A personalized device for therapeutic training includes a therapeutic device body, electronic circuitry integrated into the therapeutic device body wherein the electronic circuitry comprises at least one sensor. The therapeutic device body is personalized for use by a patient through sizing and shaping the therapeutic device based on measurements of the patient and 3D printing at least a portion of the therapeutic device body and at least a portion of the electronic circuitry to make the personalized device both electrically and mechanically functional.

A reliable technology for determining the masticatory side of the user based on the surface myoelectric potential of masticatory muscles is provided. First and second electromyographic waveforms respectively originating from left and right muscles related to masticatory actions of a user are acquired; a coefficient of correlation between pieces of information respectively extracted from the first and the second electromyographic waveforms is calculated as a first feature value; a second feature value is calculated from a power spectrum obtained by performing frequency analysis on the first electromyographic waveform; a third feature value is calculated from a power spectrum obtained by performing frequency analysis on the second electromyographic waveform; a learning model is generated by associating the first, second, and third feature values with a plurality of labels for specifying a masticatory side of the user; and the masticatory side of the user is determined based on first, second, and third feature values calculated from a newly acquired electromyographic waveform, with reference to the learning model.

Provided is an occlusal pressure analysis program capable of improving the accuracy of grasping the occlusal contact state in occlusal pressure acquisition by a pressure detection means, including a step of obtaining a pressure value for each minimum unit from which the pressure value can be recognized by a pressure detection means, and a step of, regarding each of the minimum units where the pressure value exists as a detection unit, separating the detection units into the detection units which can be regarded as due to occlusion and the detection units which are unclear whether they are due to occlusion, based on the pressure value.

A jaw function measurement apparatus comprises a mastication measurement device having a pliable body, the pliable body defining at least one bite location having at least one force sensor therein. A data collection device is in data communication with the mastication measurement device. Also, a data analysis device is in data communication with the data collection device, which converts data collected by the data collection device into a format suitable for output. Moreover, an input output device is in data communication with the data analysis device 106 that outputs measured bite force.

Intraoral appliances are disclosed that provide electrical stimulation to tissue in a patient's oral cavity in a manner that reduces apnea events during sleep. A representative appliance can induce a current or currents through tissue and/or anatomical structures in a manner that maintains upper airway tone and/or patency.

A body-attachable detection device includes a light-emitting unit; a photoelectric conversion unit; a control unit; and an attachment portion, wherein the attachment portion is provided to attach the light-emitting unit, the photoelectric conversion unit, and the control unit to a living body, the light-emitting unit is configured to project light onto a target part from which movements of the living body are to be detected, the photoelectric conversion unit is configured to receive light reflected by the target part and to generate photocurrent, and the control unit is configured to adjust, in accordance with the photocurrent generated in the photoelectric conversion unit, an amount of light to be projected onto the target part and to detect movements of the target part in accordance with changes in photocurrent that occur in the photoelectric conversion unit after the amount of light is adjusted.

A dental appliance including a dielectric substrate with one or more electric areas having one or more integrated circuits, one or more electric lines, and optionally one or more shielding lines. The dental appliance further includes one or more ground areas including one or more ground pads, one or more sensing areas including one or more sensing pads, and optionally one or more shielding pads. The dental appliance is configured to monitor dental contact, dental forces, and/or for detecting teeth clenching and/or grinding.

An apparatus and method for detecting and reducing bruxism is described. The method includes the placement of a pressure resistive (or piezoelectric) sensor on the skin above the temporalis muscle in order to detect grinding of the teeth based on movement of the temporalis muscle. Alternatively, a pressure resistor could be used in the ear. The pressure resistive sensor could be made of carbon-impregnated polyolefin. Once bruxism is detected, a patient is notified and uses bio-feedback to curtain the grinding of the teeth.

An intraoral multisensor device includes a mouthpiece, a plurality of sensors at least one of attached to or integrated with the mouthpiece, and a data communications unit configured to receive signals from the plurality of sensors. The mouthpiece has a form to permit stable arrangement at least partially within a person's mouth such that it can remain for hands-free sensing of a plurality of biological parameters. Also, an intraoral multisensor system includes an intraoral multisensor device and a data processing device adapted to communicate with the intraoral multisensor device.

The present disclosure provides a computer implemented method for automatic detection of teeth clenching and/or teeth grinding in a dataset representing the level of biting force vs. time of a subject, the method comprising the steps of a) calculating a threshold level of biting force assigned to time t=t.sub.1 based on a background level determined from the dataset at a prior time t=t.sub.1T.sub.back, where T.sub.track is a first predefined period of time, b) checking the level of biting, and if the level of biting force at time, t, exceeds the threshold level assigned to time t for a second predefined period of time, T.sub.clench/grind, then assigning an event of teeth clenching to time t, c) if an event of teeth clenching has been assigned to time t, then either waiting a predefined period of time 10 T.sub.wait, or waiting until the level of biting is below the threshold for another predefined period of time T.sub.end, d) if no events of teeth clenching and/or teeth grinding have been assigned for a third predefined period of time T.sub.silence, then repeating steps a)-c), e) if events of teeth clenching and/or teeth grinding have been assigned for a third predefined period of time T.sub.silence, then repeating only steps b)-c).