A method for generating a flow profile of an inhalation device is described. The method comprises the step of measuring acoustic emissions induced by inhalation flow through the inhalation device. The method further comprises the step of detecting peak frequencies in the measured acoustic emissions and generating a flow profile based on the detected peak frequencies. A corresponding device is also described.

A CPAP device for delivering pressurized, humidified breathable gas for a patient includes a flow generator configured to pressurize a flow of breathable gas. The flow generator includes an air outlet and a removable water container configured to humidify the pressurized breathable gas received from the flow generator. The water container includes an air inlet and an air outlet. The CPAP device further includes a first elastomeric face seal configured to sealingly abut against a substantially flat portion of the water container surrounding the water container air inlet, the first elastomeric face seal being located at an intermediate position between the flow generator air outlet and the water container air inlet when the water container is placed into position to pneumatically communicate with the flow generator. In addition, the CPAP device includes a second elastomeric face seal, a portion of which is configured to sealingly abut against a substantially flat external surface portion of the water container surrounding the water container air outlet.

This document discusses, among other things, systems and methods to determine an indication of contractility of a heart of a patient using received physiologic information, and to determine blood pressure information of the patient using the heart sound information and the determined indication of contractility of the heart. The system can include an assessment circuit configured to determine an indication of contractility of a heart of the patient using first heart sound (S1) information of the patient, and to determine blood pressure information of the patient using second heart sound (S2) information of the patient and the determined indication of contractility of the heart.

A method to measure sound-producing behaviors of a subject with a power- and bandwidth-limited electronic device that includes a processor includes measuring, by a microphone communicatively coupled to the processor, sound in a vicinity of the subject to generate an audio data signal that represents the sound. The method also includes measuring, by at least one second sensor communicatively coupled to the processor, at least one parameter other than sound to generate at least a second data signal that represents the at least one parameter other than sound. The method also includes detecting one or more sound-producing behaviors of the subject based on: both the audio data signal and the second data signal; or information derived from both the audio data signal and the second data signal.

At least one swing value is determined responsive to a difference between maximum and minimum amplitude values of an auscultatory sound signal within a temporal region of a heart-cycle segment spanning an entire heart cycle of an auscultatory sound signal, wherein a location of at least one temporal region is responsive to a duration of the heart-cycle segment. S4 sound presence is detected responsive to ratio of S4.sub.SWING to S2.sub.SWING in relation an associated median value thereof from a population of test-subjects. A Support Vector Machine trained responsive to age, sex, S4 presence and a plurality of heart sound swing measures provides for detecting CAD. Unsupervised classification of an S3swing and median and mean values of a Short Time Fourier Transform within associated frequency intervals, based upon data from a plurality of heart cycles of a plurality of test-subject provides for detecting presence of an S3 sound.

An infant sleep device may include a platform for supporting an infant, a base upon which the platform is supported, and one or more weight sensors positioned to measure weight of an infant positioned on the platform.

A non-invasive and convenient method and apparatus for approximation of left ventricular end diastolic pressure (LVEDP) can be used in both hospital/clinic environments and nursing home or home environments. The method and apparatus use non-invasive sensors and a new “cardiac triangle” computational method to obtain an approximation of LVEDP. The computational method uses hemodynamic and electrocardiogram (ECG) waveforms as input, which can be collected by a portable device or devices.

A non-invasive and convenient method and apparatus for approximation of left ventricular end diastolic pressure (LVEDP) can be used in both hospital/clinic environments and nursing home or home environments. The method and apparatus use non-invasive sensors and a new “cardiac triangle” computational method to obtain an approximation of LVEDP. The computational method uses hemodynamic and electrocardiogram (ECG) waveforms as input, which can be collected by a portable device or devices.

An analyzer for diagnosing pulmonary and abdominals including, a pulsed force generator for outputting a mechanical disturbance to generate vibrations and reflected/return waves/vibrations in a patient's torso, and sensors for detecting the vibration/return wave signals. The apparatus compares the detected electrical signals with pre-stored reference wave profiles and based on the compared data generates an output signal indicative of a potential presence or absence of a pulmonary disease and/or condition.

An analyzer for diagnosing pulmonary and abdominals including, a pulsed force generator for outputting a mechanical disturbance to generate vibrations and reflected/return waves/vibrations in a patient's torso, and sensors for detecting the vibration/return wave signals. The apparatus compares the detected electrical signals with pre-stored reference wave profiles and based on the compared data generates an output signal indicative of a potential presence or absence of a pulmonary disease and/or condition.