Reconfigurable biosignal processing architecture

• US 10,265,517 B2
• Filed: 06/28/2018
• Issued: 04/23/2019
• Est. Priority Date: 06/30/2017
• Status: Active Grant

• Current Assignee: Hi LLC (Cybin, Inc.)
• Original Assignee: Hi LLC (Cybin, Inc.)
• Inventors: Lara, Antonio H., Sandler, Roman, Robinson, Brian S., Anderson, Kristopher, Wentz, Christian, Koene, Randal, Stanton, John W., Peterson, Erik J.
• Primary Examiner(s): Wehrheim, Lindsey G
• Application Number:
  US16/022,541
• Publication Number:
  US 20190001121A1
• Time in Patent Office: 299 Days
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/374 Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61N 1/0531 Brain cortex electrodes
• CPC Class Codes: A61N 1/0534 Electrodes for deep brain stimulation
• CPC Class Codes: A61N 1/36064 Epilepsy
• CPC Class Codes: A61N 1/36067 Movement disorders, e.g. tremor or Parkinson disease stimulating motor muscle A61N1/36003
• CPC Class Codes: A61N 1/36082 Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease
• CPC Class Codes: A61N 1/37252 Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data
• CPC Class Codes: A61N 1/3787 from an external energy source

Abstract

Devices, systems, and methods herein relate to processing biosignal data. These systems and methods may obtain sensor data from a plurality of electrodes and may also be used to augment cortical function, treat neurological disease, and provide insight and analysis of biological processes and/or clinical therapeutic outcomes. An implantable biosignal processing system may comprise a lead having at least one biosignal sensor configured to transmit biosignal data based on electrophysiological activity of a subject. A first processing system may be coupled to the biosignal sensor and comprise a plurality of analog signal processing circuits configured to be selectively powered based on a selectable treatment mode. A second processing system in communication with the first processing system and may comprise a plurality of digital signal processing circuits configured to be selectively powered based on the treatment mode. A neurostimulator may stimulate tissue according to the set of biosignal characteristics.

Claims

1. An implantable biosignal processing system comprising:

a first processing system comprising an analog signal processor having a plurality of analog signal processing circuits, wherein the first processing system is configured to connect to a lead comprising one or more biosignal sensors for acquiring and processing electrophysiological data of a brain region of a subject; and

a second processing system in communication with the first processing system, the second processing system comprising a digital signal processor having a power management circuit and a plurality of digital signal processing circuits in communication with the power management circuit, wherein the power management circuit selectively activates and/or deactivates digital signal processing circuits according to a treatment mode of the second processing system to generate a set of electrophysiological data characteristics, and

wherein each digital signal processing circuit has a data and clock controller configured to adjust a clock signal of the digital signal processing circuit based on at least one characteristic of the set of electrophysiological data characteristics.

2. The system of claim 1, wherein activating a digital signal processing circuit of the plurality of digital signal processing circuits comprises powering on the digital signal processing circuit;

and deactivating the digital signal processing circuit comprises powering off the digital signal processing circuit.

3. The system of claim 1, wherein the first processing system further comprises a signal processing controller that selectively activates and/or deactivates the plurality of analog signal processing circuits according to the treatment mode.

4. The system of claim 1, wherein the data and clock controller is configured to activate the digital signal processing circuit in a parallel processing configuration if a data volume of the electrophysiological data meets or exceeds a predetermined data volume threshold and to activate the digital signal processing circuit in a serial processing configuration if the data volume is below the predetermined data volume threshold.

5. The system of claim 4, wherein the second processing system has a first clock signal having a first clock rate and each of the plurality of digital signal processing circuits has a second clock signal having a second clock rate generated by the data and clock controller, and wherein when the digital signal processing circuit is in a parallel processing configuration, the second clock rate is less than the first clock rate, and wherein when the digital signal processing circuit is in a serial processing configuration, the second clock rate is the same as the first clock rate.

6. The system of claim 1, wherein the set of electrophysiological data characteristics comprises a characteristic selected from the group consisting of:

phase, amplitude, or frequency.

7. The system of claim 1, wherein the set of electrophysiological data characteristics comprises a phase or amplitude of electrophysiological data in a beta band (12.5 Hz 30 Hz) frequency range.

8. The system of claim 1, wherein the set of electrophysiological data characteristics comprises a phase or amplitude of electrophysiological data in a gamma band (30 Hz 100 Hz) frequency range.

9. The system of claim 1, wherein the set of electrophysiological data characteristics comprises action potential count and/or timing and/or amplitude.

10. The system of claim 1, wherein the treatment mode is selected from a group consisting of:

neurological disease treatment mode, neurological function augmentation mode, or neural circuitry analysis mode.

11. The system of claim 1, wherein the treatment mode is a Parkinson'"'"'s Disease treatment mode.

12. The system of claim 1, wherein the treatment mode is an epileptic seizure prevention mode.

13. The system of claim 1, further comprising a neurostimulator in communication with the second processing system and configured to stimulate the brain region of the subject, wherein the second processing system is configured to generate a neurostimulator control signal based on the set of electrophysiological characteristics.

14. The system of claim 13, wherein the lead is a first lead and the system further comprises a second lead comprising one or more biosignal sensors, and a third processing system that is in communication with the second processing system, wherein the third processing system has a second plurality of analog signal processing circuits and is configured to connect to the second lead for acquiring and processing electrophysiological data of a brain region.

15. The system of claim 14, wherein the second processing system is configured to aggregate and process electrophysiological data from the first processing system and the third processing system according to the treatment mode.

16. The system of claim 15, wherein the second processing system is configured to aggregate and process electrophysiological data from the first processing system and the third processing system simultaneously.

17. The system of claim 14, wherein the treatment mode is a first treatment mode and the neurostimulator control signal is a first neurostimulator control signal, and the second processing system is configured to process electrophysiological data from the first processing system according to the first treatment mode to generate the first neurostimulator control signal, and is further configured to process electrophysiological data from the third processing system according to a second treatment mode to generate a second neurostimulator control signal.

18. An implantable biosignal processing system, comprising:

a lead comprising at least one biosignal sensor configured to be coupled to a subject to sense and transmit biosignal data representing electrophysiological activity of the subject;

a first processing system in communication with the lead and configured to acquire the biosignal data from the lead, the first processing system comprising an analog signal processor that has a plurality of analog signal processing circuits configured to be selectively powered to perform different sets of analog processing functions according to a treatment mode; and

a second processing system in communication with the first processing system, the second processing system comprising a digital signal processor and a power management circuit in communication with the digital signal processor, wherein;

the digital signal processor comprises a plurality of digital signal processing circuits configured to be selectively powered by the power management circuit in accordance with the treatment mode to perform different sets of digital processing functions, and each digital signal processing circuit has an independent data and clock controller configured to adjust a clock rate of the digital signal processing circuit based on a biosignal data volume and the treatment mode, and

wherein the powered analog and digital signal processing circuits are configured to serially process the biosignal data to generate a set of biosignal characteristics; and

a neurostimulator in communication with the second processing system and configured to stimulate a predetermined region of tissue using the set of biosignal characteristics.

19. The system of claim 18, wherein the second processing system has a clock generator that generates a system clock signal having a system clock rate, and wherein the clock rate of an individual digital signal processing circuit is different from the system clock rate.

20. The system of claim 18, further comprising a third processing system in communication with the first processing system, the second processing system, and the neurostimulator, wherein the first processing system is configured to transmit the set of biosignal characteristics to the third processing system, and the third processing system is configured to activate the neurostimulator based on the set of biosignal characteristics.

21. The system of claim 18, wherein the biosignal characteristics comprise one or more waveform parameters.

22. The system of claim 18, wherein the first processing system is configured to serially sample a plurality of biosignal sensors of the lead.

23. The system of claim 18, wherein the second processing system is configured to validate the biosignal data from the first processing system using one or more filters.

24. The system of claim 18, wherein the lead is a first lead and the at least one biosignal sensor is a first set of biosignal sensors and the first processing system is a first instance of the first processing system, and wherein the system further comprises a second lead comprising a second set of biosignal sensors and a second instance of the first processing system in communication with the second lead, and wherein the second processing system is communication with the second instance of the first processing system.

25. The system of claim 24, wherein each of first and second instances of the first processing system is configured to process biosignal data acquired from the first and second leads respectively based on different treatment modes, and the second processing system is configured to receive the processed biosignal data and/or biosignal characteristics from the first and second instances of the first processing system simultaneously.

26. The system of claim 24, wherein the second processing system is configured to receive, aggregate, and process the biosignal data from the first and second instances of the first processing system.

27. A method of processing biosignal data, comprising:

selecting at least one treatment mode from a plurality of treatment modes, wherein each treatment mode corresponds to a different set of signal processing parameters and circuit processing sequences;

powering a set of analog signal processing circuits of a first processing system to perform different analog processing functions based on the treatment mode and powering a set of digital signal processing circuits of a second processing system to perform different digital processing functions and processing sequences according to the selected treatment mode;

acquiring biosignal data from a lead comprising at least one biosignal sensor;

transmitting the acquired biosignal data to the first processing system;

processing the biosignal data using the powered analog signal processing circuits;

transmitting the processed biosignal data to the second processing system;

adjusting clock rates for each of the powered digital signal processing circuits according to the selected treatment mode;

generating a set of biosignal characteristics based on the processed biosignal data using the powered digital signal processing circuits; and

transmitting the set of biosignal characteristics to a neurostimulator for use by the neurostimulator in determining waveform parameters for stimulating one or more regions of tissue.

28. The method of claim 27, wherein the treatment modes are configured to power different sets of analog signal processing circuits and digital signal processing circuits.

29. The method of claim 27, further comprising generating a neurostimulator control signal based on the set of biosignal characteristics, and activating the neurostimulator according to the neurostimulator control signal.

30. The method of claim 27, wherein signal processing parameters, circuit processing sequences, and data output size of the digital signal processing circuits are determined based the selected treatment mode.