Patent classifications
A61B5/7217
Systems and methods for physiological sign analysis
The present disclosure relates to systems and methods for analyzing physiological sign information, including information acquisition, data storage, calculation or analysis, processing, result output, etc. The systems may perform a calculation or an analysis on the acquired information by a plurality of algorithms, perform a determination or a processing on the calculation result, and output the determination result of the processed physiological information.
APPARATUS AND METHODS FOR REMOVING A LARGE-SIGNAL VOLTAGE OFFSET FROM A BIOMEDICAL SIGNAL
Apparatus and methods remove a voltage offset from an electrical signal, specifically a biomedical signal. A signal is received at a first operational amplifier and is amplified by a gain. An amplitude of the signal is monitored, by a first pair of diode stages coupled to an output of the first operational amplifier, for the voltage offset. The amplitude of the signal is then attenuated by the first pair of diode stages and a plurality of timing banks. The attenuating includes limiting charging, by the first pair of diode stages, of the plurality of timing banks and setting a time constant based on the charging. The attenuating removes the voltage offset persisting at a threshold for a duration of at least the time constant. Saturation of the signal is limited to a saturation recovery time while the saturated signal is gradually pulled into monitoring range over the saturation recovery time.
Image capturing apparatus and biometric information acquiring apparatus
Provided is a light detecting apparatus comprising a light emitting section that emits light; a light detecting section that detects light from an observation target irradiated with the light emitted by the light emitting section; a mount section attached to a test subject that includes the observation target; and a holding section that holds the light emitting section and the light detecting section and is detachably attached to the mount section. The holding section holds the light emitting section and the light detecting section in a manner to secure a relative positional relationship between the light emitting section and the light detecting section, and a relative positional relationship between the holding section and the mount section is determined by attaching the holding section to the mount section.
Systems and Methods for Performing Electrophysiology (EP) Signal Processing
Systems, methods, and computer program product embodiments are disclosed for performing electrophysiology (EP) signal processing. An embodiment includes an electrocardiogram (ECG) circuit board configured to process an ECG signal. The embodiment further includes a plurality of intracardiac (IC) circuit boards, each configured to process a corresponding IC signal. The ECG circuit board and the plurality of IC circuit boards share substantially a same circuit configuration and components. The ECG circuit board further processes the ECG signal using substantially a same path as each IC circuit board uses to process its corresponding IC signal.
Stochastic-switched noise stimulation for identification of input-output brain network dynamics and closed loop control
Time-efficient identification of a brain network input-output (IO) dynamics model for brain stimulation includes generating an input stochastic-switched noise-modulated waveform characterized by at least one parameter modulated according to a stochastic-switched noise sequence, inputting the input stochastic-switched noise-modulated waveform to a clinical brain-response system, recording one or more time-correlated outputs of the clinical brain-response system responsive to the input stochastic-switched noise-modulated waveform, and identifying a brain network IO dynamics model that optimally correlates the input stochastic-switched noise-modulated waveform to the one or more time-delimited outputs of the clinical brain-response system. A desired brain response to an input electrical signal may be obtained using the model, such as by modulating the input electrical signal using a closed-loop control algorithm based on the brain network IO dynamics model.
Cognitive and emotional intelligence engine via the eye
A method of discovering relationships between eye physiology and cognitive and/or emotional responses of a user starts with engaging the user in a plurality of tasks configured to elicit a predicted specific cognitive and/or emotional response. A first camera films at least one eye of the user recording a time series of events of eye movements of the user, the camera not being in physical contact with the user. The first time series of eye movements are sent to a computing device which compares the eye movements and the plurality of events. The computing device can then identify at least one relationship between eye movements that correlate to an actual specific cognitive and/or emotional response.
Biomagnetic measurement system and biomagnetic measurement method
A biomagnetic measurement system includes a magnetism measurement apparatus configured to measure a magnetism of a target; and an electrical stimulation apparatus configured to apply a stimulation current to the target. The magnetism measurement apparatus includes a confirming unit configured to confirm a magnitude of an artifact caused by the stimulation current. The electrical stimulation apparatus is configured to output a compensation current for reducing the artifact after the stimulation current is output, based on information from the confirming unit.
DENOISING SENSED SIGNALS FROM ARTIFACTS FROM CARDIAC SIGNALS
A method for artifact suppression in a sensed signal includes receiving the sensed signal sensed in a brain of a patient, wherein the sensed signal includes a neural signal and artifacts from a cardiac signal, decomposing the sensed signal into a plurality of components of the sensed signal, determining a first group of components, from the plurality of components, that are correlated with one another, determining an estimate of the cardiac signal based on the first group of components, wherein the estimate of the cardiac signal includes the cardiac signal and components of the neural signal, and generating a denoised neural signal based on the estimate of the cardiac signal and a second group of components of the plurality of components of the sensed signal, wherein the cardiac signal is suppressed in the denoised neural signal, and wherein the second group of components excludes the first group of components.
MAGNETIC MEASURING APPARATUS
A magnetic measuring apparatus includes at least one magnetic sensor, a coil, a driving circuit configured to supply a current to the coil, a conductor electrically connecting the coil and the driving circuit, and a computing device which estimates relative positions of the magnetic sensor and the coil based on a magnetic field generated by the current supplied to the coil and detected by the magnetic sensor. The magnetic sensor has a magnetic detection sensitivity in a particular direction, and the particular direction of the magnetic sensor and a current vector of the current flowing through the conductor are parallel.
Systems and methods for performing electrophysiology (EP) signal processing
Systems, methods, and computer program product embodiments are disclosed for performing electrophysiology (EP) signal processing. An embodiment includes an electrocardiogram (ECG) circuit board configured to process an ECG signal. The embodiment further includes a plurality of intracardiac (IC) circuit boards, each configured to process a corresponding IC signal. The ECG circuit board and the plurality of IC circuit boards share substantially a same circuit configuration and components. The ECG circuit board further processes the ECG signal using substantially a same path as each IC circuit board uses to process its corresponding IC signal.