MICROPROCESSOR SYSTEM FOR THE ANALYSIS OF PHYSIOLOGIC AND FINANCIAL DATASETS

• US 20110015501A1
• Filed: 07/19/2010
• Published: 01/20/2011
• Est. Priority Date: 01/27/1997
• Status: Active Grant

• Current Assignee: Eric N Lynn, Lawrence A. Lynn
• Original Assignee: Eric N Lynn, Lawrence A. Lynn
• Inventors: Lynn, Eric N., Lynn, Lawrence A.
• Granted Patent: US 8,241,213 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/087 Measuring breath flow
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A system and method for organization and analysis of complex and dynamically interactive time series is disclosed. One example comprises a processor based system for relational analysis of physiologic signals for providing early recognition of catastrophic and pathologic events such as pathophysiologic divergence. The processor is programmed to identify pathophysiologic divergence of at least one of first and second physiologic parameters in relationship to the other and to output an indication of the divergence. An object-based method of iterative relational processing waveform fragments in the time domain is described wherein each more complex waveform object inherits the characteristics of the waveform objects from which it is derived. The first physiologic parameter can be the amplitude and frequency of the variation in chest wall impedance or nasal pressure and the second parameter can be a measure or indication of the arterial oxygen saturation.

Claims

1-38. -38. (canceled)

39. A microprocessor system for evaluation of a patient, the system comprising:

at least one monitor having at least one sensor for positioning adjacent said patient and at least one processor programmed to;

produce a first timed waveform based on a first physiologic parameter of a patient,

produce a second timed waveform based on a second physiologic parameter which is generally subordinate to said first physiologic parameter, so that said second physiologic parameter normally changes in response to changes in said first physiologic parameter,

identify pathophysiologic divergence of at least one of said first and second physiologic parameters in relationship to the other of said physiologic parameters, the pathophysiologic divergence comprising a change that is both unexpected and pathological, and

automatically determine a possible dysfunction associated with the change; and

output an indication of the dysfunction.

40. The system, as in claim 39, wherein the at least one processor is further programmed to:

a) calculate an index of said pathophysiologic divergence and, b) provide an indication based on said index.

41. The system of claim 39, wherein said first physiologic parameter comprises at least one of an indication and measure of a magnitude of timed ventilation of the patient.

42. The system of claim 39, wherein said second parameter comprises a measure of arterial oxygenation.

43. The system of claim 41, wherein said first physiologic parameter includes an amplitude and/or frequency of variation in chest wall impedance.

44. The system of claim 41, wherein said first physiologic parameter includes an amplitude and/or frequency of variation in nasal pressure.

45. The system of claim 39, wherein said first physiologic parameter is a measure and/or an indication of carbon dioxide.

46. The system of claim 41, wherein the first physiologic parameter is a measure of timed volume of at least one gaseous component of ventilation.

47. A method of monitoring a patient comprising:

monitoring a patient with at least one sensor to produce a first timed waveform of a first physiologic parameter and a second timed waveform of a second physiologic parameter by transforming sensed physiological input into visual data, the second physiologic parameter being physiologically subordinate to said first physiologic parameter, and

a processor identifying a pattern indicative of pathophysiologic divergence of at least one of said waveforms in relation to the other of said waveforms, the pathophysiologic divergence comprising a change that is both unexpected and pathological;

the processor automatically determining a possible dysfunction associated with the change; and

the processor outputting an indication of the possible dysfunction.

48. The method of claim 47, wherein said first timed waveform is defined by a time interval of greater than about 5-20 minutes.

49. The method of claim 47 wherein said first and second timed waveforms are derived from airflow and pulse oximetry measurements.

50. The method of claim 47, comprising controlling a diagnostic and/or treatment device with a secondary processor programmed to respond to the output of said processor.

51. The method of claim 50, comprising adjusting a program of said secondary processor with said processor.

52. The method of claim 50, comprising recognizing hypopneas with said secondary processor and providing airflow with said treatment device, said processor adjusting a program of said secondary processor based on said pattern.

53. The method of claim 50 wherein said treatment device is an automatic defibrillator.

54. The method of claim 50, comprising mounting said secondary processor with said treatment and/or diagnostic device, and wherein said processor is detachable from a connection with said secondary processor.

55. The method of claim 50, comprising monitoring and analyzing a plurality of different patient related signals including electrocardiographic signals with said processor.

56. The method of claim 50, wherein said-processor is a polysomnography monitor, and comprising monitoring a plurality of different signals including encephalographic signals with said processor.

57. The method of claim 47, wherein said second physiologic parameter comprises a measure of arterial oxygenation.

58. A tangible, non-transitory computer readable medium having stored thereon computer-executable instructions for performing a method for monitoring a patient, the instructions comprising:

instructions to receive a first timed waveform from a first sensor that monitors a patient, wherein the first timed waveform measures a first physiologic parameter

instructions to receive a second timed waveform from a second sensor that monitors the patient, wherein the second timed waveform measures a second physiologic parameter, the second physiologic parameter being physiologically subordinate to said first physiologic parameter, and

instructions to identify a pattern indicative of a pathophysiologic divergence of the first and second timed waveforms, the pathophysiologic divergence comprising an unexpected change to and pathological;

instructions to determine automatically a possible dysfunction associated with the change; and

instructions to output an indication of the possible dysfunction.