A method for treatment of a headache disorder in a human subject, including selecting at least one treatment area in the nasal cavity of the human subject, said treatment area being selected from a posterior part of the nasal cavity or an anterior part of the nasal cavity, providing a device including a stimulation member arranged for vibration stimulation of the selected treatment area, and at least one expansion member provided with a channel having a plurality of openings arranged for fluid communication with the stimulation member, introducing the stimulation member into a nasal cavity of the human subject, expanding the stimulation member to a volume such that the stimulation member abuts against the tissue to exert a pressure on tissue of the selected treatment area and bringing the stimulation member to vibrate in the nasal cavity to impart vibrations to the selected treatment area, wherein the vibrations are imparted to a posterior part of the nasal cavity, to an anterior part of the nasal cavity, sequentially to a posterior and an anterior part of the nasal cavity; or simultaneously to a posterior and an anterior part of the nasal cavity.

A system that assists acupuncture based on the physiological signals of the human body. Physiological signals comprise respiratory signals, electrocardiographic signals, electrical skin signals, electroencephalograph signal, blood flow signals, pulse wave signals and/or signals derived from above signals. The acupuncture treatment process comprises the following: controlling the actuator of the automatic acupuncture device through physiological signals to start, to stop acupuncture treatment or to perform acupuncture techniques such as twisting or lifting-thrusting. It also provides an automatic acupuncture system to assist acupuncture based on Chinese Medicine Body Clock information.

A system and method for voice-based control of sexual stimulation devices. In some configurations, the system and method involve receiving voice data, analyzing the voice data to detect spoken commands, and generating control signals based on the commands. In some configurations, the system and method involve receiving voice data, analyzing the voice data for non-speech vocalizations, detecting voice stress patterns, and generating control signals based on the detected patterns. In some configurations, the analyses of the voice data are performed by machine learning algorithms which may be trained on associations between speech and non-speech vocalizations of a user while the user engages in one or more voice-based training tasks, associating speech and non-speech vocalizations with controls of the sexual stimulation device. In some configurations, machine learning algorithms are used to make the associations. In some configurations, data from other biometric sensors is included in the associations.

A system for moving or assisting in movement of a body part of a subject, as well as a rehabilitation system including such a movement assistance system, includes a body part interface configured to be secured to the body part, and a motor-actuated assembly connected to the body part interface to move the body part interface to cause flexion or extension movement of the body part. A force sensing module is configured to measure forces applied between the body part interface and the motor-actuated assembly to ascertain at least one of volitional flexion and volitional extension movement of the body part by the subject, among other functions that may be implemented in movement assistance and rehabilitation systems using the disclosed force sensing module designs.

An embodiment rehabilitation robot control apparatus includes a brainwave signal measuring device configured to measure a brainwave signal of a user, a preprocessing device configured to preprocess the measured brainwave signal, a classification device configured to classify a motor intention of the user based on the brainwave signal preprocessed by the preprocessing device, and a controller configured to reflect the motor intention of the user in real time to control an operation or a stop of a rehabilitation robot.

Systems and methods for affecting metabolism, such as the treatment of metabolic syndrome are disclosed. A method for treating metabolic syndrome can include one or more of the steps including identifying a region of the patient comprising glabrous tissue; positioning the region of the patient comprising glabrous tissue into an enclosed chamber; adjusting the relative humidity of the enclosed chamber sufficient to create a physiologic metabolic effect; and activating a convection fan within the chamber to promote heat transfer from the glabrous tissue. The method need not involve altering the temperature within the enclosed chamber.

Rehabilitating an impaired body part of a subject such as a stroke patient includes systems, devices, and methods using an orthosis system configured to attach to the impaired body part and to move or assist in movement of the impaired body part. A control system is configured to operate the orthosis system in a mode in which the orthosis system first allows the subject to move volitionally or attempt to move volitionally the impaired body part in a predefined motion and then operates to move or assist in the predefined motion of the impaired body part. Additional modes of operation include a brain computer interface mode of operation and a mode in which the orthosis system operates in a continuous passive mode of operation comprising a plurality of repetitions of an exercise to move the impaired body part.

The subject of the invention is a method for calibrating a direct neural interface. The calibration is performed by considering a so-called input calibration tensor, formed on the basis of measured electrophysiological signals and so-called output calibration tensor, formed on the basis of measured output signals. The method comprises the application of a least squares multivariate regression implemented by considering a covariance tensor and a cross-covariance tensor which are established on the basis of input and output calibration tensors corresponding to a current calibration period. The method takes into account covariance and cross-covariance tensors established during an earlier calibration period prior to the current calibration period, these tensors being weighted by a forget factor.

Examples of a device for guiding and detecting a motion of a target joints and a motion assistance system such motion guiding devices are described. The motion guiding and detecting device comprises a motion generator and a motion transfer and target interfacing unit to transfer the motion generated by the motion generator to the target joint. The system further includes a motion detection and feedback unit that interfaces with the target, and a controller that interfaces with both the feedback unit and the motion generator to control and coordinate the motion of the motion generator and the target joint.

Methods, systems and apparatus for inducing and verifying the level of neural entrainment at any target frequency, through a combination of biofeedback mechanisms, data analysis, and modulation of synergistic combinations of adaptable stimuli.