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Redefining Diagnostics with Neuromorphic Computing: The Future of Bioelectric Medicine

Introduction

Imagine the power of human-like intelligence harnessed to diagnose, monitor, and treat neurological conditions in real time. Our distributed neuromorphic computing technology enables just that—ushering in the next generation of bioelectric diagnostics and therapy. This innovation combines high-definition signal processing with distributed computing to transform how medical professionals approach diagnostics and therapeutic interventions.

The Problem

Traditional bioelectric diagnostics and therapy rely on conventional computing systems that can be slow, limited in capacity, and inefficient in processing high-definition bioelectric signals, particularly in real-time applications. This makes it difficult to accurately diagnose complex neurological conditions or provide timely, personalized therapy. The need for faster, more precise data processing in this space is growing, especially as the demand for personalized, real-time health solutions increases.

The Solution

Our patented neuromorphic computing technology revolutionizes this process by mimicking the human brain’s neural architecture. This distributed system processes complex bioelectric signals with unprecedented speed and accuracy. By integrating this advanced neuromorphic computing framework, bioelectric diagnostics can now achieve higher resolution, real-time analysis, and targeted therapeutic interventions, all with unmatched efficiency.

Key Benefits

  1. High-Definition Diagnostics: The technology processes bioelectric signals with incredible precision, allowing for detailed diagnostics of neurological conditions, cardiac disorders, and other bioelectric phenomena. This high-resolution insight ensures that clinicians receive the most accurate data possible.
  2. Real-Time Therapy Adjustments: The system’s ability to process data in real-time means therapeutic interventions can be adjusted instantly based on a patient’s condition. This opens up new possibilities for personalized, adaptive therapies for neurological and other bioelectric-related disorders.
  3. Distributed Computing Efficiency: By distributing the processing load across a network of neuromorphic processors, this system reduces latency, increases computational efficiency, and enables larger, more complex data sets to be processed in real time. It’s an ideal solution for wearable or implantable medical devices, where energy efficiency is critical.

Why License This Technology?

Licensing this neuromorphic computing technology offers companies an unprecedented opportunity to lead the future of bioelectric medicine. Whether you’re focused on diagnostics, therapy, or health monitoring devices, this innovation delivers game-changing capabilities that differentiate your product in the marketplace. With the rising demand for personalized healthcare, this technology positions you to capitalize on the intersection of AI and medical devices.

Conclusion

In the world of bioelectric diagnostics and therapy, real-time precision is key. By licensing this distributed neuromorphic computing technology, you’ll be pioneering a new era of high-definition, personalized healthcare—redefining what’s possible in medical diagnostics and treatment. Lead the charge in revolutionizing healthcare and harness the power of neuromorphic computing today.

Please see terms and conditions
A medical apparatus for an organ has a substrate that conforms to a shape of the organ, and a plurality of processing units connected to the substrate and distributed throughout the substrate. Each of the processing units has a sensor, processing device and actuator. The sensor senses a condition of the organ and provides a sensed signal. The processing device receives the sensed signal from said sensor, analyzes the sensed signal and provides a control signal. The actuator applies an output pulse to the organ in response to the control signal from the processing device.

The invention claimed is:

1. A medical apparatus for an organ or a tissue, comprising:

a flexible or stretchable patch or a sleeve that conforms to a shape of the organ or a tissue, said flexible or stretchable patch or sleeve having a rigid substrate; and
a plurality of computing processing units directly coupled to or embedded in said substrate and distributed throughout said substrate, each of said plurality of processing units having a sensor for sensing a condition of the organ or tissue and providing a sensed signal; each of said plurality of computing processing units including a computing device that receives the sensed electrical signal from said sensor, analyzes the sensed signal, and provides a control signal; and each of said computing processing units further including an actuator for applying an output stimulus to the tissue in response to the control signal from said computing device,
wherein said apparatus comprises an implantable device.
2. The apparatus of claim 1, wherein said sensor and said actuator are directly connected to said computing device.
3. The apparatus of claim 1, wherein said substrate conforms to a shape of the organ or tissue.
4. The apparatus of claim 1, wherein said plurality of computing processing units are non-intrusive in size to the tissue.
5. The apparatus of claim 1, wherein said computing device receives information from an adjacent two or more of said plurality of computing processing units.
6. The apparatus of claim 1, wherein said computing device sends information to adjacent two or more of said plurality of computing processing units.
7. The apparatus of claim 1, wherein said output comprises of a therapeutic stimulus or a therapeutic sequence of stimuli.
8. The apparatus of claim 1, wherein said plurality of computing processing units are embedded in said substrate.
9. The apparatus of claim 1, wherein said sensor, said computing device and said actuator form a closed loop of data processing.
10. The apparatus of claim 1, further comprising interconnections connecting said plurality of computing processing units, and/or connecting the computing device of neighboring ones of said plurality of computing processing units.
11. The apparatus of claim 1, wherein said computing device receives the sensed signal, analyzes the sensed signal, and provides the control signal in real time.
12. The apparatus of claim 1, wherein said actuator applies the output stimulus in real time with respect to the sensor providing the sensed signal.
13. The apparatus of claim 1, wherein said plurality of computing processing units for a distributed network of said plurality of computing processing units.
14. The apparatus of claim 1, said computing device extracting diagnostic-relevant features to determine the control signal.
15. The apparatus of claim 14, said computing device physically implements machine learning or neuromorphic computing algorithms.
16. The apparatus of claim 1, wherein said computing device sends information to adjacent two or more of said plurality of computing processing units.
17. The apparatus of claim 1, wherein said plurality of computing processing units operate in real-time.
18. The apparatus of claim 1, further comprising interconnections connecting the computing device of neighboring ones of said plurality of computing processing units.

19. A medical apparatus for tissue, comprising:

a substrate that is a flexible or stretchable patch or a sleeve that conforms to a shape of the tissue; and
a plurality of computing processing units connected to said substrate and distributed throughout said substrate, each of said plurality of processing units having a sensor for sensing a condition of the tissue and providing a sensed signal; each of said plurality of computing processing units including a computing processing device that receives the sensed electrical signal from said sensor, analyzes the sensed signal and provides a control signal; and each of said computing processing units further including an actuator for applying an output stimulus to the tissue in response to the control signal from said computing device, wherein said computing device comprises a neuromorphic chip or machine learning chip.
20. The apparatus of claim 19, said computing device extracting diagnostic-relevant features to determine the control signal.
21. The apparatus of claim 20, said computing device physically implements machine learning or neuromorphic computing algorithms.
22. The apparatus of claim 19, wherein said substrate is flexible or conforms to a shape of the tissue.
23. The apparatus of claim 19, wherein said computing device receives information from an adjacent two or more of said plurality of computing units.
24. The apparatus of claim 19, wherein said output comprises of a stimulus or a sequence of stimuli.
25. The apparatus of claim 24, wherein said output stimulus or sequence of stimuli comprise a therapeutic stimulus or a therapeutic sequence of stimuli.
26. The apparatus of claim 19, wherein said plurality of computing processing units are embedded in said substrate.
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Title

Distributed neuromorphic computing for high definition bioelectric diagnostics and therapy

Inventor(s)

Gina C. Adam, Igor R. Efimov

Assignee(s)

George Washington University

Patent #

11701002

Patent Date

July 18, 2023

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