An apparatus for evaluating the tongue strength and coordination of a subject includes an intermediate device such as a lever which is pivotably attached to a coupling device and extends into a cavity of a nipple element. The lever is detached from the nipple and pivotable in response to deformation of the nipple element by a tongue force exerted on the nipple element by a subject during a suck-swallow-breathe sequence. The coupling device includes a sensing device to wirelessly transmit sensor outputs to a mobile device paired to the sensing device. The sensing device includes at least one sealed chamber defined by a membrane and a sensor. In one example, a first membrane and sensor senses pressure change in a fluid in the apparatus, and a second membrane and sensor is actuated by the intermediate device to sense deformation of the nipple element. A method using the apparatus is provided.

A method includes receiving intraoral scan data of an intraoral cavity of a patient; processing the intraoral scan data to determine, for each dental condition of a plurality of dental conditions, whether the dental condition is detected for the patient and a severity of the dental condition; and presenting indications of the plurality of dental conditions together in a graphical user interface (GUI), wherein the indications show, for each dental condition of the plurality of dental conditions, whether the dental condition was detected for the patient and the severity of the dental condition.

In an implementation, a processing device receives first intraoral scan data generated at a first time and analyzes the first intraoral scan data to determine a first representation of a caries from the first intraoral scan data. The processing device receives second intraoral scan data generated at a second time and analyzes the second intraoral scan data to determine a second representation of the caries from the second intraoral scan data. The processing device compares the second representation of the caries to the first representation of the caries and tracks the caries over time based on a difference between the second representation of the caries and the first representation of the caries.

Disclosed herein are methods and apparatus for diagnosing a disease in the gingival region of an individual, comprising: quantitatively measuring blood flow or changes in blood flow in the gingival region of the individual, potentially comparing these data to that of a healthy subject, and diagnosing the disease based one of more of these quantities.

A system is provided to treat sleep apnea, with a method of use. The system includes a handpiece which includes at least one penetrating electrode configured to penetrate tissue and one or more temperature sensors. A processor is coupled with the one or more temperature sensors and the at least one penetrating electrode, and a memory is configured to store instructions executable by the processor. The instructions, when executed, are operable to emit, by the at least one penetrating electrode, RF energy from the electrodes to heat a region of a base of a tongue until a target energy is delivered to the region. The instructions are also operable to measure, by the one or more temperature sensors, the temperature of the region.

A state estimation apparatus 1 includes: a generation unit 2 configured to generate acoustic characteristic information indicating an acoustic characteristic using a first acoustic signal output to the ear canal and a second acoustic signal produced by the first acoustic signal echoing inside the body; and an estimation unit 3 configured to estimate the state of the vocal tract and the state of the respiratory tract using the acoustic characteristic information.

An apparatus that monitors information associated with an oral cavity is provided, the apparatus comprising: a three-dimensional oral appliance; a data collection device having at least one sensor and/or hydrogel like material configured to sense the information associated with the oral cavity; an interface device cooperatively coupled to the data collection device, the interface device configured to transfer the information from the sensor device to a receiving device external to the oral cavity or the entire device is analyzed.

The invention introduces a method for diagnosing tongues based on deep learning, performed by processing unit of a tablet computer, including: obtaining a shooting photo through a camera module of the tablet computer; inputting the shooting photo to a convolutional neural network (CNN) to obtain classification results of categories, which are associated with a tongue of the shooting photo; and displaying a screen of a tongue-diagnosis application on a display panel of the tablet computer, where the screen includes the classification results of the categories.

The invention introduces a method for remotely diagnosing tongues based on deep learning, performed by processing unit, including: obtaining a medical-treatment request and medical-record information containing a shooting photo from a client apparatus over a network; inputting the shooting photo to a plurality of partial-detection convolutional neural networks (CNNs) to obtain a plurality of classification results of a plurality of categories, which are associated with a tongue of the shooting photo; displaying a screen of a remote tongue-diagnosis application on a display unit, which contains the classification results of the categories; obtaining a medical advice corresponding to the classification results of the categories; and replying with the medical advice to the client apparatus over the network.

A method and system for detecting and removing EEG artifacts is disclosed herein. Each source of a plurality of sources for an EEG signal is separated for a selected artifact type. Each source of the plurality of sources is reconstituted into a recorded montage and an optimal reference montage for recognizing the selected artifact type of each source. The sources with artifacts are removed and the remaining sources are reconstituted into a filtered montage for the EEG signal.