C-OBNR-S | bioneurotech-x

[C-OBNR-S]: Comp. Organismal BioMedical & Neuro-Robotic Sys.

Arduino

C-OBNR-S: Computational Organismal BioMedical &

Neuro-Robotic Systems [⋆⋆⋆⋆]

Basic Robotics Electronics (Arduino)

Project Fields: xxxxxx

Description: xxxxxx

My Work & Contributions: xxxxxx

Collaborations/Feedback: xxxxxx

Location Activities: Home-based

Status/Timeline: xxxxxx

Other Links to external sources:

--- https://www.elegoo.com/download/

--- https://www.arduino.cc/en/aug/ (Arduino user groups around the world)

--- https://create.arduino.cc/projecthub

--- https://github.com/arduino/Arduino/wiki/Building-Arduino

Other:

--- https://diyhacking.com/arduino-robot-tutorial/

--- https://www.virtualroboticstoolkit.com/features

--- https://www.nasa.gov/centers/johnson/engineering/robotics_simulation/index.html

Electronic and electrical engineering guidelines standards - International Electrotechnical Commission

--- http://www.iec.ch/

Hardware: Intel Quad Core i7 & Celeron Computers; Arduino

Operating Programs & Software Tools: MS Win 10 OS; xxxxxxxxxx

Programming Languages: Arduino

Coding Elements: xxxxxx

Computational Techniques: xxxxxxxxxx

Link to Programming Code Files:

Public (full open access) (Google Drive Cloud and GitHub): https://drive.google.com/drive/folders/0B0qSKFqszohLTTZIZkg1c09xaVU?usp=sharing

Private (shared password-protected) (Google Drive Cloud): XXXXX

File types: txt ino

License: xxxxxx

--- MyBlinkHM.ino (2 KB)

Base Math Coding & Program Computations & System (Diagrammatic):

XXXXXXX

Images:

Content Files by Me, Screenshots by Me

My Arduino Work:

https://goo.gl/photos/BqZqWskD16hQCS5D7

EEG-based Brain-Machine Interfaces

EEG-based DIY Brain-Machine Interfaces (non-invasive) (mobile/portable/wireless) + 3D Augmented/Virtual Reality System

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The idea is that we will be able to record EEG-like signals to then be used as input for artificial machines, for applications in:

--- Neuroscience Research

--- Clinical (eg. motor and cognitive rehabilitation post-stroke; mindset neurofeedback)

--- Clinical/non-clinical (eg. robotic/bionic enhancements - artificial limbs, internet-based augmented reality glasses, etc)

--- Entertainment (virtual reality 3D gaming - control of objects using thoughts)

--- Education

I am currently looking into how to use open-source modules on the following external platforms by private companies and publicly-funded organizations:

--- OpenBCI http://openbci.com/index.php/forum/#/profile/2487/Harry_M

--- OpenVibe http://openvibe.inria.fr/contribute/

--- Emotiv https://www.emotiv.com/developer/
--- NeuroSky http://developer.neurosky.com/
--- InterAxon's Muse http://www.choosemuse.com/developer/

--- Neurable.com - BMI + VR

Since circa. 2012, there has been vast amounts of studies published on the effectiveness of these devices, in entertainment/games, lifestyle apps, education, scientific research, and medical clinical applications. see at https://scholar.google.co.uk/ .

One may also use machine Learning is used to encode and decode each step.

Using tDCS/tACS and TMS technology, nerve stimulation, for applications in:

--- BMI like above, except with sensory input (eg. touch)

I am currently looking into open-source modules on the following external platforms by private companies and public organisations:

https://www.neuropace.com/resources/
https://neuromodec.com/all-neuromodulation-events/

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Working on my home-based DIY BMI systems, by integrating existing hardware, software and data.

Images below:

--- My own gathered equipment, which can be combined with my Arduino systems.

--- Using MS Windows 3D-Builder, CAD-Works, and Blender with Python API, to create 3D-printable models of EEG hardware; as well as for designing functionally efficient structural models.

--- BrainstormEEG software for data analysis (https://neuroimage.usc.edu/brainstorm/Installation) which uses MatLab (https://uk.mathworks.com/products/compiler/matlab-runtime.html) and a lot of the principles from Statistical Parametric Mapping (Friston et al 1995-2018, https://www.fil.ion.ucl.ac.uk/spm/). Indeed Matlab and SPM can also be used for EEG processing.

My aim to do help pioneer DIY EEG devices for a variety of applications.

Recent EEG (practical workshop) (KCL IoPPN, March 2020):

https://docs.google.com/document/d/1tKW4dTrgvx2CRnzqNRIk8-QO5j-Om_q3W9OEJaLnhk8/edit?usp=sharing
https://photos.app.goo.gl/pfEvFQJj2rdDF3hNA

see https://www.bioneurotech.com/c-cogn-s for the VR/AR aspects

CAD for 3D-printed NeuroMed

3D Design (for 3D Printed Neuro-Medical Devices)

Project Fields: xxxxx

Description: xxxxx

My Work & Contributions: (No main work yet)

Collaborations/Feedback: xxxxx

Location Activities: xxxxx

Status/Timeline: xxxxxx

Other Links to external sources:

--- AutoCAD

--- Cochlear Implant

http://www.cochlear.com/wps/wcm/connect/uk/home/understand/hearing-and-hl/hl-treatments/cochlear-implant

Hardware: Intel Quad Core i7 & Celeron Computers; xxxxx

Operating Programs & Software Tools: MS Win 10 OS; xxxxxxxxxx

Programming Languages: xxxxx

Coding Elements: xxxxx

Computational Techniques: xxxxxxxxxx

Link to Programming Code Files:

Public (full open access) (Google Drive Cloud and GitHub): https://drive.google.com/drive/folders/0B0qSKFqszohLTTZIZkg1c09xaVU?usp=sharing

Private (shared password-protected) (Google Drive Cloud): XXXXX

File types: xxxxxx

License: xxxx

Base Math Coding & Program Computations & System (Diagrammatic):

XXXXXX

Images:

Screenshot(s) by Me.

Using Windows 3D Object Builder / Viewer

Edits made from:

https://www.thingiverse.com/thing:361221

http://www.yeggi.com/q/cochlear+implant/?s=tt

My thingiverse.com account TBC.

Build using: Instructables.com/hm

Video Embeds: xxxxxx

#############################################

#### My Current Projects (in progress or post-completion) ####

Arduino (Arduino/Elegoo Hardware)

#### My Future Projects (currently being researched) ####

#### My Future Contributions to External Projects ####

#### External Projects by Others ####

--- Augmented Virtual Reality (4D, 360deg) (see page ‘C-Cogn-S’)

--- 3D simulation modelling in in Electronics, Robotics, and Sensorimotor Integration, Neural Engineering, BioMaterials.

--- 3D CAD models for 3D printing Bionics/BioProsthetics

--- BMI OpenVibe, Brain to Brain communication via BrainWave decoding.

--- Models in Materials Eng, Immunology and Tissue Engineering.

--- OpenCIE

Some other information:

Biological Tissue Engineering / BioMaterials

--- Growing of biological organs (in labs), to regenerate living humans parts. But with functional parts that can be functionally integrated. Also: materials science of self-organizing nano-systems.

Neuro-Engineering and Cybernetics/Robotics

--- Neuro-robotics - humanoid robots with human-level sensorimotor abilities and perception, which can also self-modify

Open-Source Data for Theoretical Foundations; 3D Models and Code Implementation:

http://link.springer.com/journal/volumesAndIssues/422 ("Journal of Biological Cybernetics - Advances in Computational Neuroscience")

ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221036 ("Transactions on Cybernetics & Systemics", "Institute for Electrical/Electronics Engineers")

Current projects at MIT and California Institute of Technology (in physical mechanics representations):

www.cbmm.mit.edu; www.cns.caltech.edu/; www.be.caltech.edu/; www.cms.caltech.edu/research/robotics ;

UK:

cam.ac.uk, kcl.ac.uk, imperial.ac.uk, bham.ac.uk/

Issues to deal with:

--- Higher computational processing power (hardware and software engineering). (might take another 5-10 years, will be done with time)

--- A near-completed field of Neuroscience to be able to integrate artificial components (implanted chips, bio-friendly wires) with the biological

mammalian nervous system. (might take another 20-30+ years; much more complicated to solve, must be intensive invested collaborative effort)

Already, these can be implemented, to some extent at a basic level. The more complicated the wiring, the more time it will take to get there.

One major problem beside potential biological infections: computer viruses affecting privacy and cybersecurity --- as hackers will soon be able to hack biodevices and take control of parts of peoples' nervous systems which are hardwired to computer devices.

3D-Tech: 3D-Modelling --- Virtual Reality --- 3D-Printing

I am also exploring the use of 3D printing:

Applying DML:

Printing 3D models of teeth (e.g. in dentistry - take 3D scans of many peoples' teeth and then pool and generating an 'average' for occlusion model - prostho-orthodontics.), or eye parts, skin grafts, hair, arms, legs, with biological tissue --- also other parts of biomedical engineering and bio-prosthetics and bionics.

This will hopefully be ubiquitous in-home DIY, in about 10 years time --- there is just a need to get the cost down dramatically.

I will soon try to set up a public repository for these types of files - subject to approval from government organisations which regulate these. On the nanoscale, printing artificial neural networks, either molecular computer, biological neural networks, or silicon chips for standard in silico computations.

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3D humanoid >> >> >> [SEE BELOW]

--- Widget to allow 3D rotation, panning and zoom (select extract Hmtl5 for embedding)

https://human.biodigital.com/widget?be=1UNe&bgstd=150,190,231,158,226,201&ui-annotations=true&ui-info=true&ui-help=true&ui-tools=true&uaid=2DVKP

I am currently working on ways to use a web-browser-extension app, using DML, on it --- to integrate it with other sources to label-link each macroscopic sub-structure with the IEEE data-sets.

Images below:

Content manipulated by Me, Screenshots by Me