Patent classifications
A61B5/291
Electrode systems, devices and methods
An electrode system include a flowable and cohesive surface contact element comprising a hydrophilic polymer swollen with an electrolyte fluid, the contact element having a Q′ ratio of at least 5 as defined by the equation
wherein W.sub.G is the dry weight of the hydrophilic polymer and W.sub.W is weight of water in the sample after absorption of the electrolyte fluid comprising water and an electrolyte salt. The surface contact element can consist essentially of the hydrophilic polymer swollen by the electrolyte fluid. Another electrode system includes a contact element including a crosslinked hydrophilic polymer matrix. The contact element has a Q′ ratio of at least 5 as defined by the equation
The contact elements can also have a Q′ ratio of at least 6, at least 7, at least 10 or even at least 11.
Sensing electrode and method of fabricating the same
A method of measuring signals from a surface. The method comprises: placing on the surface a flexible sensing device having an array of coated electrodes, wherein at least one electrode of the array is metallic and is at least partially coated by a polymer; and collecting signals from the sensing device.
Sensing electrode and method of fabricating the same
A method of measuring signals from a surface. The method comprises: placing on the surface a flexible sensing device having an array of coated electrodes, wherein at least one electrode of the array is metallic and is at least partially coated by a polymer; and collecting signals from the sensing device.
Systems and methods for online spike recovery for high-density electrode recordings using convolutional compressed sensing
Systems and methods for performing online spike recovery from multi-channel electrophysiological recordings in accordance with various embodiments of the invention are described. One embodiment of a method of performing online spike recovery from multi-channel electrophysiological recordings includes: determining a set of waveform templates; continuously obtaining multi-channel electrophysiological recordings using a multi-channel electrode; and automatically performing online spike recovery from the multi-channel electrophysiological recordings using a processing system that performs a method for sparse signal recovery that continuously adjusts a processing buffer size based upon newly obtained multi-channel electrophysiological recordings.
Systems and methods for online spike recovery for high-density electrode recordings using convolutional compressed sensing
Systems and methods for performing online spike recovery from multi-channel electrophysiological recordings in accordance with various embodiments of the invention are described. One embodiment of a method of performing online spike recovery from multi-channel electrophysiological recordings includes: determining a set of waveform templates; continuously obtaining multi-channel electrophysiological recordings using a multi-channel electrode; and automatically performing online spike recovery from the multi-channel electrophysiological recordings using a processing system that performs a method for sparse signal recovery that continuously adjusts a processing buffer size based upon newly obtained multi-channel electrophysiological recordings.
Anesthesia and/or sedation system and method
A system and method provides closed-loop sedation, anesthesia, or analgesia by monitoring EEG and automatically adjusting the delivery of sedative, anesthetic, and/or analgesic drugs to maintain that desired level of cortical activity for transportation or evacuation of the injured, and for closed-loop anesthesia during surgical care, and at all echelons of care.
Multiple Physiological Data Collection Device and System
Disclosed are a multiple physiological data collection device and system that collect, manually mark, sampling—physiological data for machine learning and AI analyses in a single operation background. Physiological data uploaded by sensing devices of different type and function, described in different formation, recorded at different times and/or pertaining to different person can be processed in one system. The invented system comprises a data uploading device, a data storage device and a data edition device and, optionally, an automated data analysis device.
Multiple Physiological Data Collection Device and System
Disclosed are a multiple physiological data collection device and system that collect, manually mark, sampling—physiological data for machine learning and AI analyses in a single operation background. Physiological data uploaded by sensing devices of different type and function, described in different formation, recorded at different times and/or pertaining to different person can be processed in one system. The invented system comprises a data uploading device, a data storage device and a data edition device and, optionally, an automated data analysis device.
ELECTRODE ARRAY APPARATUS, NEUROLOGICAL CONDITION DETECTION APPARATUS, AND METHOD OF USING THE SAME
An apparatus for measuring patient data includes a frame having a plurality of electrode hubs. Each hub can include one or more electrode members. The frame can be configured to receive a head of a patient. Each of the electrode hubs can have a single electrode member or a plurality of electrode members that extend from or are connected to an outer member for contacting a scalp of the head of the patient. The outer member can have at least one circuit configured to transmit data received by at least one of the electrode members to a measurement device via a wireless communication connection (e.g. Bluetooth, near field communication, etc.) or a wired communication connection.
ELECTRODE ARRAY APPARATUS, NEUROLOGICAL CONDITION DETECTION APPARATUS, AND METHOD OF USING THE SAME
An apparatus for measuring patient data includes a frame having a plurality of electrode hubs. Each hub can include one or more electrode members. The frame can be configured to receive a head of a patient. Each of the electrode hubs can have a single electrode member or a plurality of electrode members that extend from or are connected to an outer member for contacting a scalp of the head of the patient. The outer member can have at least one circuit configured to transmit data received by at least one of the electrode members to a measurement device via a wireless communication connection (e.g. Bluetooth, near field communication, etc.) or a wired communication connection.