An electrocardiography monitor is provided. A sealed housing includes one end wider than an opposite end of the sealed housing. Electronic circuitry is provided within the sealed housing. The electronic circuitry includes an electrographic front end circuit to sense electrocardiographic signals and a micro-controller interfaced to the electrocardiographic front end circuit to sample the electrocardiographic signals. A buzzer within the housing outputs feedback to a wearer of the sealed housing.

An electrocardiography monitor is provided. A sealed housing includes one end wider than an opposite end of the sealed housing. Electronic circuitry is provided within the sealed housing. The electronic circuitry includes an electrographic front end circuit to sense electrocardiographic signals and a micro-controller interfaced to the electrocardiographic front end circuit to sample the electrocardiographic signals. A buzzer within the housing outputs feedback to a wearer of the sealed housing.

A method for determining a lowest stimulation threshold current level in a group of channels of a neuromonitoring device. The method includes stimulating tissue at a current level from a predetermined range of current levels as a sequence of pulses delivered at a frequency. The stimulating includes increasing the current level of each pulse in the sequence of pulses from an immediately preceding pulse by a first current increment. The method includes determining that a first evocation pulse from the sequence of pulses evokes a first muscular response. The method includes stimulating the tissue with a second evocation pulse from the sequence of pulses to evoke a second muscular response. The stimulating includes decreasing the frequency of the delivery of each pulse in the sequence of pulses and increasing the current level of each pulse in the sequence of pulses from the immediately preceding pulse by a second current increment. The method includes determining that the second evocation pulse from the sequence of pulses evokes the second muscular response.

A method for determining a lowest stimulation threshold current level in a group of channels of a neuromonitoring device. The method includes stimulating tissue at a current level from a predetermined range of current levels as a sequence of pulses delivered at a frequency. The stimulating includes increasing the current level of each pulse in the sequence of pulses from an immediately preceding pulse by a first current increment. The method includes determining that a first evocation pulse from the sequence of pulses evokes a first muscular response. The method includes stimulating the tissue with a second evocation pulse from the sequence of pulses to evoke a second muscular response. The stimulating includes decreasing the frequency of the delivery of each pulse in the sequence of pulses and increasing the current level of each pulse in the sequence of pulses from the immediately preceding pulse by a second current increment. The method includes determining that the second evocation pulse from the sequence of pulses evokes the second muscular response.

The present invention relates to a physiological monitor and system, more particularly to an electroencephalogram (EEG) monitor and system, and a method of detecting the presence or occurrence of suppression in the EEG signal. Accurately detecting signal suppression in real-time provides the clinician with the ability to prevent possibly severe, long-term damage to patients as a result of excessive anesthetic or sedative. The present invention provides such a system and method for accurately and automatically detecting suppression in physiological, particularly EEG, signals in real-time and allowing for the administration of treatment or medication to reverse the effects of such situations, or minimize the harm caused. The present invention also allows for the use of closed-loop treatment or drug delivery systems to further automate the process and provide rapid treatment to a patient to reverse or minimize potential harm.

The present invention relates to a physiological monitor and system, more particularly to an electroencephalogram (EEG) monitor and system, and a method of detecting the presence or occurrence of suppression in the EEG signal. Accurately detecting signal suppression in real-time provides the clinician with the ability to prevent possibly severe, long-term damage to patients as a result of excessive anesthetic or sedative. The present invention provides such a system and method for accurately and automatically detecting suppression in physiological, particularly EEG, signals in real-time and allowing for the administration of treatment or medication to reverse the effects of such situations, or minimize the harm caused. The present invention also allows for the use of closed-loop treatment or drug delivery systems to further automate the process and provide rapid treatment to a patient to reverse or minimize potential harm.

A medical apparatus for an organ has a substrate that conforms to a shape of the organ, and a plurality of processing units connected to the substrate and distributed throughout the substrate. Each of the processing units has a sensor, processing device and actuator. The sensor senses a condition of the organ and provides a sensed signal. The processing device receives the sensed signal from said sensor, analyzes the sensed signal and provides a control signal. The actuator applies an output pulse to the organ in response to the control signal from the processing device.

In accordance with one embodiment of the present disclosure, a method includes generating a plurality of icons, wherein each icon has a target frequency unique from each other, receiving brain activity data based on an epoch, generating a reference signal based on the epoch, calculating correlation coefficients between the brain activity data and the reference signal, wherein the correlation coefficients are calculated in a window that is within ±0.5 Hz of the target frequencies, including endpoints, determining a confidence score based on the correlation coefficients and the epoch, and determining a selected icon among the plurality of icons based on the correlation coefficients in response to the confidence score surpassing a threshold confidence score.

One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.

One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.