Nerve activity monitoring
AssigneesUCL Business PLC, Galvani Bioelectronics Limited
InventorsKirill Aristovich, David Holder, Daniel Chew, Matteo Donega
Life of this patent
Estimating the term…
Abstract
There is provided a nerve activity monitoring method that includes receiving an input signal indicative of 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.
Claims14
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.
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.
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.
Dependencies are inferred from the claim text.