Nerve activity monitoring

1. A nerve activity monitoring method comprising:

receiving an input signal indicative of detection of electrical activity in a nerve of a subject;

receiving physiological data indicative of physiological activity in the subject;

establishing a relationship between the physiological data and the input signal;

identifying a plurality of periodic portions in the input signal based on the relationship between the physiological data and the input signal; and

outputting the periodic portions identified by averaging the plurality of periodic portions of the input signal together to generate an averaged signal, wherein averaging the plurality of periodic portions comprises:

calculating a frequency spectrum of at least a portion of the input signal;

identifying a demodulation frequency within the frequency spectrum;

demodulating at least two periodic portions of the input signal based on the demodulation frequency, to generate at least two demodulated signal portions; and

averaging the at least two demodulated signal portions, to generate the averaged signal.

2. The method according to claim 1 , wherein

the physiological data is a physiological signal;

establishing a relationship between the physiological data and the input signal comprises determining a period of periodic portions in the physiological signal, to determine a physiological signal period; and

the plurality of periodic portions in the input signal are identified based on the physiological signal period.

3. The method according to claim 2 , further comprising generating electrical signals for an electrode based on correlation of the identified periodic portions of the input signal with the physiological signal.

4. The method according to claim 1 , further comprising auto-correlating the input signal to identify the periodic portions in the input signal.

5. The method according to claim 1 , wherein calculating a frequency spectrum of at least a portion of the first input signal comprises calculating a frequency spectrum of an individual pulse in the input signal.

6. The method according to claim 5 , wherein identifying a demodulation frequency within the frequency spectrum comprises identifying a frequency peak in the frequency spectrum, wherein the demodulation frequency is the frequency peak.

7. The method according to claim 1 , further comprising outputting the identified periodic portions of the input signal to an external device, wherein the external device is at least one of a display device or a storage module.

8. The method according to claim 1 , wherein the input signal is indicative of activity in an autonomic nerve of a subject.

9. A nerve activity monitoring system comprising:

a communication interface arranged to receive an input signal indicative of detection of electrical activity in a nerve of a subject and arranged to receive physiological data indicative of physiological activity in the subject;

a spectrum module arranged to calculate a frequency spectrum of at least a portion of the input signal;

a frequency identification module arranged to identify a demodulation frequency within the frequency spectrum;

a demodulator module arranged to demodulate at least two periodic portions of the input signal based on the demodulation frequency, to generate at least two demodulated signal portions; and

an averaging module arranged to average the at least two demodulated signal portions, to generate an averaged signal; and

an output module arranged to:

establish a relationship between the physiological data and the input signal;

identify a plurality of periodic portions in the input signal based on the relationship between the physiological data and the input signal; and

output the periodic portions identified by averaging the plurality of periodic portions of the input signal together, to generate an averaged output signal.

10. The system according to claim 9 , wherein the physiological data is a physiological signal, and establishing a relationship between the physiological data and the input signal comprises determining a period of periodic portions in the physiological signal, to determine a physiological signal period;

wherein the plurality of periodic portions in the input signal are identified based on the physiological signal period.

11. The system according to claim 9 , wherein identifying a demodulation frequency within the frequency spectrum comprises identifying a frequency peak in the frequency spectrum, wherein the demodulation frequency is the frequency peak.

12. The system according to claim 9 , further comprising a correlation module arrange to correlate the identified periodic portions of the input signal with the physiological signal, wherein the communication interface is arranged to output electrical signals for an electrode based on the correlation of the identified periodic portions of the input signal with the physiological signal.

13. The system according to claim 9 , wherein the identified periodic portions of the input signal are output to an external device, and wherein the external device is at least one of a display device or a storage module.

14. A nerve activity monitoring system comprising:

a communication interface arranged to receive an input signal indicative of detection of electrical activity in a nerve of a subject and arranged to receive physiological signal indicative of physiological activity in the subject;

a frequency identification module arranged to identify a frequency peak by:

correlating the frequency spectrum with the physiological signal; and

identifying a frequency associated with a frequency peak with the highest correlation with the physiological signal; and

an output module arranged to:

establish a relationship between the physiological signal and the input signal by determining a period of periodic portions in the physiological signal, to determine a physiological signal period;

identify a plurality of periodic portions in the input signal based on the relationship between the physiological signal and the input signal, wherein the plurality of periodic portions in the input signal are identified based on the physiological signal period; and

output the periodic portions identified.