Urinary flow classification system and method

• US 5,377,101 A
• Filed: 02/21/1992
• Issued: 12/27/1994
• Est. Priority Date: 02/21/1992
• Status: Expired due to Term

• Current Assignee: Harm J. Rollema
• Original Assignee: Harm J. Rollema
• Inventors: Rollema, Harm J.
• Primary Examiner(s): Envall, Jr., Roy N.
• Assistant Examiner(s): Thomas, Joseph
• Application Number:
  US07/840,056
• Time in Patent Office: 1,040 Days
• Field of Search: 128/760, 128/771, 73/226, 73/861, 73/23.36, 73/23.37, 73/861, 73/196, 364/413.02, 364/413.01, 364/413.03, 422/68.1
• US Class Current: 600/584
• CPC Class Codes: A61B 5/208 adapted to determine urine quantity, e.g. flow, volume
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis

Abstract

A computer-controlled method and expert system for urinary flow measurement, analysis and classification that facilitates accurate and reliable discrimination between normal and abnormal micturition. A diagnostic uroflow classification software routine is provided to facilitate reliable interpretation of urinary flow curves. The routine affords a reliable approach to interpret the uroflow curve by characterizing it by reliable and sensitive variables. It can then be determined if the values of these variables lie in the normal range or not. The classification system and method uses diagnostically significant variables with unambiguous definitions, reliable normal limits, and a standardized analysis procedure.

Claims

1. A system for measuring and classifying urinary flow data from a patient based on a voided volume of at least 50 ml for male and at least 60 ml females, comprising:

means for collecting a sample from the patient, the sample collected being equal to the voided volume;

a digital processor;

output means connected to the digital processor;

storage means connected to the digital processor for storing normal flow variable data, said normal flow variable data being derived from a reference group of healthy patients using a statistical analysis that accounts for intrasubject variability based essentially on voided volume;

a flow rate transducer within said collecting means for measuring the patient'"'"'s flow rate during micturition and for generating an output signal proportional to said flow rate;

means connected to the flow rate transducer for receiving the output signal and generating a flow rate signal;

calculation means for receiving the flow rate signal and in response thereto generating measured flow variable data signals;

comparison means for comparing the normal flow variable data stored in said storage means with the measured flow variable data signals from said calculations means to determine whether the patient'"'"'s urinary flow represents a healthy condition, a diseased condition or a borderline region condition; and

classification means responsive to the comparison means for classification of the urinary flow condition.

2. The system as described in claim 1 further including means for calculating a classification factor for classifying the patient'"'"'s urinary flow data to a degree of abnormality.

3. The system as described in claim 1 wherein the normal flow variable data includes a maximum flow rate.

4. The system as described in claim 1 wherein the normal flow variable data includes total voiding volume.

5. The system as described in claim 1 wherein the normal flow variable data includes voiding time for a central 90% of the voided volume.

6. The system as described in claim 5 wherein the normal flow variable data includes a mean flow rate during the cental 90% of the voided volume.

7. The system as described in claim 1 wherein the normal flow variable data includes time elapsed from a moment of maximum flow to a moment of 95% of the voided volume has been recorded.

8. The system as described in claim 1 wherein the normal flow variable data includes estimated bladder wall contraction at 40 ml bladder contents.