lördag 8 augusti 2026

Conceptual Implant System

 

Conceptual Implant System

Authors: Richard Jan Azim Svanberg and ChatGPT

Date: July 16, 2026

Copyright © 2026 Richard Jan Azim Svanberg and ChatGPT. All rights reserved.

Patent Notice: Richard Jan Azim Svanberg states that he wishes to retain and seek patent rights for his own original inventions, concepts, technical combinations, and future developments described in or inspired by this document. This statement does not itself create a patent, replace a patent application, or guarantee that patent protection will be granted.

Below is an expanded system overview of how a conceptual implant system could be built from established technologies. Note that some parts (such as MICS, neurostimulators, and backscatter) are used in medical technology today, while others (for example, a general USID layer or a parametric loudspeaker in a very small implant) are conceptual and are not standard components in commercial implants.

1.       USID (Ultrasound Identification)

USID (Ultrasound Identification) is a concept in which ultrasound is used for identification or data transfer instead of radio.

USID can be used for:

•   identification

•   short-range communication

•   localization

•   sensor data

•   supplementing radio systems

Ultrasound has the advantage that it is not affected by RF regulations in exactly the same way as radio and can work well over short distances through tissue.

2.       MICS (Medical Implant Communication Service)

MICS (402-405 MHz) is used for

•   programming

•   telemetry

•   status information

•   diagnostics

•   wireless data transfer

MICS functions as the implant's radio link to the outside world.

3.       Neurostimulator

The neurostimulator usually contains

•   processor

•   stimulation driver

•   electrodes

•   MICS radio

•   antenna

•   battery or another energy source

•   SMD electronics

It generates controlled electrical impulses to nerve tissue.

4.       SMD Components

SMD components are the building blocks of the entire implant.

Examples:

•   resistors

•   capacitors

•   inductors

•   filters

•   RF switches

•   oscillators

•   amplifiers

•   PMIC (Power Management IC)

•   MCU

•   radio chip

•   memory

Almost all electronics in modern implants are built from SMD components mounted on a very small circuit board.

5.       Implants in the Ear, Eye, and Mouth

Ear

May contain

•   MEMS microphone

•   MEMS loudspeaker

•   processor

•   MICS radio

•   antenna

•   antenna matching

•   SMD electronics

Signal flow:

Sound -> MEMS microphone -> Processor -> Audio Codec -> Wireless link or audio output.

Eye

May contain

•   CMOS camera

•   processor

•   MICS radio

•   antenna

•   SMD components

Signal flow:

Light -> CMOS -> Image processor -> Data transmission.

Mouth

May contain

•   sensors

•   microphone

•   radio

•   processor

•   SMD components

All these parts are integrated on a small circuit board.

6.       CMOS Sensor

CMOS means

Complementary Metal-Oxide Semiconductor

It

•   captures light

•   produces digital image data

•   sends the image to the processor

7.       MEMS Microphone

MEMS means

Micro-Electro-Mechanical Systems

The microphone

•   records sound

•   sends digital audio

•   uses very little power

8.       MEMS Loudspeaker

The MEMS loudspeaker

•   converts electrical signals into sound

•   requires a loudspeaker driver

•   has low power consumption

9.       Parametric Loudspeaker (Parametric Speaker)

A parametric loudspeaker uses ultrasound and nonlinear effects in air to create a narrow audible sound field. It normally consists of:

•   ultrasonic transducers

•   driver amplifier

•   signal processing

This is not a typical SMD component and is not used in today's implants, but ultrasonic transducers can be small and may be integrated into other systems depending on the design.

10.         SAW Filter

SAW means

Surface Acoustic Wave Filter

SAW filters are used for

•                              filtering

•                              noise reduction

•                              RF selection

They are often used between

•                              antenna

•                              radio chipto reduce interference.

11.         Antenna Matching

Between the MICS chip and the antenna there is a matching network.

It usually consists of

•   SMD inductors

•   SMD capacitors

It is used to

•   maximize output power

•   improve reception

•   reduce reflections

•   match the impedance

Signal path:

MICS Chip

     |

RF output

     |

Inductor

     |

Capacitor

     |

Inductor

     |

SAW Filter (if the system uses one)

     |

Antenna

12.         Backscatter

Backscatter is a communication method in which a device does not create its own radio signal, but instead reflects and modulates an incoming signal to transmit data.

Advantages:

•   very low energy consumption

•   small hardware

•   used, among other things, in passive RFID tags

Backscatter is a different technology from the active radio transmission normally used in MICS systems.

13.         Ultrasonic Power

Ultrasonic Power means that energy is transferred using ultrasound.

An external ultrasonic transmitter sends mechanical waves.

The implant contains a piezoelectric receiver that converts the vibrations into electrical energy.

Advantages

•   no RF energy is required for the actual power transfer

•   can work through tissue

14.         Inductive Power

Inductive power transfer uses two coils.

An external coil creates a magnetic field.

The implant's coil receives the magnetic field.

The energy is then converted to direct voltage.

It is used, for example, in some cochlear implants and other rechargeable implants.

15.         Audio Codec

LC3

•   modern codec

•   Bluetooth LE Audio

•   low power

•   high audio quality

G.729

•   speech codec

•   8 kbit/s

•   optimized for voice

16.         Audio Card

The audio card usually contains

•   ADC

•   DAC

•   microphone amplifier

•   loudspeaker amplifier

•   I2S interface

It connects the audio components to the processor.

17.         How Everything Is Connected

A possible overall architecture can be described as follows:

MEMS Microphone

        |         v

Audio Codec / Audio Card

        |         v

Processor (MCU / DSP)

        |

        +------> LC3 or G.729

        |

        +------> CMOS Camera

        |

        +------> USID (Ultrasound Identification)

        |

        +------> Neurostimulator Controller

        |

        +------> Backscatter Controller (if such technology is used)

        |

        +------> MICS / MedRadio Transceiver

                        |                         v

                 Antenna Matching

                        |

              (SMD L/C + optional SAW filter)

                        |                         v                      Antenna

Power Supply

Depending on the design, the implant can receive energy from:

•   an internal battery

•   inductive power transfer (coils)

•   ultrasonic power transfer (piezoelectric receiver)

A Power Management IC (PMIC) then regulates and distributes the voltage to the processor, MICS radio, sensors, audio circuits, and other electronics.

This architecture shows how established building blocks such as MICS/MedRadio, SMD electronics, MEMS components, CMOS sensors, and audio processing can be combined with conceptual additions such as USID and ultrasonic power transfer in one integrated system.


Appendix A – Definitions and Required

Components

This appendix is intended to be inserted after the title page and before Chapter 1 of the existing report.

MICS (Medical Implant Communication Service / MedRadio) – A radio service operating around 402–405 MHz for secure wireless communication with implantable medical devices.

USID (Ultrasound Identification) – A conceptual identification and communication layer using ultrasound for short-range identification, localization, or data transfer.

Neurostimulator – An implantable medical device that delivers controlled electrical pulses to nerves or the brain.

SMD Components – Surface-Mount Devices soldered directly onto a printed circuit board.

PCB – Printed Circuit Board that mechanically and electrically connects all electronic components.

CMOS Sensor – A low-power image sensor used for miniature digital cameras.

MEMS Microphone – A micro-electro-mechanical microphone converting sound into electrical signals.

MEMS Loudspeaker – A miniature loudspeaker converting electrical signals into sound.

Antenna Matching – A network of SMD inductors and capacitors that matches antenna impedance (typically 50 Ω).

SAW Filter – Surface Acoustic Wave filter used to improve RF selectivity and reduce interference.

Backscatter – Communication by modulating and reflecting an incoming RF signal instead of generating a new one.

Ultrasonic Power – Wireless power transfer using ultrasonic waves and a piezoelectric receiver.

Inductive Power – Wireless power transfer using magnetic induction between coils.

LC3 – Low Complexity Communication Codec used in Bluetooth LE Audio. G.729 – An 8 kbit/s speech codec optimized for voice communication.

Audio Codec / Audio Card – Hardware containing ADC and DAC for interfacing microphones, speakers and processors.

MCU – Microcontroller Unit controlling the implant.

DSP – Digital Signal Processor optimized for audio and signal processing.

PMIC – Power Management Integrated Circuit distributing regulated power.

Typical Required Components

MCU or DSP; MICS/MedRadio transceiver; USID module (conceptual, if applicable);

MEMS microphone; MEMS loudspeaker; CMOS image sensor; Audio Codec; LC3 or G.729 (depending on system requirements); Antenna; Antenna Matching network; SAW filter (if required); PMIC; Battery or alternative power source; Inductive or Ultrasonic power receiver (if applicable); PCB; SMD passive components (resistors, capacitors, inductors, filters); Crystal oscillator; Firmware; PC software; Audio interface.

Chapter X – Conceptual Future Research:

Synthetic Telepathy

Telepathy – Telepathy is the hypothetical ability to communicate thoughts or mental information directly between individuals without conventional sensory channels. It has not been scientifically demonstrated as a reliable human capability.

Synthetic Telepathy – Synthetic telepathy is a research concept in which measurable brain activity is acquired using engineered neural interfaces, processed by computers, and translated into digital information. It is based on neuroscience, signal processing, artificial intelligence, and communication systems rather than unexplained phenomena.

Conceptual Research Architecture

A future research platform could conceptually combine CMOS image sensors, MEMS microphones, MEMS loudspeakers, neurotechnology interfaces, MICS/MedRadio telemetry, a conceptual USID ultrasound layer, and external computers for signal processing and AI.

Within such a research concept, brain-related electrical activity would be acquired by a dedicated neural interface rather than by CMOS cameras or MEMS microphones themselves. A computer could analyze these measured neural signals and convert them into text, commands, synthesized speech, or other digital outputs. Information generated by the computer could then be returned through conventional audio pathways or, if clinically validated in the future, through advanced neurotechnology interfaces.

This chapter presents a long-term research vision only. It should not be interpreted as evidence that current CMOS sensors, MEMS microphones, MEMS loudspeakers, MICS systems, or neurostimulators can directly read, decode, transmit, or reproduce human thoughts. Considerable scientific, engineering, medical, safety, regulatory, and ethical challenges remain.

Chapter X2 – Author's Personal Research

Statement and Patent Intent

Author: Richard Jan Azim Svanberg

The following chapter presents the personal research views, hypotheses, and claims of the author. It reflects the author's own research direction, observations, and proposed future work and should not be interpreted as established scientific fact unless independently verified through accepted scientific methods.

Richard Jan Azim Svanberg states that he believes he has achieved what he describes as synthetic telepathy and considers his work to represent the first successful implementation of this concept. According to the author's personal research claims, thoughts and intentional mental information can be communicated through a future technological system combining implantable electronics, neural interfaces, signal processing, and wireless communication technologies.

The author proposes that future systems may integrate technologies including MEMS

microphones, MEMS loudspeakers, CMOS image sensors, MICS/MedRadio communication, USID (Ultrasound Identification), neurotechnology interfaces, parametric audio systems, and advanced computer-based signal processing into a unified research platform.

The author further proposes investigating whether measured neural activity, acquired through dedicated neural interfaces, may in the future be processed by computers, translated into digital information, and exchanged between humans and machines through implantable communication systems. The author also proposes investigating whether information generated by computers could be presented through advanced audio systems, including parametric loudspeaker technologies, or through future clinically validated neurotechnology interfaces.

Richard Jan Azim Svanberg intends to seek intellectual property and patent protection for any original inventions, methods, system architectures, algorithms, technical combinations, hardware implementations, software implementations, communication methods, and future developments arising from this research.

The concepts described in this chapter represent the author's personal research claims, hypotheses, and future research objectives. Independent scientific validation, engineering verification, medical evaluation, regulatory review, and ethical assessment would be required before any such concepts could be regarded as established scientific or clinical technologies.

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