospective patient data collected from a plurality of medical devices, and determining, based on a comparison of the retrospective patient data with current patient data for a patient from a medical device, a likelihood of a potential adverse medical event occurring for the patient. The method also includes providing a notification to a monitoring device indicative of the potential adverse medical event for the patient. Systems, graphical user interfaces, and machine-readable media are also provided.

Abstract: Systems and methods for managing communication strategies between implanted medical devices. Methods include temporal optimization relative to one or more identified conditions in the body. A selected characteristic, such as a signal representative or linked to a biological function, is assessed to determine its likely impact on communication capabilities, and one or more communication strategies may be developed to optimize intra-body communication.

Abstract: Systems and methods for quantifying the likelihood of the contribution of multiple possible forms of chronic disease to patient reported dyspnea can include the testing protocol having a flow/volume loop, performed at rest, flowed by the measurement of cardiopulmonary exercise gas exchange variables during rest, exercise and recovery as unique data sets. The data sets are analyzed using feature extraction steps to produce a pictorial image consisting of disease silos displaying the likelihood of the contribution of various chronic diseases to patient reported dyspnea. In some embodiments, the silos are split into subclass silos. In some embodiments, multiple chronic disease indexes are used to differentiate between sub-types of a particular chronic disease (e.g., differentiating WHO 1 PH from WHO 2 or WHO 3 PH). Test results are plotted serially to asses to provide feedback to the physician on the efficacy of therapy provided to the patient.

Abstract: A physiological parameter measurement device comprising a processor and a video processing module coupled to the processor to divide each of a plurality of frames of a video into a plurality of blocks, where the video is of a body part of a subject whose physiological parameter is to be determined. The video processing module further is to select a block having highest peak signal to noise ratio (PSNR) from amongst the plurality of blocks. Further, the video processing module is to extract a photoplethysmogram (PPG) signal from the video based on a block identifier associated with the block. The physiological parameter measurement device further comprises a signal enhancement module coupled to the processor, to process the PPG signal to obtain an enhanced PPG signal for determining a value of the physiological parameter for the subject.

Abstract: The subject matter discloses a noninvasive method and device for detection, measurement and monitoring of Pulmonary Interstitial fluid—Extravascular Lung Water —volumes in inpatient settings: Intensive Care Units, Emergency Rooms, Internal Hospital Departments, and daily monitoring of chronic patient in outpatient settings: outpatient departments, rehab centers and Home monitoring. The disclosed method is based on the analysis of lung tissue thermodynamic properties, and their deviation from normal value. The device measures the rate of temperature change of a lung tissue by measuring the exhaled gas temperature changing rate during cooling/heating of lung tissue. The cooling/heating of lung tissue may be achieved by prompt changing one of the inhaled gas parameters temperature, and/or humidity, and/or rate of breathing, and/or tidal volume, and/or type of gas and etc. The change is performed at the beginning of measurement, and is kept during entire measurement time.

Abstract: Techniques and systems are described that enable improved gesture discernment from input devices, as well as simplified modeling and processing of gestures by application software layers. Given data (e.g., about movements, actions, or events) gathered from input devices, techniques and systems allow gestures to be discerned and inferred more formally and reliably, and processed more easily by an application layer. A gesture interpreter is provided that, in response to receiving an activation input data from an input device, instantiates a high-level Petri Net instance, executes the high-level Petri Net instance, and returns, to an application layer, an outcome gesture indicative of a terminal node in a path of the high-level Petri Net instance being traversed during the execution of the high-level Petri Net instance.

Abstract: A physiological monitoring system features a Floormat and Handheld Sensor connected by a cable. A user stands on the Floormat and grips the Handheld Sensor. These components measure time-dependent physiological waveforms from a user over a conduction pathway extending from the user's hand or wrist to their feet. The Handheld Sensor and Floormat use a combination of electrodes that inject current into the user's body and collect bioelectric signals that, with processing, yield ECG, impedance, and bioreactance waveforms. Simultaneously, the Handheld Sensor measures photoplethysmogram waveforms with red and infrared radiation and pressure waveforms from the user's fingers and wrist, while the Floormat measures signals from load cells to determine ‘force’ waveforms to determine the user's weight, and ballistocardiogram waveforms to determine parameters related to cardiac contractility.

Abstract: A stand-on physiological sensor (e.g. floormat) measures vital signs and various hemodynamic parameters, including blood pressure and ECG waveforms. The sensor is similar in configuration to a common bathroom scale and includes electrodes that take electrical measurements from a patient's feet to generate bioimpedance waveforms, which are analyzed digitally to extract various other parameters, as well as a cuff-type blood pressure system that takes physical blood pressure measurements at one of the patient's feet. Blood pressure can also be calculated/derived from the bioimpedance waveforms. Measured parameters are transmitted wirelessly to facilitate remote monitoring of the patient for heart failure, chronic heart failure, end-stage renal disease, cardiac arrhythmias, and other degenerative diseases.

Abstract: Systems and methods for improving the heart rate coherence and/or heart rate variability of a subject use a respiratory therapy device to provide breathing cues that prompt a subject to breathe such that various respiratory and coronary parameters are aligned, for example in phase.

Abstract: According to embodiments of the present invention, an air conduction sensor for detecting a sound from a user is provided. The air conduction sensor includes a housing comprising an opening, wherein a rim of the opening is configured to at least substantially attach to a skin or a clothing of the user; a microphone coupled to the housing such that there is an air gap between the microphone and the skin or the clothing, and wherein the microphone is configured to detect the sound. A system and a method for monitoring a health condition of a user are also provided.

Abstract: A system and method for sensing a user presence via thermal signature sensing employs adaptive filtering of a motion spectrum to discern a user presence signature over background thermal noise. In an embodiment, adaptive sub-band filters are applied within the motion spectrum, and a user presence is indicated by the presence of a thermal signature having at least a predetermined magnitude or profile within any searched sub-band. In an embodiment, a low pass filter is applied to search for a stationary presence if the sub-band search procedure does not yield a user thermal signature.

Abstract: Disordered breathing events may be classified as central, obstructive or a combination of central an obstructive in origin based on patient motion associated with respiratory effort. Central disordered breathing is associated with disrupted respiration with reduced respiratory effort. Obstructive disordered breathing is associated with disrupted respiration accompanied by respiratory effort. A disordered breathing classification system includes a disordered breathing detector and a respiratory effort motion sensor. Components of the disordered breathing classification system may be fully or partially implantable.

Abstract: The invention relates to a method and device for carrying out a signal-processing viewing of a measurement signal that is correlated with the respiratory activity of an individual, for example, of a measurement signal that is correlated with the respiratory gas. The aim of the invention is to provide solutions with which an improved electronic analysis of the signals that are representative with regard to respiratory activity can be achieved. To this end, the invention provides that viewing results are obtained within the scope of a signal-processing viewing of said measurement signal and make a differentiation between obstructive and central respiratory disorders possible. The viewing results are determined, in particular, while taking into account changes of selected breathing characteristics such as, for example, the change in the ratio of inhalation time to exhalation time.

Abstract: A system and method for hemodynamic dysfunction detection may include at least one sensor configured to received one or more signals from a patient, a computing device in data communication with the at least one sensor, a computer-readable storage medium in communication with the computing device, an input device, and an output device. The system may include computer readable instructions to cause the system to receive at least one signal in the time domain from the sensor, determine at least one metric in the frequency domain from the at least one signal in the time domain, and determine the cardiovascular state of the patient from a combination of the at least one metric in the frequency domain and information contained in at least one database of cardiovascular states. The system may also notify a user of a immanent patient cardiovascular event and recommend one or more interventions to mitigate it.

Abstract: Disclosed herein, among other things, are methods and apparatus related to identification of apnea type. One aspect of the present subject matter provides a method for real-time apnea discrimination. The method includes sensing an impedance-based tidal volume signal to monitor a respiratory cycle of a patient, and detecting a reduction in tidal swing using the sensed impendence to detect an apnea event. When the apnea event is detected, a shape of the sensed signal is compared to a stored signal shape to determine whether the apnea event is primarily an obstructive sleep apnea (OSA) event or primarily a central sleep apnea (CSA) event, in various embodiments.

Abstract: The navigation solution of a device may be enhanced by perforating multiple pass smoothing. Forward and backward processing of the input data may be performed to derive interim navigation solutions. One or more quantities of the interim navigation solutions may be combined to smooth the quantities. At least one additional pass of forward and backward processing may then be performed using quantities of the navigation solution that were combined to enhance the interim navigation solutions. Next, at least one uncombined quantity of the navigation solution from the enhanced interim navigation solution is combined to provide an enhanced smoothed navigation solution. Additional passes may be performed to combine other quantities of the navigation solution as desired.