Electrodes for use in electroencephalographic recording, including consciousness and seizure monitoring applications, have novel features that speed, facilitate or enforce proper placement of the electrodes, including any of alignment indicators, tabs and juts, color coding, and an insulating bridge between reference and ground electrodes which ensures a safe application distance between the conductive regions of the two electrodes in the event of cardiac defibrillation. A method of using a set of at least four such electrodes is also disclosed.

Electrodes for use in electroencephalographic recording, including consciousness and seizure monitoring applications, have novel features that speed, facilitate or enforce proper placement of the electrodes, including any of alignment indicators, tabs and juts, color coding, and an insulating bridge between reference and ground electrodes which ensures a safe application distance between the conductive regions of the two electrodes in the event of cardiac defibrillation. A method of using a set of at least four such electrodes is also disclosed.

A system is configured for receiving force data including at least one value indicating the amount of the force applied to the portion of the user and at least one value indicating a direction of the force applied to the portion of the user; obtaining mapping data specifying at least one relation between values of force applied to the portion of the user and changes in a functional responsiveness, functional and/or structural integrity, or both the functional responsiveness and the functional and/or structural integrity of the brain at one or more locations in the brain; estimating, based on the mapping data and the force data, an amount of force loading at one or more particular locations in the brain; and generating, based on the estimating, output data representing an amount of the damage to the brain at the one or more particular locations in the brain.

A data acquisition system for use with expandable ECG electrode systems. The data acquisition system includes a main unit and one or more expansion units for increasing the number of ECG leads applied to a patient for enhanced monitoring capabilities. Multiple embodiments are illustrated for providing a common mode signal between the main electrode unit and expansion units without requiring the physical transmission of voltage potential between the main unit and the expansion unit. In one embodiment, the main unit and the expansion unit share a common ground reference potential. In a second embodiment, an optical signal is transmitted between the main unit and the extension unit to relay the common mode information while in a third embodiment, common electrode potentials are provided to both the main unit and the extension unit for constructing their own common reference signal.

The present disclosure facilitates capture of biosignal such as biopotential signals in microvolts, or sub-microvolts, resolutions that are at, or significantly below, the noise-floor of conventional electrocardiographic and biosignal acquisition instruments. In some embodiments, the exemplified system disclosed herein facilitates the acquisition and recording of wide-band phase gradient signals (e.g., wide-band cardiac phase gradient signals, wide-band cerebral phase gradient signals) that are simultaneously sampled, in some embodiments, having a temporal skew less than about 1 μs, and in other embodiments, having a temporal skew not more than about 10 femtoseconds. Notably, the exemplified system minimizes non-linear distortions (e.g., those that can be introduced via certain filters) in the acquired wide-band phase gradient signal so as to not affect the information therein.

The present disclosure facilitates capture of biosignal such as biopotential signals in microvolts, or sub-microvolts, resolutions that are at, or significantly below, the noise-floor of conventional electrocardiographic and biosignal acquisition instruments. In some embodiments, the exemplified system disclosed herein facilitates the acquisition and recording of wide-band phase gradient signals (e.g., wide-band cardiac phase gradient signals, wide-band cerebral phase gradient signals) that are simultaneously sampled, in some embodiments, having a temporal skew less than about 1 μs, and in other embodiments, having a temporal skew not more than about 10 femtoseconds. Notably, the exemplified system minimizes non-linear distortions (e.g., those that can be introduced via certain filters) in the acquired wide-band phase gradient signal so as to not affect the information therein.

Circuits are provided for detecting an electrosurgical unit signal. An example circuit includes: a filter configured to process a floating ground signal associated with measuring a bio-potential signal of a patient, and a detector configured to output a sensing signal based at least in part on the floating grounding and the Earth ground for detecting an electrosurgical unit signal.

Circuits are provided for detecting an electrosurgical unit signal. An example circuit includes: a filter configured to process a floating ground signal associated with measuring a bio-potential signal of a patient, and a detector configured to output a sensing signal based at least in part on the floating grounding and the Earth ground for detecting an electrosurgical unit signal.

A system and method is operable to automatically determine the amplitude and latency of one or more evoked potential (EP) or event-related potential (ERP) from electroencephalography (EEG) data. The EEG data from an EEG scan is separated into one or more epochs containing the desired EP or ERP waveforms. Epochs corresponding to the same type of EP or ERP such as N100, P300, and N400 are averaged automatically. The averaged epochs are automatically filtered in the time-frequency domain using an automatically selected filtering mask associated with the type of EP or ERP. A corresponding peak is automatically identified from the filtered epoch, in which the amplitude and latency is automatically measured.

A system and method is operable to automatically determine the amplitude and latency of one or more evoked potential (EP) or event-related potential (ERP) from electroencephalography (EEG) data. The EEG data from an EEG scan is separated into one or more epochs containing the desired EP or ERP waveforms. Epochs corresponding to the same type of EP or ERP such as N100, P300, and N400 are averaged automatically. The averaged epochs are automatically filtered in the time-frequency domain using an automatically selected filtering mask associated with the type of EP or ERP. A corresponding peak is automatically identified from the filtered epoch, in which the amplitude and latency is automatically measured.