A catheter for diagnosing an abnormality of a blood vessel includes an elongated body defining an elongated lumen therethrough; and one or more transducers disposed on an outer surface of the elongated body. One or more transducers are configured to output an electrical signal in response to sound.

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 smart multi-modal telehealth IoT system for respiratory analysis. Such a system includes a body area sensor network comprised of meshed wireless sensor nodes and advanced machine learning techniques. The system may be used to remotely diagnose a user's respiratory illness and monitor their health.

A method of determining a fitness level of user with an acoustic measurement device configured to measure sound associated with airflow through a mammalian trachea. The acoustic measurement device is in communication with a controller having processing circuitry. The method includes correlating the measured sound into a measurement of the user's respiratory rate and tidal volume; calculating a second respiratory rate value using the measured tidal volume; calculating a breathing efficiency (BE) ratio based on a comparison of the user's measured respiratory rate and the calculated second respiratory rate value; correlating the calculated BE ratio to a predetermined threshold; and assigning a classification to the user based on the calculated BE ratio. The classification is indicative of the user's respiratory function performance.

An apparatus configured for application to a surface of a body, the apparatus comprising: an array of mechanomyography sensors spatially distributed across a substrate, each mechanomyography sensor configured to detect mechanomyography signals from the body to which the apparatus is applied; and a pressure bias system configured to provide a variation in contact pressure of the mechanomyography sensors to the body surface to receive mechanomyography signals at different levels of applied contact pressure.

A medical instrument includes a first device (108) including shape-sensed flexible instrument, a second device (102) disposed over the first device and a third device (109) disposed over the first device and a portion of the second device. The second and third devices include a geometric relationship such that a position of the second device and the third device is determined from shape sensing information of the first device and the geometric relationship.

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.

A dynamic neuropsychological assessment tool according to an embodiment utilizes speech recognition, speech synthesis and machine learning to assess whether a patient is at risk for a neurological disorder, such as Alzheimer's disease. The dynamic neuropsychological assessment tool enables self-administration by a patient. The tool performs pre-test validation operations on the test environment, test equipment, and the patient's capability for performing the test at that time. The tool also enables dynamic modification of a questionnaire presented to the patient while the patient completes the questionnaire. Also provides the dynamic modification of which tests to present the patient with. The modification can be rule based or modified by a provider. The dynamic neuropsychological assessment tool enables providers and administrators to modify and improve tests and validate them using machine learning based on previously completed assessments and results.

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.