A tremor-reduction system is provided that delivers electric current to a body region of a subject that is associated with a tremor. A computing device stores received data associated with a tremulous movement of the body region and determines measurements associated with the stored data. If a magnitude of the most recent tremulous movement is the same as or greater than magnitudes associated with prior tremulous movements, characteristics of a subsequent electric current to be applied to the body region may be adjusted.

A tremor-reduction system is provided that delivers electric current to a body region of a subject that is associated with a tremor. A computing device stores received data associated with a tremulous movement of the body region and determines measurements associated with the stored data. If a magnitude of the most recent tremulous movement is the same as or greater than magnitudes associated with prior tremulous movements, characteristics of a subsequent electric current to be applied to the body region may be adjusted.

The present specification describes systems and methods that enable the automatic detection, analysis and calculation of various processes and parameters associated with electromyography. The methods of the present specification include the automated modulation of analytical or recording states based on the nature of the signal, optimal reference fiber selection, modulating a trigger level, and determining firing parameters.

A method for processing physiological signals (S.sub.EMG; S.sub.EEG) acquired from a subject (S) allows the detection of an imminent loss of balance of the subject and the generation of a signal (Aout) indicating the imminent loss of balance. The method comprises: the reception of a plurality of electromyographic signals (S.sub.EMG) representative of a detected muscle activity of a plurality of selected muscles of the subject, as well as a plurality of brain signals (S.sub.EEG) acquired by means of an electroencephalogram and representative of a cortical activity of the subject during said muscle activity; the analysis and processing of the electromyographic signals (S.sub.EMG) in order to extract a muscle activity pattern, MAP, and generate an indicator of normality/abnormality of the detected muscle activity pattern; the analysis and processing of the brain signals (S.sub.EEG) in order to generate one or more cortical response indicators of the subject upon occurrence of said detected muscle activity (I.sub.EGg; LF(k)); and a classification step, wherein at least one indicator (MA(k)) of normality/abnormality of the MAP and one or more of said cortical response indicators are correlated to generate a signal (Aout) indicating an imminent loss of balance.

The present technology relates to a control device and a control method capable of providing a more convenient electroencephalogram input user interface.

Provided is a control device including a detection unit configured to perform detection of a brain wave included in a measured biometric signal of a user and detection of a user action based on information other than the brain wave included in the biometric signal, and a processing unit configured to perform a predetermined process based on the brain wave in a case where the user action is a predetermined action. For example, the present technology can be applied to a measurement device capable of measuring a brain wave signal.

A system and related methods for performing nerve detection during surgical access using ultrasound testing during surgery.

A system and related methods for performing nerve detection during surgical access using ultrasound testing during surgery.

An ear tip for an earpiece including a body, an insertion end, and a retention structure. Some examples include an elongated fin along a portion of an outer leg of the retention structure. Some examples include an extended insertion end configured to insert further into a user's ear canal and including a mushroom cap for providing contact with an interior portion of the user's ear canal and to form an acoustic seal. Some examples may include an umbrella associated with the insertion end, between the mushroom cap and the body. Electrically conductive elements may be associated with any of the elongated fin, the umbrella, and the mushroom cap, to provide electrical contact with the user's skin for sensing electrical signals or for delivery of electrical stimulation.

System and methods for gesture-based control are described. In some embodiments, a system may include a wearable device having a biopotential sensor and a wrist motion sensor. The biopotential sensor may be configured to output a first data stream indicating actions of a person's hand. The system may further include a second device configured to output a second data stream, which may also indicate the actions of the person's hand. The system may be configured to analyze the first and second data streams to train a machine learning interpreter to classify actions of a person's hand based on at least biopotential data.

A measuring device for measuring one or more clinical parameters of a patient, including a housing having multiple sensors, the sensors including one or more cardiac or cardiovascular sensors and one or more additional sensors, the device also including electrical circuitry located in the housing and including a storage unit for storing sensors data and sensors activation rules, where the sensors activation rules dictate which of the multiple sensors is used to sample the clinical parameters, and a processor to process the sensors data, the device also including a sensors switching circuit configured to determine which sensors of the multiple sensors collect information in a given time frame in accordance with the sensors’ activation rules, and an output unit to receive signal values from the sensors and to output clinical data.