Systems and methods for assessing hemodynamic status of a patient experiencing atrial tachyarrhythmia such as an atrial fibrillation (AF) episode are disclosed. A system can comprise an atrial tachyarrhythmia detection circuit configured to detect an AF episode, a hemodynamic sensor circuit configured to sense at least one hemodynamic signal, and a hemodynamic status analyzer circuit that can calculate one or more signal metrics using the sensed hemodynamic signal during the AF episode. The hemodynamic status analyzer circuit can categorize the hemodynamic status of the patient into one of two or more categorical hemodynamic status levels which indicate elevated hemodynamic impact of the detected AF episode. A user interface can provide to an end-user a presentation of the categorized hemodynamic status level during AF.

A system for monitoring the fetal size of an expectant mother comprises an acoustic sensor for positioning over the belly of the expectant mother, the acoustic sensor configured to receive an acoustic signal generated by the fetal heartbeat and to generate a sensor output signal. A fetal size is determined from a sensor output signal strength. This system is based on the realization that certain acoustic signals generated by the fetal heart beat are strongly correlated with the fetus size.

A system for monitoring the fetal size of an expectant mother comprises an acoustic sensor for positioning over the belly of the expectant mother, the acoustic sensor configured to receive an acoustic signal generated by the fetal heartbeat and to generate a sensor output signal. A fetal size is determined from a sensor output signal strength. This system is based on the realization that certain acoustic signals generated by the fetal heart beat are strongly correlated with the fetus size.

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.

Systems and methods for monitoring food intake include an air pressure sensor for detecting ear canal deformation, according to some implementations. For example, the air pressure sensor detects a change in air pressure in the ear canal resulting from mandible movement. Other implementations include systems and methods for monitoring food intake that include a temporalis muscle activity sensor for detecting temporalis muscle activity, wherein at least a portion of the temporalis muscle activity sensor is coupled adjacent a temple portion of eyeglasses and disposed between the temple tip and the frame end piece. The temporalis muscle activity sensor may include an accelerometer, for example, for detecting movement of the temple portion due to mandibular movement from chewing.

A medical device includes an acoustic transducer, which is configured to sense acoustic waves emitted from a body of a living subject in response to a periodic physiological activity and to output an electrical signal in response to the sensed waves. Processing circuitry is configured to compute respective autocorrelations of the electrical signal for a plurality of different times within a period of the physiological activity, to transform the respective autocorrelations to a frequency domain, and to render to a display, responsively to the transformed autocorrelations, a graphical representation of a spectral distribution of an energy of the acoustic waves over the period.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung's resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

The present disclosure provides methods, devices, and systems for determining a state or condition of a subject. A method for determining a state or condition of a heart of a subject may include using a monitoring device comprising an electrocardiogram (ECG) sensor and an audio sensor to measure ECG data and audio data from an organ of the subject, and transmitting the ECG data and the audio data wirelessly to a computing device. A trained algorithm may be used to process the ECG data and the audio data to determine the state or condition of the organ of the subject. More specifically, the trained algorithm can be customized for a specific indication or condition. An output indicative of the state or condition of the heart of the subject may be provided on the computing device.

The present disclosure provides methods, devices, and systems for determining a state or condition of a subject. A method for determining a state or condition of a heart of a subject may include using a monitoring device comprising an electrocardiogram (ECG) sensor and an audio sensor to measure ECG data and audio data from an organ of the subject, and transmitting the ECG data and the audio data wirelessly to a computing device. A trained algorithm may be used to process the ECG data and the audio data to determine the state or condition of the organ of the subject. More specifically, the trained algorithm can be customized for a specific indication or condition. An output indicative of the state or condition of the heart of the subject may be provided on the computing device.