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.

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).

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 system and method for non-invasively monitoring the hemodynamic state of a patient by determining on a beat-by-beat basis the ratio of lusitropic function to inotropic function as an index of myocardial well-being or pathology for use by clinicians in the hospital or by the patient at home. In one embodiment of the system a smartphone running an application program that is connected through the internet to the cloud processes electronic signals, first, from an electrocardiogram device monitoring electrical cardiac activity, and second, from a seismocardiogram device monitoring mechanical cardiac activity in order to determine such ratio as an instantaneous measurement of the hemodynamic state of the patient, including such states as sepsis, myocardial ischemia, and heart failure.

A system and method for non-invasively monitoring the hemodynamic state of a patient by determining on a beat-by-beat basis the ratio of lusitropic function to inotropic function as an index of myocardial well-being or pathology for use by clinicians in the hospital or by the patient at home. In one embodiment of the system a smartphone running an application program that is connected through the internet to the cloud processes electronic signals, first, from an electrocardiogram device monitoring electrical cardiac activity, and second, from a seismocardiogram device monitoring mechanical cardiac activity in order to determine such ratio as an instantaneous measurement of the hemodynamic state of the patient, including such states as sepsis, myocardial ischemia, and heart failure.

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.

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 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.

The present invention provides a carotid blood pressure detection device, comprising: a first sensing unit, a second sensing unit, and a controller connected or coupled to the first sensing unit and the second sensing unit. The first sensing unit is disposed on a subject's neck and adjacent to a first position of the subject's carotid arteries. The second sensing unit is disposed on the subject's neck and adjacent to a second position of the subject's carotid arteries. The controller derives a mean arterial pressure of a section of the subject's carotid arteries that lies between the first position and the second position of the subject's carotid arteries from pulse wave data measured and obtained by the first sensing unit and pulse wave data measured and obtained by the second sensing unit.