The present disclosure discloses an intelligent screening algorithm and automatic upgrading system for congenital heart diseases of newborns based on big data. The key point of the technical solution is as follows: The intelligent screening algorithm and automatic upgrading system includes a heart sound data module, a heart sound data processing module, a blood oxygen data module, a blood oxygen data processing module, a network upgrading module, a database, an intelligent analysis module and a congenital heart disease evaluation module; the heart sound data module is configured to acquire various data of heart sounds of a newborn for centralized processing; and the heart sound data processing module is configured to process the data in the heart sound data module and extract heart sound feature parameters.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

A method for analyzing an acoustic signal having a time period and having a plurality of repeated audio patterns, has the following steps: receiving an audio signal having the acoustic signal; determining the audio patterns repeated within the acoustic signal; determining a window length for a plurality of windows, wherein the window length divides the time period of the acoustic signal into the plurality of windows; and windowing the acoustic signal to obtain the plurality of windows.

The invention relates to an auscultation device (1) for capturing and evaluating body sounds, having an auscultation element (2) having a housing (4, 4a) and arranged therein: an audio system (5), a power supply (6), a computing unit (7), means for data transmission (7a) and a control interface (8), and having a data processing system having a user interface (10), means for data transmission (14a), a memory (13) and a computing unit (14), wherein the audio system (5) comprises at least one microphone unit (5a, 5b) for capturing the body's own sounds and this at least one microphone unit (5a, 5b) comprises a microphone (i) and a connection element (ii) between microphone (i) and housing (4, 4a).

A method for continuous acoustic signature recognition and classification includes a step of obtaining an audio input signal from a resonant microphone array positioned proximate to a target, the audio input signal having a plurality of channels. The target produces characterizing audio signals depending on a state or condition of the target. A plurality of features is extracted from the audio input signal with a signal processor. The plurality of features is classified to determine the state of the target. An acoustic monitoring system implementing the method is also provided.

Systems and methods for correlating inputs found external to a user to inputs measured from the user are disclosed, using wearables, various types of non-wearable sensors, and other external data sources and mobile device technology. Pattern matching and rules can be used to provide useful suggestions or control external machines based on the correlated inputs.

Systems and methods for correlating inputs found external to a user to inputs measured from the user are disclosed, using wearables, various types of non-wearable sensors, and other external data sources and mobile device technology. Pattern matching and rules can be used to provide useful suggestions or control external machines based on the correlated inputs.

Embodiments herein relate to ear-wearable systems and devices that can detect allergic reactions. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, and a sensor package. The ear-wearable device can be configured to evaluate at least one of signals from the microphone, signals from the sensor package, signals from an external sensor, and contextual factor data, and detect an allergic reaction based on the evaluation. In an embodiment, an ear-wearable device system is included having a first ear-wearable device and a second ear-wearable device. In an embodiment, a method of predicting or detecting the onset or presence of an allergic reaction with an ear-wearable system is included. Other embodiments are also included herein.

Embodiments herein relate to ear-wearable systems and devices that can detect respiratory conditions and related parameters. In an embodiment, an ear-wearable device for respiratory monitoring is included having a control circuit, a microphone, and a sensor package. The ear-wearable device can be configured to analyze signals from the microphone and/or the sensor package and detect a respiratory condition and/or parameter based on analysis of the signals. In an embodiment, an ear-wearable system for respiratory monitoring is included having an accessory device and an ear-wearable device. In an embodiment, a method of detecting respiratory conditions and/or parameters with an ear-wearable device system is included. Other embodiments are also included herein.

In one embodiment, a monitoring system includes a monitoring device configured to removably attach to a tracheotomy tube, the monitoring device including a skin sensor configured to detect contact with skin of a patient's neck.