CENTRALIZED HOSPITAL MONITORING SYSTEM FOR AUTOMATICALLY DETECTING UPPER AIRWAY INSTABILITY AND FOR PREVENTING AND ABORTING ADVERSE DRUG REACTIONS

• US 20120330118A1
• Filed: 09/05/2012
• Published: 12/27/2012
• Est. Priority Date: 05/17/2001
• Status: Active Grant

• Current Assignee: Lawrence A. Lynn
• Original Assignee: Lawrence A. Lynn
• Inventors: Lynn, Lawrence A., Lynn, Eric N.
• Granted Patent: US 9,031,793 B2
• Time in Patent Office: Days
• US Class Current: 600/324
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A system and method for the automatic diagnosis of obstructive sleep apnea in a centralized hospital critical care monitoring system for the monitoring of a plurality of patients in at least one of a critical care, step down, and cardiac ward by telemetry. The system includes a central processor having a display, and a plurality of telemetry units for mounting with patients, each of the telemetry units has a plurality of sensors for connection with each patient, the telemetry unit is capable of the transmission of multiple signals derived from the sensors to the central processor, in one preferred embodiment the method comprising steps of programming the system to analyze the signals and to automatically identify the presence and severity of obstructive sleep apnea and to provide an indication of the identification.

Claims

1. A monitoring system, comprising:

a monitor capable of receiving input relating to patient physiological parameters and storing data related to the parameters, the monitor comprising;

a pattern detection feature capable of analyzing the data to detect a pattern in the data; and

a graphical indicator capable of being displayed comprising a graphical representation based at least in part on one or more of an occurrence or severity of a clustering of the pattern.

2. The system of claim 1, wherein data related to the parameters comprises pulse oximetry data.

3. The system of claim 1, wherein the pattern comprises an oxygen saturation pattern indicative of ventilatory instability.

4. The system of claim 1, wherein the graphical indicator comprises an indicator that changes in relation to the occurrence or the severity of the clustering of the pattern.

5. A method, comprising:

receiving input relating to patient physiological parameters and storing data related to the parameters; and

detecting an oxygen saturation pattern indicative of ventilatory instability in the data.

6. The method of claim 5, comprising displaying a graphical indicator comprising a graphical representation based at least in part on one or more of an occurrence, or severity of a clustering of the oxygen saturation pattern indicative of ventilatory instability.

7. A system, comprising:

a sensor capable of sensing patient physiological parameters;

a monitor capable of receiving input from the sensor related to the patient physiological parameters and storing the data related to the parameters, the monitor comprising;

a pattern detection feature capable of analyzing the data to detect a pattern in the data; and

a graphical indicator capable of being displayed comprising a graphical representation based at least in part on one or more of an occurrence or severity of a clustering of the pattern.

8. The system of claim 7, wherein the sensor comprises a pulse oximetry sensor.