This relates to a device that detects a user's motion and gesture input through the movement of one or more of the user's hand, arm, wrist, and fingers, for example, to provide commands to the device or to other devices. The device can include a plurality of myoelectric sensors configured to detect one or more electrical signals from a body part of a user indicative of one or more movements. A plurality of signals indicative of the detected one or more electrical signals may be generated. The device may also include a wireless communication transmitter configured to communicate with a peripheral device and a processor. The processor may be configured to receive the plurality of signals from the plurality of myoelectric sensors, use the plurality of signals together to determine a gesture, and communicate one or more of: the plurality of signals and the gesture to the peripheral device.

This relates to a device that detects a user's motion and gesture input through the movement of one or more of the user's hand, arm, wrist, and fingers, for example, to provide commands to the device or to other devices. The device can include a plurality of myoelectric sensors configured to detect one or more electrical signals from a body part of a user indicative of one or more movements. A plurality of signals indicative of the detected one or more electrical signals may be generated. The device may also include a wireless communication transmitter configured to communicate with a peripheral device and a processor. The processor may be configured to receive the plurality of signals from the plurality of myoelectric sensors, use the plurality of signals together to determine a gesture, and communicate one or more of: the plurality of signals and the gesture to the peripheral device.

A computer-implemented method for determining and/or monitoring a level of modified state of consciousness of a subject receiving a treatment session comprising modifying the state of consciousness of the subject non-pharmacologically, the method comprising the steps of: receiving response data representing a subject's response to the treatment session, wherein the response data comprises measured data comprising electroencephalogram, BEG, data, the EEG data comprising: data collected from at least one of: at least one frontal (F) EEG electrode located on the scalp anatomical region corresponding to a frontal lobe of the subject, and at least one parietal (P) EEG electrode located on the scalp anatomical region corresponding to a parietal lobe of the subject, determining from the response data, the level of modified state of consciousness of a subject of the subject.

The present invention provides a tissue anchor and a system and method employing same, the anchors including a body having a first section and a second section reversibly engagable with one another, each section including a plurality of barbs in the form of microneedles projecting from the underside therefore, the barbs on one section being inclined towards barbs on the other section, such that tissue may be captured and deformed between the barbs through displacement of the first section relative to the second section in order to achieve robust retention of the tissue anchor at a deployment site.

System and apparatus for measuring biopotential and implementation thereof. A device for mitigating electromagnetic interference (EMI) thereby increasing signal-to-noise ratio is disclosed. Specifically, the present disclosure relates to an elegant, novel circuit for measuring a plurality of biopotentials in useful in a variety of medical applications. This allows for robust, portable, low-power, higher S/N devices which have historically required a much bigger footprint.

A method for assessing pain caused by administration of a drug solution includes: anesthetizing an experimental animal; inserting a measurement electrode into skeletal muscle of the anesthetized experimental animal; puncturing an injection needle into a predetermined part of the anesthetized experimental animal while measuring a myoelectric potential of the skeletal muscle with the measurement electrode; administering a drug solution to the anesthetized experimental animal; and (i) measuring a duration time of the myoelectric response caused by the administration of the drug solution, and/or (ii) measuring an EMG intensity obtained by integrating absolute values of myoelectric potentials during a period from occurrence of the myoelectric response by the administration of the drug solution to disappearance of the myoelectric response.

A method for assessing pain caused by administration of a drug solution includes: anesthetizing an experimental animal; inserting a measurement electrode into skeletal muscle of the anesthetized experimental animal; puncturing an injection needle into a predetermined part of the anesthetized experimental animal while measuring a myoelectric potential of the skeletal muscle with the measurement electrode; administering a drug solution to the anesthetized experimental animal; and (i) measuring a duration time of the myoelectric response caused by the administration of the drug solution, and/or (ii) measuring an EMG intensity obtained by integrating absolute values of myoelectric potentials during a period from occurrence of the myoelectric response by the administration of the drug solution to disappearance of the myoelectric response.

A multimodal human-robot interaction system for upper limb rehabilitation, including an electroencephalography signal acquisition and processing module, a robot module, a comprehensive affected upper limb muscle signal acquisition and processing module, a rehabilitation training evaluation module, and a virtual reality module. The electroencephalography signal acquisition and processing module captures a motion intention of a patient by means of electroencephalography signals to trigger rehabilitation training. The robot module assists an affected upper limb with rehabilitation exercise. The comprehensive affected upper limb muscle signal acquisition and processing module acquires and obtains a comprehensive assessment of the affected upper limb. The rehabilitation training evaluation module is used for processing and analyzing the comprehensive assessment of the affected upper limb, so as to obtain a quantitative evaluation of the affected upper limb during rehabilitation training. The virtual reality module is used for displaying a virtual environment for rehabilitation training, and interacting with the patient.

A multimodal human-robot interaction system for upper limb rehabilitation, including an electroencephalography signal acquisition and processing module, a robot module, a comprehensive affected upper limb muscle signal acquisition and processing module, a rehabilitation training evaluation module, and a virtual reality module. The electroencephalography signal acquisition and processing module captures a motion intention of a patient by means of electroencephalography signals to trigger rehabilitation training. The robot module assists an affected upper limb with rehabilitation exercise. The comprehensive affected upper limb muscle signal acquisition and processing module acquires and obtains a comprehensive assessment of the affected upper limb. The rehabilitation training evaluation module is used for processing and analyzing the comprehensive assessment of the affected upper limb, so as to obtain a quantitative evaluation of the affected upper limb during rehabilitation training. The virtual reality module is used for displaying a virtual environment for rehabilitation training, and interacting with the patient.

Provided are a health data collection device, a health evaluation system using this, and a health evaluation method including the health data collection device. The health data collection device includes a stimulation providing device, a bio signal measurement device, and a controller. The stimulation providing device provides stimulation such that a user changes from a stabilization state to a perturbation state. The bio signal measurement device measures a first bio signal in the stabilization state and a second bio signal in the perturbation state. The controller controls a stimulation providing device or a bio signal measurement device based on personal identification information. The controller generates physiological function data based on the first bio signal and the second bio signal. According to the inventive concept, bio-signals are measured using continuously changing personal identification information and stimulation, so data optimized for health state evaluation may be collected.