Lung protection electrocautery

• US 5,848,974 A
• Filed: 01/29/1996
• Issued: 12/15/1998
• Est. Priority Date: 01/29/1996
• Status: Expired due to Fees

• Current Assignee: Wang Cheng, Xiang Wang
• Original Assignee: Wang Cheng, Xiang Wang
• Inventors: Wang, Xiang, Cheng, Wang
• Primary Examiner(s): Sykes, Angela D.
• Assistant Examiner(s): Huang, Stephen D.
• Application Number:
  US08/593,391
• Time in Patent Office: 1,051 Days
• Field of Search: 128/716, 128/721, 128/720, 128/725
• US Class Current: 600/532
• CPC Class Codes: A61B 18/12 by passing a current through the tissue to be heated, e.g. high-frequency current
• CPC Class Codes: A61B 18/14 Probes or electrodes therefor
• CPC Class Codes: A61B 2018/00178 Electrical connectors
• CPC Class Codes: A61M 16/00 Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes stimulating the respiratory movement by mechanical, pneumatic or electrical means, iron lungs combined with gas breathing means A61H31/00
• CPC Class Codes: A61M 16/026 specially adapted for predicting, e.g. for determining an information representative of a flow limitation during a ventilation cycle by using a root square technique or a regression analysis

Abstract

The present invention reliably provides a lung protection function for an electrocautery device by unitizing an automatic bovie activation/inactivation unit. The lung protection unit utilizes a threshold calculated from the maximum and minimum airway pressure signal in a ventilator or an anesthesia machine to inactivate the bovie before the maximal lung expansion reaches the bovie during a thoracic surgery. Bovie is activated again as soon as the lung expansion level decreases to below the threshold level. This device is an attached optional unit or can be built into a standard electrocautery equipment.

Claims

1. A method of providing a lung protection function in an electrocautery system, the said method comprising the steps of:

converting a patient airway pressure signal in a ventilator or an anesthesia machine into an electrical signal with a pressure transducer placed inside the patient endotracheal tubing system or in an inspiratory limb or expiratory limb internal to the ventilator or the anesthesia machine; and

generating an auto-correlation function of data from the converted electrical airway pressure signal for a selected portion spanning at least one and half of a respiration period/cycle iteratively and dynamically; and

determining maximum and minimum values of the electrical airway pressure signal from an iteratively and dynamically updated duration that is a function of the determined airway pressure signal period/cycle; and

calculating a threshold from the determined maximum and minimum values and comparing the threshold with actual live patient electrical airway pressure signal, activating/inactivating a bovie accordingly in real-time.

2. The method of claim 1 wherein the determining step comprises the steps of:

determining a maximum amplitude value of the auto-correlation function; and

determining a series of time occurrences in a selected portion of the auto-correlation function at least as great as a predetermined fractional value of the maximum amplitude value.

3. The method of claim 2 wherein the amplitude value identifying step comprises the steps of:

initially identifying a time of occurrence of a maximum amplitude value in the selected portion of the auto-correlation function; and

identifying a first amplitude value of the auto-correlation function at least as great as a predetermined fractional value of the maximum amplitude value occurring in the auto-correlation function; and

identifying a second amplitude value of the auto-correlation function at least as great as the predetermined fractional value of the maximum amplitude value occurring in the auto-correlation function.

4. The method of claim 3 further comprising the steps of determining a respiration period/cycle of the patient electrical airway pressure signal from a difference between time of occurrence of a first determined maximum amplitude value of the auto-correlation function and the time of occurrence of a second determined maximum amplitude value of the auto-correlation function.

5. The method of claim 1 wherein the step of generating the auto-correlation function comprises generating a Fast Fourier Transform derived auto-correlation function of a selected portion of the electrical airway pressure signal.

6. The method of claim 5 wherein the step of generating the auto-correlation function further comprises generating the auto-correlation function with a zero padding function.

7. The method of claim 1 further comprising the initial steps of:

differentiating the auto-correlation function with respect to time; and

scaling the differentiated auto-correlation function non-linearly to emphasize amplitude peaks in the differentiated auto-correlation; and

identifying a maximum amplitude value of the scaled function occurring in an interval including at least one and half of a respiration period/cycle of the auto-correlation function; and

identifying each amplitude value of the scaled auto-correlation in the selected interval at least as great as a predetermined fraction of the maximum amplitude value.

8. The method of claim 7 wherein identifying each amplitude value at least as great as one half of the maximum amplitude value.

9. The method of claim 1 further comprising the step of initially filtering the electrical airway pressure signal to remove high frequency components from sources of electrical interference external to the patient and wherein the generating step comprises generating the auto-correlation function from the filtered electrical airway pressure signal.

10. The method of claim 9 wherein the filtering step comprises removing frequency components of about 55 Hz or more from the electrical airway pressure signal.

11. The method of claim 9 wherein the electrical airway pressure signal data is digitized and the filtering step comprises passing the digitized electrical signal through an all-integer-coefficient filter.

12. The method of claim 1 wherein the searching the maximal and minimal values of the electrical airway pressure signal comprises steps of:

determining the maximal and minimal values of said electrical airway pressure signal; and

computing a value as A which equals to 90% of a range between said minimal to said maximal value; and

computing a value as B which equals to 75% of the range between said minimal value and maximal value; and

if user selects up 10% (of lung expansion) lung protection, inactivating bovie when the value of said electrical airway pressure signal is at/or above said value A;

if user selects up 25% (of lung expansion) lung protection, inactivating bovie when the value of said electrical airway pressure signal is at or above said value B.

13. The method of claim 12 wherein the selection of the value A, B can be other any percentage less than 70%.

14. The method of claim 12 wherein the selection can be more than two (10% and 25%).

15. The method of claim 1 wherein using the threshold to compare with the actual live patient electrical airway pressure signal, therefore, activating/inactivating the bovie accordingly in real-time comprises steps of:

a very short time duration of the electrical airway pressure signal is digitized; and

initially filtering the said electrical airway pressure signal to remove high frequency components from sources of electrical interference external to the patient; and

determining the maximal and minimal values of the said filtered electrical airway pressure signal; and

comparing the maximal and minimal values with the determined threshold to activate/inactivate a relay device 11 that controls the bovie unit; and

continuing above said method steps iteratively for as long as main power is on.

16. The method of claim 15 wherein digitizing a short time duration comprises digitizing the electrical airway pressure signal for a short duration of 50 mini seconds.

17. The method of claim 15 wherein the filtering step comprises removing frequency components of about 55 Hz or more from the electrical airway pressure signal.

18. The method of claim 15 wherein the electrical airway pressure signal data is digitized and the filtering step comprises passing the digitized electrical signal through an all-integer-coefficient filter.

19. Apparatus for providing a lung protection function in an electrocautery, the said apparatus comprising:

means to obtain a airway pressure in patient endotracheal tubing system or in an inspiratory limb or expiratory limb internal to a ventilator or an anesthesia machine; and

means to digitize the electrical airway pressure signal into digital data;

means to perform computation, such as a programmable computer or a microprocessor; and

means to perform large scale digital signal processing, such as a digital signal processing chip.

20. Apparatus for providing a lung protection function in an electrocautery, the said apparatus comprising:

external buttons to select continuous or discrete protection control levels; and

an external button to perform function of up 10% lung protection;

an external button to perform function of up 25% lung protection;

an external button to shut down lung protection function only; and

computer means connected to receive data from an electrical airway pressure signal determining means.