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A method and apparatus for determining suitable settings for a servo-ventilator to be used during a treatment period. Respiratory characteristics of a patient are measured during a learning period preceding the treatment period. With these measured characteristics, a target ventilation setting may b

A method and apparatus for determining suitable settings for a servo-ventilator to be used during a treatment period. Respiratory characteristics of a patient are measured during a learning period preceding the treatment period. With these measured characteristics, a target ventilation setting may be calculated by alternative methods. The calculated setting may then be used for enforcing a minimum ventilation during the treatment period where ventilatory support is provided with a servo-controlled ventilator.

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1. A method of determining at least one setting of a ventilator to be used during a treatment period, comprising: measuring, with a sensor, at least one respiratory characteristic of a patient during at least a latter portion of a learning period preceding the treatment period; anddetermining, with

1. A method of determining at least one setting of a ventilator to be used during a treatment period, comprising: measuring, with a sensor, at least one respiratory characteristic of a patient during at least a latter portion of a learning period preceding the treatment period; anddetermining, with a processor, at least one setting value from said at least one respiratory characteristic to be used for the operation of said ventilator during the treatment period. 2. The method of claim 1 wherein said at least one respiratory characteristic is a measure of ventilation. 3. The method of claim 2 wherein at least one setting value is a target ventilation. 4. The method of claim 3 wherein said measure of ventilation is an average minute ventilation. 5. The method of claim 4 wherein said target ventilation is a target minute ventilation. 6. The method of claim 5 wherein said target minute ventilation is a function of said average minute ventilation. 7. The method of claim 6 wherein said function is a fixed proportion. 8. The method of claim 7 wherein said fixed proportion is about 90%. 9. The method of claim 3 further comprising delivering ventilatory support during the treatment period in accordance with at least one setting value. 10. The method of claim 3 further comprising analyzing patient estimation information to determine an estimated target ventilation; wherein said setting value is a calculated weighted average of said estimated target ventilation and a second target ventilation derived from said measure of ventilation. 11. The method of claim 3 wherein the measuring at least one respiratory characteristic includes deriving measures of spontaneous ventilation and measures of arterial oxygen saturation. 12. The method of claim 11 wherein the determining a setting value includes an analysis of a graph of said measures of spontaneous ventilation and measures of arterial oxygen saturation. 13. The method of claim 12 wherein said graph includes a fitted curve derived from said measures of spontaneous ventilation and measures of arterial oxygen saturation using least squares nonlinear regression. 14. The method of claim 13 wherein said curve is an exponential function. 15. The method of claim 11 wherein the determining a setting value includes an application of a function to said measures of spontaneous ventilation and measures of arterial oxygen saturation, said function being derived using a method of least squares nonlinear regression. 16. The method of claim 15 wherein said function is an equation of an exponential curve. 17. The method of claim 11 wherein said measures of spontaneous ventilation are delayed and low-pass filtered to associate changes in said arterial oxygen saturation with changes in said measures of spontaneous ventilation. 18. The method of claim 2 wherein another respiratory characteristic is arterial hemoglobin oxygen saturation. 19. The method of claim 18 wherein at least one setting value is calculated from the relationship between said oxygen saturation and said measure of ventilation. 20. The method of claim 19 wherein said measure of ventilation is a minute ventilation. 21. The method of claim 2 wherein at least one setting value is derived through a fuzzy expert system with input variables including a target ventilation derived from said measure of ventilation and patient estimation information. 22. The method of claim 2 wherein said measure of ventilation is a tidal volume ventilation. 23. The method of claim 22 wherein said target ventilation is a tidal volume ventilation. 24. The method of claim 1 further comprising delivering a degree of ventilatory support to a patient during said learning period wherein said degree of ventilatory support is set at a fixed minimum. 25. The method of claim 24 wherein the degree of ventilatory support includes a fixed level of supplemental oxygen wherein said steps are repeated in a subsequent learning period with said degree of ventilatory support set at a different fixed minimum from a prior learning period and said ventilatory support includes a different fixed level of supplemental oxygen from said prior learning period. 26. The method of claim 1 wherein said at least one respiratory characteristic is a measure of respiration rate. 27. The method of claim 26 wherein at least one setting value is a target respiration rate. 28. The method of claim 27 wherein said measure of respiration rate is an average respiration rate. 29. The method of claim 28 wherein said average respiration rate is averaged over about the latter 75% of the learning period. 30. The method of claim 1 wherein said at least one respiratory characteristic is a measure of arterial partial pressure of carbon dioxide. 31. The method of claim 30 wherein at least one setting value is a target ventilation which is a product of a current target ventilation and the measure of arterial partial pressure of carbon dioxide divided by a desired arterial partial pressure of carbon dioxide. 32. An apparatus for determining a ventilation setting of a ventilator, the apparatus comprising: a sensor to measure at least one respiratory characteristic of a patient during at least a latter portion of a learning period preceding a treatment period; anda processor configured to determine, based on the measured at least one respiratory characteristic, at least one setting value to be used for the operation of the ventilator during the treatment period. 33. The apparatus of claim 32 wherein said at least one respiratory characteristic is a measure of ventilation. 34. The apparatus of claim 33 wherein at least one setting value is a target ventilation. 35. The apparatus of claim 34 wherein said measure of ventilation is an average minute ventilation. 36. The apparatus of claim 35 wherein said target ventilation is a target minute ventilation. 37. The apparatus of claim 36 wherein said target minute ventilation is a function of said average minute ventilation. 38. The apparatus of claim 37 wherein said function is a fixed proportion. 39. The apparatus of claim 38 wherein said fixed proportion is about 90%. 40. The apparatus of claim 34 further comprising: a blower to supply pressurized air to a mask,wherein the processor is further configured to control delivery of said pressurized air during the treatment period in accordance with at least one setting value. 41. The apparatus of claim 34, wherein the processor is further configured to analyze patient estimation information and determine an estimated target ventilation based on the patient estimation information, wherein said setting value is a calculated weighted average of said estimated target ventilation and a second target ventilation derived from said measure of ventilation. 42. The apparatus of claim 33, further comprising a second sensor for measuring arterial hemoglobin oxygen saturation. 43. The apparatus of claim 42, wherein the processor is configured to determine said at least one setting value based on the relationship between said oxygen saturation and said measure of ventilation. 44. The apparatus of claim 43, wherein said measure of ventilation is a minute ventilation. 45. The apparatus of claim 42 wherein said first sensor further derives measures of spontaneous ventilation. 46. The apparatus of claim 45 wherein the processor is further configured to determine a setting value includes based on an analysis of a graph of said measures of spontaneous ventilation and measures of arterial oxygen saturation. 47. The apparatus of claim 46 wherein said graph includes a fitted curve derived from said measures of spontaneous ventilation and measures of arterial oxygen saturation using least squares nonlinear regression. 48. The apparatus of claim 47 wherein said curve is an exponential function. 49. The apparatus of claim 45 wherein the processor is further configured to apply a function to said measures of spontaneous ventilation and measures of arterial oxygen saturation, said function being derived using a method of least squares nonlinear regression. 50. The apparatus of claim 49 wherein said function is an equation of an exponential curve. 51. The apparatus of claim 45 wherein the processor is further configured to delay and low-pass filter said measures of spontaneous ventilation in order to associate changes in said arterial oxygen saturation with changes in said measures of spontaneous ventilation. 52. The apparatus of claim 33, wherein the processor is configured to determine said at least one setting value through a fuzzy expert system with input variables including a target ventilation derived from said measure of ventilation and patient estimation information. 53. The apparatus of claim 33 wherein said measure of ventilation is a tidal volume ventilation. 54. The apparatus of claim 53 wherein said target ventilation is a tidal volume ventilation. 55. The apparatus of claim 32, wherein the processor is further configured to set delivery of a degree of ventilatory support to a patient, wherein the degree of ventilator support during said learning period is set to a fixed minimum. 56. The apparatus of claim 55 wherein the degree of ventilatory support includes a fixed level of supplemental oxygen, and wherein the processor is configured to set said degree of ventilatory support in a subsequent learning period to a fixed minimum different from the fixed minimum of said prior learning period, wherein said ventilatory support includes a different fixed level of supplemental oxygen from said prior learning period. 57. The apparatus of claim 32 wherein said at least one respiratory characteristic is a measure of respiration rate. 58. The apparatus of claim 57 wherein at least one setting value is a target respiration rate. 59. The apparatus of claim 58 wherein said measure of respiration rate is an average respiration rate. 60. The apparatus of claim 59 wherein the processor is configured to calculate said average respiration rate over about the latter 75% of the learning period. 61. The apparatus of claim 32 wherein said at least one respiratory characteristic is a measure of arterial partial pressure of carbon dioxide. 62. The apparatus of claim 61 wherein at least one setting value is a target ventilation which is a product of a current target ventilation and the measure of arterial partial pressure of carbon dioxide divided by a desired arterial partial pressure of carbon dioxide. 63. An apparatus for determining a ventilation setting of a ventilator, the apparatus comprising: means for measuring at least one respiratory characteristic of a patient during at least a latter portion of a learning period preceding a treatment period;means for determining, based on the measured at least one respiratory characteristic, at least one setting value used for the operation of the ventilator; andmeans for supplying ventilation during the treatment period in accordance with the determined setting value.