Abstract: A device is able to measure blood pressure from inside a user's ear. In the illustrated example, the device has three components: (1) a pulse sensor attached to an inflatable pipe which is placed inside the ear, (2) an air pump with a controller, and (3) blood pressure estimation modules including processors and computer executable instruction executed on the processors to execute blood pressure estimation algorithms.

Abstract: A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

Abstract: A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

Abstract: A computer system for intra-ear sensing and stimulating receives, health data, from an earbud sensor. The system repeatedly calculates an exponential moving average (EMA) of a moving window for the received health data. The system compares each calculated exponential moving average with a lower threshold value and an upper threshold value. The upper threshold value and the lower threshold value are determined based, at least in part, upon a saturation level associated within an amplifier performing the adaptive gain control. When the calculated exponential moving average is larger than the upper threshold, the system decreases a gain associated with the amplifier. When the calculated exponential moving average is smaller than the lower threshold, the system increases a gain associated with the amplifier.

Abstract: A device is able to measure blood pressure from inside a user's ear. In the illustrated example, the device has three components: (1) a pulse sensor attached to an inflatable pipe which is placed inside the ear, (2) an air pump with a controller, and (3) blood pressure estimation modules including processors and computer executable instruction executed on the processors to execute blood pressure estimation algorithms.

Abstract: Various embodiments provide novel tools and techniques for behind-the-car biosignal sensing and stimulation. A system includes a behind-the-car wearable device further including an ear piece, one or more sensors coupled to a patient behind the ears of the patient and a host machine coupled to the behind-the-car wearable device. The host machine includes a second processor, and a second computer readable medium in communication with the second processor, the second computer readable medium having encoded thereon a second set of instructions executable by the second processor to obtain the first signal, separate the first signal into one or more individual biosignals, and determine, based on one or more features extracted from the one or more individual biosignals, awakefulness classification of the patient.

Abstract: Systems and methods for medical monitoring devices are provided. Various embodiments include a monitoring device platform. The platform may adhere to a smartphone and house one or more medical monitoring devices to accommodate for one or more health conditions. The medical monitoring devices may be interchangeable and the types of medical monitoring devices on the platform is customizable. The platform may include Bluetooth® functionality and is compatible with smart phones or other smart devices. Medical information collected by the platform is transmitted to the smart phone for viewing by the user. The medical information may be processed by a machine learning engine and can be used to highlight relevant information within an action plan created by a medical professional. Individual medical devices can slide and lock into the platform and may be used while the phone is in use.