Determination of clinical stress of a subject in pulse oximetry

• US 7,635,337 B2
• Filed: 03/24/2005
• Issued: 12/22/2009
• Est. Priority Date: 03/24/2005
• Status: Expired due to Fees

• Current Assignee: General Electric Company
• Original Assignee: GE Healthcare Finland OY (General Electric Company)
• Inventors: Huiku, Matti, Takala, Panu
• Primary Examiner(s): Marmor, II; Charles A
• Assistant Examiner(s): JANG, CHRISTIAN YONGKYUN
• Application Number:
  US11/089,548
• Publication Number:
  US 20060217615A1
• Time in Patent Office: 1,734 Days
• Field of Search: 600/484, 600/500
• US Class Current: 600/484
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/4824 Touch or pain perception evaluation A61B5/4821 takes precedence

Abstract

The invention relates to the determination of the clinical stress of a subject. In order to bring about an uncomplicated and cost-effective method for monitoring the stress status of a subject, plethysmographic signal data is acquired from the subject and a first measurement signal is derived, which is indicative of a predetemined feature of the respiration modulation appearing in the said signal data. An index signal is then formed based on the first measurement signal and the index signal is employed as an index indicative of the clinical stress of the subject.

Claims

1. A method for determining clinical stress of a subject, the method comprising the steps of:

positioning a probe of a pulse oximeter on the subject;

acquiring plethysmographic signal data from the pulse oximeter associated with a subject;

deriving a first measurement signal in a control and processing unit, the first measurement signal being indicative of a predetermined feature of respiration modulation appearing in the plethysmographic signal data, wherein the deriving step includes deriving the first measurement signal indicative of the predetermined feature, in which the predetermined feature is the respiration rate;

forming an index signal in the control and processing unit based on the first measurement signal, wherein the forming step includes a sub-step of generating a second measurement signal indicative of variability in the first measurement signal; and

employing the index signal as an index indicative of the clinical stress of the subject.

2. A method according to claim 1, wherein the forming step further includes applying a second normalization transform to the second measurement signal, the second normalization transform being dependent on predetermined second history data, whereby a second normalized measurement signal having a predetermined value range is obtained, the second normalized measurement signal being the index signal.

3. A method according to claim 1, wherein the forming step includes forming the index signal, in which the index signal is indicative of a change in the second measurement signal.

4. A method according to claim 1, wherein the forming step further includes a sub-step of calculating a weighted average of the first measurement signal and the second measurement signal, the weighted average forming the index signal.

5. A method according to claim 1, further comprising the steps of:

applying a first normalization transform to the first measurement signal, the first normalization transform being dependent on predetermined first history data, whereby a first normalized measurement signal having a predetermined value range is obtained; and

applying a second normalization transform to the second measurement signal, the second normalization transform being dependent on predetermined second history data, whereby a second normalized measurement signal having a predetermined value range is obtained.

6. A method according to claim 5, wherein the forming step further comprises a sub-step of calculating a weighted average of the first normalized measurement signal and the second normalized measurement signal, the weighted averave forming the index signal.

7. A method according to claim 1, further comprising a step of producing at least one further measurement signal from the plethysmographic signal data, wherein the at least one further measurement signal belongs to a group of signals including a first signal indicative of respiration amplitude, a second signal indicative of variability in the respiration amplitude, a third signal indicative of pulse amplitude in the plethysmographic signal data, a fourth signal indicative of pulse-to-pulse interval in the plethysmographic signal data, and a fifth signal indicative of variability in one of the third and fourth signals.

8. A method according to claim 7, wherein the forming step includes calculating a weighted average of the first measurement signal, the second measurement signal, and the at least one further measurement signal, the weighted averave forming the index signal.

9. A method according to claim 7, further comprising the steps of:

applying a first normalization transform to the first measurement signal, the first normalization transform being dependent on predetermined first history data, whereby a first normalized measurement signal having a predetermined value range is obtained;

applying a second normalization transform to the second measurement signal, the second normalization transform being dependent on predetermined second history data, whereby a second normalized measurement signal having a predetermined value range is obtained; and

applying a dedicated normalization transform to each of the at least one further measurement signal, each dedicated normalization transform being dependent on predetermined history data specific to the dedicated normalization transform concerned, whereby at least one further normalized measurement signal having a predetermined value range is obtained.

10. A method according to claim 9, wherein the forming step includes calculating a weighted average of the first normalized measurement signal, the second normalized measurement signal, and the at least one further normalized measurement signal, the weighted averave forming the index signal.

11. A method according to claim 7, wherein the acquiring step includes measuring the plethysmographic signal data from an ear and from a finger of the subject, whereby the plethysmographic signal data comprises ear originated signal data and finger originated signal data.

12. A method according to claim 11, further comprising the steps of:

comparing the ear originated signal data with the finger originated signal data; and

selecting whether the ear originated signal data or the finger originated signal data is to be employed for the first measurement signal and whether the ear originated signal data or the finger originated signal data is to be employed for at least one of the third, fourth, and fifth signals.

13. A method according to claim 11, further comprising a step of determining a transit time difference indicative of the time difference between corresponding signal peaks in the ear originated signal data and in the finger originated signal data.

14. A method according to claim 1, further comprising a step of controlling administration of at least one drug to the subject, wherein the controlling step is performed based on the index signal and the at least one drug is selected from a group of drugs including at least one analgesic drug and at least one sedative drug.

15. A method according to claim 1, further comprising a step of producing at least one further measurement signal from the plethysmographic signal data, wherein the at least one further measurement signal belongs to a group of signals including a first signal indicative of respiration amplitude, a second signal indicative of variability in the respiration amplitude, a third signal indicative of pulse amplitude in the plethysmographic signal data, a fourth signal indicative of pulse-to-pulse interval in the plethysmographic signal data, and a fifth signal indicative of variability in one of the third and fourth signals.

16. A method according to claim 15, wherein the acquiring step includes measuring the plethysmographic signal data from an ear and from a finger of the subject, whereby the plethysmographic signal data comprises ear originated signal data and finger originated signal data.

17. A method according to claim 16, further comprising the steps of:

comparing the ear originated signal data with the finger originated signal data; and

selecting whether the ear originated signal data or the finger originated signal data is to be employed for the first measurement signal and whether the ear originated signal data or the finger originated signal data is to be employed for at least one of the third, fourth, and fifth signals.

18. A method according to claim 16, further comprising a step of determining a transit time difference indicative of the time difference between corresponding signal peaks in the ear originated signal data and in the finger originated signal data.

19. A method for determining clinical stress of a subject, the method comprising the steps of:

positioning a probe of a pulse oximeter on the subject;

acquiring plethysmographic signal data from the pulse oximeter associated with a subject;

deriving a first measurement signal in a control and processing unit, the first measurement signal being indicative of a predetermined feature of respiration modulation appearing in the plethysmographic signal data;

producing at least one further measurement signal in the control and processing unit from the plethysmographic signal data, wherein the at least one further measurement signal belongs to a group of signals including a first signal indicative of respiration amplitude, a second signal indicative of variability in the respiration amplitude, a third signal indicative of pulse amplitude in the plethysmographic signal data, a fourth signal indicative of pulse-to-pulse interval in the plethysmographic signal data, and a fifth signal indicative of variability in one of the third and fourth signals;

forming an index signal in the control and processing unit based on the first measurement signal; and

employing the index signal as an index indicative of the clinical stress of the subject.