The disclosure provides wearable cardiac arrest detection and alerting device that incorporates a non-invasive sensor based on optical and/or electrical signals transmitted into and received from human tissue containing blood vessels, and that transcutaneously quantifies the wearer's heart rate. The heart-rate quantification enables the detection of the absence of any heart beat by the wearable detection and alerting device indicative of the occurrence of a cardiac arrest, wherein the heart is no longer achieving effective blood circulation in the individual wearing the device. The display on the wearable cardiac arrest detection and alerting device may include the elapsed time since the time of detection of a heart rate that is below a predetermine lower limit value, i.e., the detected occurrence of a cardiac arrest event.

A headset comprise a frame and a vibration sensor coupled to the frame. The vibration sensor may be located in a nosepad of the frame, and configured to measure tissue vibrations of a user when the headset of worn by the user. A controller receives a signal corresponding to the measured vibration data from the vibration sensor, and analyzes the received signal to infer a sequence of states of the received signal, such as a sequence of respiratory states. The controller further determines a value of a health metric based upon the inferred sequence of states, e.g., a respiratory rate of the user, and performs an action using the determined value of the health metric.

A system for providing treatment adapted to clear lung airways, the system including at least one pressure applicator adapted, when activated, to apply pressure at at least one specific location on a torso of a patient, and, when deactivated, to release the pressure, a sensor for sensing a signal associated with the patient, and, a controller, in communication with the sensor, adapted to analyze the signal and to control activation and deactivation of the at least one pressure applicator based, at least in part, on analyzing the signal. Related apparatus and methods are also described.

An acoustic sensor is configured to provide accurate and robust measurement of bodily sounds under a variety of conditions, such as in noisy environments or in situations in which stress, strain, or movement may be imparted onto a sensor with respect to a patient. Embodiments of the sensor provide a conformable electrical shielding, as well as improved acoustic and mechanical coupling between the sensor and the measurement site.

Audio signals, collected with equipment commonly available to individuals (e.g., a mobile device), can be used to analyze a patient’s breathing. An audio signal associated with the patient’s breathing for a time period can be detected with the mobile device and used to approximate the patient’s respiratory flow for the time period. For example, the audio signal can be analyzed by determining a representation of an audio frequency of the audio signal, splitting the audio frequency of the audio signal into distinct time steps, determining points comprising a weighted mean frequency at each time step, applying a frequency-to-flow rate linear transformation at each time step to approximate the respiratory flow versus time, and plotting a graphical representation of the respiratory flow versus time. The respiratory flow for the time period can be tagged with a factor related to the patient and saved in a database for future analysis.

A system is provided for detecting lung abnormalities in a subject. The system comprises a first sensor, for sensing a first acoustic signal generated by, or applied to, the subject and an arrangement of one or more second sensors for detecting a plurality of second acoustic signals from the lungs of the subject, wherein the second acoustic signals comprise attenuated versions of the first acoustic signal after passing through the lungs of the subject. The system further comprises a processor, wherein the processor is configured to determine a respective signal attenuation between the first acoustic signal and at least a subset of the plurality of second acoustic signals and process the signal attenuations thereby to detect a lung abnormality.

A method for predicting the presence of a malady of the respiratory system in a subject comprising: operating at least one electronic processor to transform one or more sounds of the subject that are associated with the malady into corresponding one or more image representations of said sounds; applying said one or more representations to at least one pattern classifier trained to predict the presence of the malady; and operating said processor to predict the presence of the malady in the subject based on at least one output of the at least one pattern classifier.

A wheeze detection device that allows suppressing a noise and improving detection accuracy of wheezing. The device includes a first microphone configured by a MEMS microphone, a space-forming member (a first housing, an O-ring, a flexible circuit board, and a second housing) forming an accommodation space that accommodates the first microphone, and a housing cover that forms a pressure receiving unit that closes the accommodation space and receives a pressure from a body surface. The space-forming member has a hole portion connected to an atmosphere. The accommodation space is connected to the atmosphere via the hole portion. The hole portion includes branch portions to between a groove and a terminal and two branched hole portions branched at each branch portion from a side of the groove. One branched hole portion among the two branched hole portions is connected to the terminal. The other branched hole portion is closed.

Embodiments of the present disclosure relate to transcutaneous sound sensors. In at least one embodiment, a transcutaneous sound sensor system comprises a mounting unit and a sound sensor. The mounting unit detachably connects to an electronics unit and mounts to skin on a body. The sound sensor senses sounds originating from inside the body. The sound sensor comprises an in-vivo portion and an ex-vivo portion. The in-vivo portion is configured to be inserted through and placed beneath the skin of the body. In addition, the in-vivo portion has a sound-sensing element configured to produce an electrical signal in response to a mechanical stress or strain on the sound-sensing element. The ex-vivo portion is configured to operably connect to the electronics unit when the electronics unit is connected to the mounting unit.

Embodiments of the present disclosure relate to determining an optimal location on the body of a person where heart sounds may be optimally heard. The optimal location may be determined at a time prior to the attempted auscultation and ECG data corresponding to the optimal location may be stored in a memory of an auscultation device. Subsequently, when a e.g., physician wishes to listen to the heart sounds of the person, the physician may place the auscultation device at a first location on the patient. The auscultation device may periodically perform an ECG at a current location and use the ECG data at the current location and the ECG data at the optimal location to determine and provide guidance to the physician regarding a direction in which the auscultation device should be moved in order to reach the optimal location.