# US 2014/0194769 A1 · Multiple Patient EEG Monitoring

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- Number: US 2014/0194769 A1
- Document ID: US20140194769A1
- Status: Published application
- Kind: A1
- Application number: 13/831,609
- Filed: 2013-03-15
- Published: 2014-07-10
- Earliest claimed: 2011-09-19
- Assignees: Persyst Development Corporation
- Inventors: Nicolas Nierenberg; Scott B. Wilson; Mark L. Scheuer
- Web page: https://patentgrep.com/patent/US20140194769A1

## CPC

- A61B 5/0006: {ECG or EEG signals}
- A61B 5/002: {Monitoring the patient using a local or closed circuit, e.g. in a room or building (A61B5/0017 takes precedence)}
- A61B 5/31: for electroencephalography [EEG]
- A61B 5/372: Analysis of electroencephalograms
- A61B 5/374: Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
- A61B 5/384: Recording apparatus or displays specially adapted therefor
- A61B 5/4094: {Diagnosing or monitoring seizure diseases, e.g. epilepsy}
- A61B 5/7203: {for noise prevention, reduction or removal}
- A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems}
- A61B 5/7282: {Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818)}
- A61B 5/7425: {Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image}
- A61B 5/7445: {Display arrangements, e.g. multiple display units}
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

A system and method for multiple EEG acquisition and monitoring is disclosed herein. The system includes multiple EEG machines connected to a central station over a network. Each EEG machine of the multiple EEG machines has a separate cell on a screen page to allow for an operator to monitor each of the EEG machines.

## Claims

### Claim 1

A system for monitoring multiple EEG machines and acquiring EEG recording from each EEG machine, the system comprising:
a plurality of EEG machines, each of the plurality of EEG machine comprising a plurality of electrodes for generating a plurality of EEG signals;
a network;
a client site comprising a processing engine, a database and a display monitor, the processing engine configured to process each of the plurality of EEG signals from each of the EEG machines to generate a plurality of processed EEG recordings, wherein the processing engine is configured to display each of the EEG recordings in a separate cell in a display page for display on the display monitor.

### Claim 2 (depends on 1)

The system according to claim 1 wherein a plurality of trends is displayed for each of the EEG recordings in each of the separate cells in the display page.

### Claim 3 (depends on 1)

The system according to claim 1 wherein the processing engine is configured to assign a separate cell to a newly active EEG machine.

### Claim 4 (depends on 1)

The system according to claim 1 wherein the processing engine is configured to allow for switching between multiple modes.

### Claim 5 (depends on 1)

The system according to claim 1 wherein the processing engine is configured to update each of the separate cells in real-time.

### Claim 6 (depends on 1)

The system according to claim 1 wherein the processing engine is configured to permit one-click to open an active EEG recording and occupy the entire display page with the single separate cell.

### Claim 7 (depends on 1)

The system according to claim 1 wherein the processing engine is configured to assign a user interface.

### Claim 8 (depends on 1)

The system according to claim 1 wherein the processing engine is configured to change a parameter of a plurality of parameters of one cell without affecting the plurality of parameters of any of the other cells on the display page.

### Claim 9 (depends on 1)

The system according to claim 1 wherein the processing engine is configured to move through different open EEG recordings on the display page, move to a partial EEG recording, and permit one-click to open an active EEG recording and occupy the entire display page with the single separate cell.

### Claim 10 (depends on 1)

The system according to claim 1 wherein the processing engine is configured to allow for review of an entire EEG record on the display page.

### Claim 11 (depends on 1)

The system according to claim 1 wherein each of the EEG machines of the plurality of EEG machines further comprises a processor connected to the plurality of electrodes to generate an EEG recording from the plurality of EEG signals and a display connected to the processor for displaying an EEG recording in proximity to the patient.

### Claim 12

A method for monitoring multiple EEG machines and acquiring EEG recordings for each of the EEG machines, the method comprising:
monitoring a plurality of EEG machines from a central station, each of the plurality of EEG machines comprising a plurality of electrodes, an amplifier and processor, the central station in communication with each of the plurality of EEG machine over a network;
acquiring EEG signals from each active EEG machine of the plurality of EEG machines;
processing the EEG signals to generate processed EEG recordings for each of the active EEG machines of the plurality of EEG machines;
displaying each of the processed EEG recordings for each of the active EEG machines of the plurality of EEG machines in a separate cell on a display page at a client device.

### Claim 13 (depends on 12)

The method according to claim 12 further comprising transmitting the EEG signals over a network to a processing engine at the client device to generate processed EEG recordings for each of the active EEG machines of the plurality of EEG machines.

### Claim 14 (depends on 12)

The method according to claim 12 further comprising processing the EEG signals for each EEG machine at the EEG machine to generate a processed EEG recording for each of the active EEG machines of the plurality of EEG machines, and transmitting the processed EEG recording for each of the active EEG machines of the plurality of EEG machines over a network to the client device.

### Claim 15 (depends on 14)

The method according to claim 14 further comprising displaying a plurality of trends for each of the EEG recordings in each of the separate cells in the display page.

### Claim 16 (depends on 14)

The method according to claim 14 further comprising assigning a separate cell to a newly active EEG machine.

### Claim 17 (depends on 14)

The method according to claim 14 further comprising switching between multiple modes in each of the separate cells.

### Claim 18 (depends on 14)

The method according to claim 14 further comprising updating each of the separate cells in real-time.

### Claim 19 (depends on 14)

The method according to claim 14 further comprising opening an active EEG recording and occupying the entire display page with the single separate cell using one-click.

### Claim 20 (depends on 14)

The method according to claim 14 further comprising assigning a user interface.

### Claim 21 (depends on 14)

The method according to claim 14 further comprising changing a parameter of a plurality of parameters of one cell without affecting the plurality of parameters of any of the other cells on the display page.

### Claim 22 (depends on 14)

The method according to claim 14 further comprising moving through different open EEG recordings on the display page, moving to a partial EEG recording, and permitting one-click to open an active EEG recording and occupy the entire display page with the single separate cell.