Patent classifications
A61B5/383
System, method, and computer program for providing training for pain improvement
The inventive concept refers to a system, a method, and a computer program for providing training for pain improvement. According to an exemplary embodiment, a training providing method for pain improvement includes requesting, by a computer, a temperature providing device to provide a first temperature to a first body point, requesting, by the computer, the temperature providing device to provide a second temperature to a second body point, requesting a user to select a temperature matched with a specific condition among the first temperature and the second temperature, and calculating a correct answer rate after performing a trial of distinguishing between the first temperature and the second temperature by a predetermined number.
System, method, and computer program for providing training for pain improvement
The inventive concept refers to a system, a method, and a computer program for providing training for pain improvement. According to an exemplary embodiment, a training providing method for pain improvement includes requesting, by a computer, a temperature providing device to provide a first temperature to a first body point, requesting, by the computer, the temperature providing device to provide a second temperature to a second body point, requesting a user to select a temperature matched with a specific condition among the first temperature and the second temperature, and calculating a correct answer rate after performing a trial of distinguishing between the first temperature and the second temperature by a predetermined number.
Brain computer interface based pain management therapy
Systems, devices and methods are provided for conducting a pain management therapy session, which includes performing a BCI training session utilizing feedback to train a subject to generate defined brain signals to assist the subject in managing and/or relieving pain, and applying a stimulus to the subject, in connection with the BCI training session, at a location that is near the source of pain and/or within the nervous system pain pathway to the source of pain.
Brain computer interface based pain management therapy
Systems, devices and methods are provided for conducting a pain management therapy session, which includes performing a BCI training session utilizing feedback to train a subject to generate defined brain signals to assist the subject in managing and/or relieving pain, and applying a stimulus to the subject, in connection with the BCI training session, at a location that is near the source of pain and/or within the nervous system pain pathway to the source of pain.
Brain wave analysis device, brain wave analysis system, and brain wave analysis program
The present disclosure provides a brain wave analysis device with a computation section configured to compute a first ratio and a second ratio from a spectrum obtained by performing frequency analysis on time-series data of brain waves measured at a predetermined location of a head of a subject.
Brain wave analysis device, brain wave analysis system, and brain wave analysis program
The present disclosure provides a brain wave analysis device with a computation section configured to compute a first ratio and a second ratio from a spectrum obtained by performing frequency analysis on time-series data of brain waves measured at a predetermined location of a head of a subject.
System and method for integrated magnetic resonance imaging (MRI) and electroencephalogram (EEG)
A system and method for integrated magnetic resonance imaging (MRI) and electroencephalogram (EEG) is described. The system includes an integrated radiofrequency (RF)-EEG cap that includes an EEG cap comprising a first layer of material containing a first plurality of holes that provide placeholders configured to receive EEG electrodes and an RF cap comprising a second layer of material containing a second plurality of holes and a plurality of RF coils fixed onto the second layer of material. The system also includes one or more fasteners configured to co-register the second plurality of holes to the first plurality of holes and to removably secure the RF cap to the EEG cap.
DETECTION OF DAMAGED GRAY MATTER AND WHITE MATTER
Apparatus and methods are described including driving a coil to apply a magnetic stimulation to a subject's brain, and receiving a magnetic-stimulation-evoked-potential signal from electrodes that are placed in contact with the subject's head. A slope of a late portion of a curve of the magnetic-stimulation-evoked-potential signal is measured. At least partially in response to the slope of the late portion of the curve of the magnetic-stimulation-evoked-potential signal, an output is generated that is indicative of the subject suffering from damaged gray matter and/or white matter. Other applications are also described.
DETECTION OF DAMAGED GRAY MATTER AND WHITE MATTER
Apparatus and methods are described including driving a coil to apply a magnetic stimulation to a subject's brain, and receiving a magnetic-stimulation-evoked-potential signal from electrodes that are placed in contact with the subject's head. A slope of a late portion of a curve of the magnetic-stimulation-evoked-potential signal is measured. At least partially in response to the slope of the late portion of the curve of the magnetic-stimulation-evoked-potential signal, an output is generated that is indicative of the subject suffering from damaged gray matter and/or white matter. Other applications are also described.
Methods to Diagnose Small and Large Fiber Neuropathy
A method for the detection of small fiber and/or large fiber neuropathy comprising application of a near-infrared laser to the area of suspected small fiber or large fiber neuropathy and known healthy areas, simultaneously collecting corresponding brain signal EEG data from the patient, followed by application of electrical stimuli to suspected areas of neuropathy and healthy areas simultaneously collecting corresponding EEG data from the patient. The EEG data for both tests are then run through a neural network trained on a large database of confirmed diagnoses and associated EEG data to make a statistical determination whether the patent exhibits 1) large fiber neuropathy only, 2) small fiber neuropathy only, 3) small and large fiber neuropathy, or, 4) no signs of neuropathy.