Method and system for managing physiological system

• US 20070265508A1
• Filed: 03/15/2007
• Published: 11/15/2007
• Est. Priority Date: 09/15/2004
• Status: Active Grant

• Current Assignee: K/S HIMPP
• Original Assignee: EMMA Mixed Signal CV
• Inventors: Rice, Michael, Brennan, Robert, Sheikhzadeh-Nadjar, Hamid
• Granted Patent: US 8,137,269 B2
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G10L 21/0208 Noise filtering
• CPC Class Codes: G10L 25/00 Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 muting semiconductor-based amplifiers when some special characteristics of a signal are sensed by a speech detector, e.g. sensing when no signal is present, H03G3/34
• CPC Class Codes: H03H 2021/0041 Subband decomposition
• CPC Class Codes: H03H 21/0012 Digital adaptive filters

Abstract

A method and system for managing physiological systems is provided. The physiological system management (PSM) system includes one or more signal acquisition blocks to collect physiological information. The PSM system includes oversampled filterbanks for transferring one or more input signal related to the physiological information into subband signals, and a subband processing scheme for processing the outputs from the oversampled filterbanks for event detection in one or more physiological systems. The PSM system includes an adaptive controller which decides on the proper control measure and delivers the measure to the one or more physiological systems.

Claims

1. A system for implementing physiological system management (PSM) comprising:

one or more signal acquisition modules for collecting physiological information from one or more physiological systems to provide one or more input signals;

a plurality of Weighted Overlap-Add (WOLA) analysis filterbanks for decomposing the one or more input signals, each converted into K (possibly complex-valued) subband signals;

a subband processing module for processing the subband signals in subband domain, including;

a detection module for detecting one or more events occurring in the one or more physiological systems based on the subband signals, and

a decision making module for make a decision on a control measure based on the subband signals, and

a controller for applying the control measure to the one or more physiological systems.

2. The system according to claim 1, further comprising:

a time-domain processing module for processing the one or more input signals, wherein the output of the time-domain processing module may be combined with the subband processing module for generating the control measure.

3. The system according to claim 1, further comprising one or more WOLA synthesis filterbanks for converting one or more of the processed subband signals or a combination of the processed subband signals, into one or more time-domain signals.

4. The system according to claim 1, wherein the subband processing module includes:

a feature extraction module for extracting one or more features of the physiological information from the subband signals, the event detection block detecting the one or more events based on the extracted one or more features.

5. The system according to claim 4, further comprising a module for compression and storage and transmission of the input signals and the output signals from the system, the detected one or more features and the detected one or more events, and being capable of telemetry for monitoring the system performance.

6. The system according to claim 1, further comprising a receiving module for receiving data and command from outside of the system.

7. The system according to claim 4, wherein the subband processing module includes:

a signal enhancement module for removing noise or interference and enhancing the one or more features.

8. The system according to claim 4, wherein the PSM is cardiac rhythm management (CRM) where the feature extraction includes calculation of a multiplicity of subband energies, obtained through the following steps:

calculating absolute values or squared absolute values of each subband signal, and

combining calculated values for subbands in each designated subband group, each group including one or more subbands, to obtain subband energy.

9. The system according to claim 8, wherein the subband energies are further processed for detecting one or more peaks by tracking average and maximum values of the corresponding subband energy through time-averaging.

10. The system according to claim 9, wherein the detected peaks are represented in a binary format containing “

0”

, “

1”

or a combination thereof for each subband group, the “

0”

representing one of peak and no-peak, and the “

1”

representing the other, the binary decisions being combined by a combiner.

11. The system according to claim 10, wherein the combiner includes logical AND, logical OR operations, or combinations thereof.

12. The system according to claim 8, further comprising a module for processing the subband energies and detecting one or more peaks by periodicity tracking using autocorrelation of one or more subband groups, an estimation of the autocorrelation, cross-correlation of multiple subband groups, an estimation of the cross-correlation, or combinations thereof.

13. The system according to claim 7, where the physiological system includes an autonomous nervous system where the acquisition module senses heart rate variability or other physiological information in the an autonomous nervous system.

14. The system according to claim 7, where the PSM includes an automatic drug delivery (ADD).

15. The system according to claim 7, where the PSM includes a cardiac rhythm management (CDM) and ADD applications.

16. The system according to claim 7, where the physiological system includes a brain and nervous system for controlling one or more neurological diseases.

17. The system according to claim 16, wherein the neurological disease includes epilepsy, seizure, or a combination thereof.

18. The system according to claim 7, where the PSM is applied to control a neuromuscular system.

19. The system according to claim 7, where the PSM is applied to a heart system, a brain system, an autonomous system, or combinations thereof.

20. The system according to claim 1, wherein the controller operates in a closed-loop, the controller monitoring the one or more physiological systems and adapting the control measure accordingly.

21. The method of implementing physiological system management (PSM), comprising:

collecting physiological information from one or more physiological systems to provide one or more input signals;

decomposing the one or more input signals, each converted into K (possibly complex-valued) subband signals;

detecting one or more events occurring in the one or more physiological systems based on the subband signals;

making a decision on a control measure based on the subband signals; and

applying the control measure to the one or more physiological systems.

22. The method according to claim 21, further comprising the step of:

monitoring the physiological information and repeating the decomposing, detecting, decision-making and applying steps.

23. The method according to claim 22, wherein the decision-making step includes the step of:

adapting a control strategy based on evaluation of the applied control measure.

24. The method according to claim 21, further comprising the step of:

extracting one or more features of the physiological information in the subband domain, the event detection steps detecting the one or more events based on the extracted one or more features.

25. The method according to claim 24, further comprising the step of:

removing noise or interference and enhancing the one or more features in the subband domain.

26. The method according to claim 21, further comprising the step of:

receiving one or more data to control the collecting step, the decomposing step, the detecting step, the decision-making step, the applying step, or combinations thereof.

27. A computer readable medium having recorded thereof statements and instructions for executing by a computer to carry out the method of claim 21.

28. A carrier wave embodying a computer data signal representing sequences of statements and instructions for executing the method of claim 21.