System and method for predicting an excitation pattern of a deep brain stimulation

1. An apparatus for predicting an excitation pattern of a deep brain stimulation (DBS) from monitored bioelectrical signals, the apparatus comprising:

a housing having a signal input and a signal output; and

an electrical circuit disposed within the housing and electrically coupled between the signal input and the signal output, the electrical circuit configured to:

receive bioelectrical signals corresponding to an excitation signal transmitted by a pulse generator during a DBS;

convert the bioelectrical signals into digital logic pulses;

predict a future timing pattern of the excitation signal from the digital logic pulses; and

generate an output from the future timing pattern, the output comprising a log of time stamps predictive of future active transmission periods of neurological excitation.

2. The apparatus of claim 1 further comprising a memory having the log of time stamps stored thereon.

3. The apparatus of claim 1 further comprising a clock configured to record timing of the digital logic pulses.

4. The apparatus of claim 1 wherein each time stamp of the log of time stamps comprises a predicted start time of a future active transmission period of neurological excitation.

5. The apparatus of claim 4 wherein each time stamp further comprises a predicted duration of the future active transmission period of neurological excitation.

6. The apparatus of claim 1 wherein the electrical circuit comprises a processor programmed to:

analyze digital logic pulses acquired during a plurality of active portions of a cyclic excitation pattern;

emulate a DBS waveform corresponding to the cyclic excitation pattern from the analyzed digital logic pulses; and

predict the future timing pattern of the excitation signal from the emulated DBS waveform.

7. The apparatus of claim 6 wherein the processor is further programmed to:

determine an average duration of the plurality of active portions of the cyclic excitation pattern; and

define the emulated DBS waveform having a plurality of timing pulses, each timing pulse having a pulse width that approximates the average duration of the plurality of active portions of the cyclic excitation pattern.

8. The apparatus of claim 1 wherein the electrical circuit comprises:

a filter that removes a heart signal from the bioelectrical signals;

a comparator circuit that converts the bioelectrical signals into digital logic pulses; and

a pulse stretcher that correlates the digital logic pulses with corresponding excitation signals generated during the DBS.

9. The apparatus of claim 1 further comprising a sensor system having an output coupled to the sensor input of the housing, the sensor system configured to detect bioelectrical signals generated in a patient during the DBS.

10. A method for predicting an excitation pattern of a deep brain stimulation (DBS) from monitored bioelectrical signals, the method comprising:

obtaining bioelectrical signals generated from excitation signals transmitted by a pulse generator during a DBS;

transforming the bioelectrical signals into digital logic pulses;

predicting a future timing pattern of the excitation signals from the digital logic pulses; and

generating a series of DBS time stamps based on the future timing pattern, each time stamp corresponding to a predicted active period of neurological excitation.

11. The method of claim 10 further comprising:

identifying a series of interleaved active periods and non-active periods of neurological excitation from the digital logic pulses, each active period comprising a plurality of digital logic pulses;

calculating an average duration of the active periods; and

predicting the future timing pattern of the excitation signals based on the calculated average duration.

12. The method of claim 10 further comprising defining each time stamp of the series of DBS time stamps to correspond with a start time of a predicted active period of neurological excitation.

13. The method of claim 10 further comprising filtering the bioelectrical signals with a high pass filter.

14. The method of claim 10 further comprising:

accessing a plurality of medical images acquired during the DBS;

correlating time stamps of the plurality of medical images to the series of DBS time stamps; and

binning the plurality of medical images based on the correlation.

15. The method of claim 14 further comprising binning the plurality of medical images into a first subset of medical images acquired during active periods of neurological excitation and a second subset of medical images acquired during non-active periods of neurological excitation.

16. A system for analyzing medical data acquired during a deep brain stimulation (DBS), the system comprising:

a sensor system configured to receive biological signals during a DBS, the biological signals corresponding to excitation signals transmitted by a DBS pulse generator;

a deep brain stimulation (DBS) waveform emulator coupled to an output of the sensor system, the DBS waveform emulator comprising an electrical circuit configured to:

convert the biological signals into a series of digital logic pulses;

predict a future pattern of the excitation signals from the series of digital logic pulses; and

generate a DBS time stamp log corresponding to the predicted future pattern of excitation signals; and

a processor programmed to:

access medical data acquired during the DBS;

correlate time stamps of the medical data to the DBS time stamp log; and

identify medical data acquired during active periods of neurological excitation based on the correlation.

17. The system of claim 16 wherein the electrical circuit comprises a processor programmed to detect a cyclic pattern of active periods and non-active periods of the DBS from the series of digital logic pulses.

18. The system of claim 17 wherein the processor is further programmed to:

calculate an average duration of the active periods of the DBS from the series of digital logic pulses, each active period comprising a plurality of digital logic pulses;

utilize the calculated average duration of the active periods of the DBS to generate a DBS waveform that emulates the cyclic pattern; and

predict the future pattern of excitation signals based on the DBS waveform.

19. The system of claim 17 further comprising a clock; and

wherein the processor is further programmed to:

record timing of the active periods and non-active periods of the DBS based on a reference time output by the clock; and

synchronize the DBS time stamp log with the reference time output of the clock.

20. The system of claim 16 wherein the sensor system comprises a plurality of EKG electrodes.