Proportional pressure assist ventilation controlled by a diaphragm electromyographic signal
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
A61M-016/00
A62B-007/00
F16K-031/02
출원번호
US-0701824
(1999-06-04)
우선권정보
CA-2239673(1998-06-04)
국제출원번호
PCT/CA99/000529
(1999-06-04)
§371/§102 date
20010531
(20010531)
국제공개번호
WO99/062580
(1999-12-09)
발명자
/ 주소
Sinderby,Christer
Beck,Jennifer
출원인 / 주소
Universite De Montreal
대리인 / 주소
Perman &
인용정보
피인용 횟수 :
9인용 특허 :
29
초록▼
A closed loop system uses (a) the intensity of the diaphragm electromyogram (EMG) for a given inspiratory volume; (b) the inspiratory volume for a given EMG intensity; or (c) a combination of (a) and (b); in view of controlling the level of gas flow, gas volume or gas pressure delivered by a mechani
A closed loop system uses (a) the intensity of the diaphragm electromyogram (EMG) for a given inspiratory volume; (b) the inspiratory volume for a given EMG intensity; or (c) a combination of (a) and (b); in view of controlling the level of gas flow, gas volume or gas pressure delivered by a mechanical (lung) ventilator. The closed loop ventilator system enables for automatic or manual adjustment of the level of inspiratory support in proportion to changes in the neuro-ventilatory efficiency such that the neural drive remains stable at a desired target level. An alarm can also be used to detect changes in neuroventilatory efficiency in view of performing manual adjustments.
대표청구항▼
What is claimed is: 1. A neuro-ventilatory efficiency computation method for monitoring/controlling a level of ventilatory assist to a patient comprising: receiving an EMG signal intensity representative of inspiratory effort of the patient receiving a lung volume value representative of a lung vol
What is claimed is: 1. A neuro-ventilatory efficiency computation method for monitoring/controlling a level of ventilatory assist to a patient comprising: receiving an EMG signal intensity representative of inspiratory effort of the patient receiving a lung volume value representative of a lung volume of the patient determining from the received EMG signal intensity and lung volume value at least one of the two following relations: an EMG signal intensity for a given lung volume value, the received lung volume value then being said given lung volume value; and a lung volume value for a given EMG signal intensity, the received EMG signal intensity then being said given EMG signal intensity; and increasing or decreasing the ventilatory assist level depending on whether said at least one relation has increased or decreased by at least a given percentage. 2. A neuro-ventilatory efficiency computation method as defined in claim 1, wherein: increasing or decreasing the ventilatory assist level comprises increasing the ventilatory assist level by a preset increment when said at least one relation has increased by at least said given percentage. 3. A neuro-ventilatory efficiency computation method as defined in claim 1, wherein: increasing or decreasing the ventilatory assist level comprises increasing the ventilatory assist level by a preset increment when said at least one relation has increased by at least said given percentage until the EMG signal intensity for the given lung volume value is restored to a predetermined, preset value. 4. A neuro-ventilatory efficiency computation method as defined in claim 1, wherein: increasing or decreasing the ventilatory assist level comprises decreasing the ventilatory assist level by a preset decrement when said at least one relation has decreased by at least said given percentage. 5. A neuro-ventilatory efficiency computation method as defined in claim 1, wherein: increasing or decreasing the ventilatory assist level comprises decreasing the ventilatory assist level by a preset decrement when said at least one relation has decreased by at least said given percentage until the EMG signal intensity for the given lung volume value is restored to a predetermined, preset value. 6. A neuro-ventilatory efficiency computation method as defined in claim 1, wherein increasing or decreasing the ventilatory assist level comprises: increasing the ventilatory assist level by a preset increment when said at least one relation has increased by at least said given percentage; and decreasing the ventilatory assist level by a preset decrement when said at least one relation has decreased by at least said given percentage. 7. A neuro-ventilatory efficiency computation method as defined in claim 1, further comprising: generating an alarm when said at least one relation has increased or decreased by the given percentage. 8. A neuro-ventilatory efficiency computation method as defined in claim 1, further comprising: manually adjusting the ventilatory assist level in response to a signal from the operation of increasing or decreasing the ventilatory assist level. 9. A neuro-ventilatory efficiency computation method as defined in claim 1, wherein: determining at least one relation comprises calculating one of the following values of the EMG signal intensity or lung volume value: a mean of the EMG signal intensity or lung volume value, a median the EMG signal intensity or lung volume value, and a peak the EMG signal intensity or lung volume value. 10. A neuro-ventilatory efficiency computation method as defined in claim 1, wherein the EMG signal intensity is a patient's diaphragm EMG signal intensity. 11. A neuro-ventilatory efficiency computation method as defined in claim 1, comprising: calculating a trend in the EMG signal intensity for a given lung volume value using an adjustable time base. 12. A neuro-ventilatory efficiency computation method as defined in claim 1, comprising: calculating a trend in the lung volume value for a given EMG signal intensity using an adjustable time base. 13. A neuro-ventilatory efficiency computation method as defined in claim 1, comprising: limiting a range of the ventilatory assist level within a safe range. 14. A neuro-ventilatory efficiency computation device for monitoring/controlling a level of ventilatory assist to a patient comprising: a first input for receiving an EMG signal intensity representative of inspiratory effort of the patient; a second input for receiving a lung volume value representative of a lung volume of the patient; connected to the first and second inputs a calculator of at least one of the two following relations: an EMG signal intensity for a given lung volume value, the lung volume value received on the second input then being said given lung volume value; and a lung volume value for a given EMG signal intensity, the EMG signal intensity received on the first input then being said given EMG signal intensity; and a controller connected to the first unit, the controller increasing or decreasing the ventilatory assist level depending on whether said at least one relation has increased or decreased by at least a given percentage. 15. A neuro-ventilatory efficiency computation device as defined in claim 14, wherein: the controller increases the ventilatory assist level by a preset increment when said at least one relation has increased by at least said given percentage. 16. A neuro-ventilatory efficiency computation device as defined in claim 14, wherein: the controller increases the ventilatory assist level by a preset increment when said at least one relation has increased by at least said given percentage until the EMG signal intensity for the given lung volume value is restored to a predetermined, preset value. 17. A neuro-ventilatory efficiency computation device as defined in claim 14, wherein: the controller decreases the ventilatory assist level by a preset decrement when said at least one relation has decreased by at least said given percentage. 18. A neuro-ventilatory efficiency computation device as defined in claim 14, wherein: the controller decreases the ventilatory assist level by a preset decrement when said at least one relation has decreased by at least said given percentage until the EMG signal intensity for the given lung volume value is restored to a predetermined, preset value. 19. A neuro-ventilatory efficiency computation device as defined in claim 14, wherein the controller: increases the ventilatory assist level by a preset increment when said at least one relation has decreased by at least said given percentage; and decreases the ventilatory assist level by a preset decrement when said at least one relation has decreased by at least said given percentage. 20. A neuro-ventilatory efficiency computation device as defined in claim 14, further comprising: an alarm generated when said at least one relation has increased or decreased by the given percentage. 21. A neuro-ventilatory efficiency computation device as defined in claim 14, further comprising: means for manually adjusting the ventilatory assist level. 22. A neuro-ventilatory efficiency computation device as defined in claim 14, wherein: the calculator determines one of the following values of the EMG signal intensity or lung volume value: a mean of the EMG signal intensity or lung volume value, a median the EMG signal intensity or lung volume value, and a peak the EMG signal intensity or lung volume value. 23. A neuro-ventilatory efficiency computation device as defined in claim 14, wherein the EMG signal intensity is a patient's diaphragm EMG signal intensity. 24. A neuro-ventilatory efficiency computation device as defined in claim 14, comprising: means for calculating a trend in the EMG signal intensity for a given lung volume value using an adjustable time base. 25. A neuro-ventilatory efficiency computation device as defined in claim 14, comprising: means for calculating a trend in the lung volume value for a given EMG signal intensity using an adjustable time base. 26. A neuro-ventilatory efficiency computation device as defined in claim 14, comprising: means for limiting a range of the ventilatory assist level within a safe range.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (29)
Kitney Richard I. (London GB3) Bignall Simon (London GB3), Apparatus for the monitoring and control of respiration.
Miles Laughton E. (1335 Alma St. Palo Alto CA 94301), Cardio-respiratory control and monitoring system for determining CPAP pressure for apnea treatment.
Gruenke Roger A. (Overland Park KS) Trimble Russell L. (Overland Park KS) Lasnier Christopher D. (Olathe KS) Loethen Steven W. (Independence MO) Orlt Jiri G. (Shawnee KS) Snook James A. (Overland Par, Inspiratory airway pressure system with admittance determining apparatus and method.
Estes Mark C. (Irwin PA) Fiore John H. (Irwin PA), Method and apparatus for providing proportional positive airway pressure to treat sleep disordered breathing.
Behbehani Khosrow ; Burk John R. ; Lopez Francisco J. ; Lucas Edgar A., Method and apparatus for treatment of sleep disorder breathing employing artificial neural network.
Chopin Claude (Attiches FRX) Chambrin Marie-Christine (Wattignies FRX) Barancourt Herv (Villeneuve d\Ascq,all of FRX) Floquet Nicolas (Villeneuve d\Ascq,all of FRX), Process for regulating an artificial ventilation device and such device.
Kou Abraham H. (Redmond WA) Roehl Robin L. (Janesville WI) Schroeder Gerhardt P. (Madison WI), Respiratory therapy apparatus with selective display of parameter set points.
Sinderby, Christer; Beck, Jennifer; Jalde, Frederik; Sallvin, Joachim, Method and device positioning a linear array of electrodes in a patient's respiratory airways.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.