scholarly journals Induction of Neural Plasticity Using a Low-Cost Open Source Brain-Computer Interface and a 3D-Printed Wrist Exoskeleton

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 572
Author(s):  
Mads Jochumsen ◽  
Taha Al Muhammadee Janjua ◽  
Juan Carlos Arceo ◽  
Jimmy Lauber ◽  
Emilie Simoneau Buessinger ◽  
...  
Keyword(s):  
Open Source ◽  
Neural Plasticity ◽  
Motor Evoked Potentials ◽  
Low Cost ◽  
True Positive Rate ◽  
Positive Rate ◽  
3D Printed ◽  
Major Factors ◽  
And Control ◽  
Bci System

Brain-computer interfaces (BCIs) have been proven to be useful for stroke rehabilitation, but there are a number of factors that impede the use of this technology in rehabilitation clinics and in home-use, the major factors including the usability and costs of the BCI system. The aims of this study were to develop a cheap 3D-printed wrist exoskeleton that can be controlled by a cheap open source BCI (OpenViBE), and to determine if training with such a setup could induce neural plasticity. Eleven healthy volunteers imagined wrist extensions, which were detected from single-trial electroencephalography (EEG), and in response to this, the wrist exoskeleton replicated the intended movement. Motor-evoked potentials (MEPs) elicited using transcranial magnetic stimulation were measured before, immediately after, and 30 min after BCI training with the exoskeleton. The BCI system had a true positive rate of 86 ± 12% with 1.20 ± 0.57 false detections per minute. Compared to the measurement before the BCI training, the MEPs increased by 35 ± 60% immediately after and 67 ± 60% 30 min after the BCI training. There was no association between the BCI performance and the induction of plasticity. In conclusion, it is possible to detect imaginary movements using an open-source BCI setup and control a cheap 3D-printed exoskeleton that when combined with the BCI can induce neural plasticity. These findings may promote the availability of BCI technology for rehabilitation clinics and home-use. However, the usability must be improved, and further tests are needed with stroke patients.

scholarly journals Systematic Evaluation of Arduino Open Source for Automation and Control of Chemical Processes

2020 ◽  
Vol 10 (2) ◽  
pp. 2258-2271
Keyword(s):  
Open Source ◽  
Chemical Process ◽  
Ph Value ◽  
Low Cost ◽  
Ph Sensor ◽  
Chemical Processes ◽  
Systematic Evaluation ◽  
Feedback Signal ◽  
Automation And Control ◽  
And Control

Inceptions for chemical process automation are presented in this study. A chemical process demonstrated by neutralization reaction was designed, built, and tested experimentally towards evaluating automation and control algorithms through the Arduino Mega platform. The main objective parameter in this work was selected to be the product pH value, which was evaluated based on several scenarios that targeted various changes in direct and indirect effects. Two main branched ideas were investigated in this study; the first was dealt with the application of Arduino board in the automation of chemical process; the second was dedicated to studying integration of Arduino board in controlling the targeted pH parameter in the product side. Upon examining different automation scenarios, an algorithm was developed to approach the product quality of specific pH and temperature efficiently. The automation algorithm was further developed by integrating the process dynamics and control concepts towards speeding up the pH set point's reach. To make this happen, the pump's speed was corrected and tuned based on the feedback signal from the pH sensor. Consequently, the setpoint was reached in shorter periods, attaining considerable savings in time (≈ 35%). Based on the study outcomes, it is believed that Arduino open source is a challenging and promising low-cost platform, proved useful for mimicking control and automation of chemical processes.

Open-source 3D printed sensors for hand strength assessment: Validation of low-cost load cell and fabric sensor-based systems

2018 ◽  
Vol 65 (5) ◽  
pp. 412-419 ◽  
Author(s):  
Claudia R. Cutler ◽  
Anita L. Hamilton ◽  
Emma Hough ◽  
Cheyenne M. Baines ◽  
Ross A. Clark
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Load Cell ◽  
Hand Strength ◽  
Strength Assessment ◽  
Assessment Validation ◽  
Printed Sensors ◽  
3D Printed

Mechatronic Design and Control of a 3D Printed Low Cost Robotic Upper Limb

2018 ◽  
Author(s):  
Duncan Carter-Davies ◽  
Junshen Chen ◽  
Fei Chen ◽  
Miao Li ◽  
Chenguang Yang
Keyword(s):  
Upper Limb ◽  
Low Cost ◽  
Mechatronic Design ◽  
3D Printed ◽  
And Control

Fully 3D printed GPS Antenna using a Low-cost Open-source 3D Printer

2017 ◽  
Author(s):  
A. Elibiary ◽  
W. Oakey ◽  
S. Jun ◽  
B. Sanz-Izquierdo ◽  
D. Bird ◽  
...  
Keyword(s):  
Open Source ◽  
Low Cost ◽  
3D Printer ◽  
3D Printed ◽  
Gps Antenna

scholarly journals Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork

2020 ◽  
Author(s):  
Matthew Wincott ◽  
Andrew Jefferson ◽  
Ian M. Dobbie ◽  
Martin J. Booth ◽  
Ilan Davis ◽  
...  
Keyword(s):  
Open Source ◽  
Fluorescence Imaging ◽  
Imaging System ◽  
Low Cost ◽  
Dark Field ◽  
List Type ◽  
Image Capture ◽  
Fluorescence Imaging System ◽  
3D Printed ◽  
Open Source Hardware

ABSTRACTCommercial fluorescence microscope stands and fully automated XYZt fluorescence imaging systems are generally beyond the limited budgets available for teaching and outreach. We have addressed this problem by developing “Microscopi”, an accessible, affordable, DIY automated imaging system that is built from 3D printed and commodity off-the-shelf hardware, including electro-mechanical, computer and optical components. Our design features automated sample navigation and image capture with a simple web-based graphical user interface, accessible with a tablet or other mobile device. The light path can easily be switched between different imaging modalities. The open source Python-based control software allows the hardware to be driven as an integrated imaging system. Furthermore, the microscope is fully customisable, which also enhances its value as a learning tool. Here, we describe the basic design and demonstrate imaging performance for a range of easily sourced specimens.HighlightsPortable, low cost, self-build from 3D printed and commodity componentsMultimodal imaging: bright field, dark field, pseudo-phase and fluorescenceAutomated XYZt imaging from a tablet or smartphone via a simple GUIWide ranging applications in teaching, outreach and fieldworkOpen source hardware and software design, allowing user modification

2 DOF Compliant 3D-PLE System Demonstrating Fundamentals of Vibrations and Passive Vibration Isolation

2020 ◽  
Author(s):  
Niko Giannakakos ◽  
Ayse Tekes ◽  
Tris Utschig
Keyword(s):  
Degrees Of Freedom ◽  
Engineering Students ◽  
Vibration Isolation ◽  
Low Cost ◽  
Educational Systems ◽  
Primary System ◽  
Laboratory Equipment ◽  
Dynamics And Control ◽  
3D Printed ◽  
And Control

Abstract Mechanical engineering students often learn the fundamentals of vibrations along with the time response of underdamped, critically damped, and overdamped systems in machine dynamics and vibrations courses without any validation or visualization through hands-on experimental learning activities. As these courses are highly theoretical, students find it difficult to connect theory to practical fundamentals such as modeling of a mechanical system, finding components of the system using experimental data, designing a system to achieve a desired response, or designing a passive vibration isolator to reduce transmitted vibrations on a primary system. Further, available educational laboratory equipment demonstrating vibrations, dynamics and control is expensive, bulky, and not portable. To address these issues, we developed a low-cost, 3D printed, portable laboratory equipment (3D-PLE) system consisting of primary and secondary carts, rail, linear actuator, Arduino, and compliant flexures connecting the carts. Most of the educational systems consist of a mass limited to 1DOF motion and multi-degrees of freedom systems can be created using mechanical springs. However, in real-world applications oscillations in a system are not necessarily due to mechanical springs. Anything flexible, or thin and long, can be represented by a spring as seen in torsional systems. We incorporated 3D printed and two monolithically designed rigid arms connected with a flexure hinge of various stiffness. The carts are designed in a way such that two flexible links can be attached from both sides and allow more loads to be added on each cart. The system can be utilized to demonstrate fundamentals of vibrations and test designs of passive isolators to dampen the oscillations of the primary cart.

PAWDQ: A 3D Printed, Open Source, Low Cost Dynamic Quadruped

2021 ◽  
Author(s):  
Joonyoung Kim ◽  
Taewoong Kang ◽  
Dongwoon Song ◽  
Seung-Joon Yi
Keyword(s):  
Open Source ◽  
Low Cost ◽  
3D Printed

scholarly journals BioSamplr: An open source, low cost automated sampling system for bioreactors

2020 ◽  
Author(s):  
John P. Efromson ◽  
Shuai Li ◽  
Michael D. Lynch
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Raspberry Pi ◽  
Sampling System ◽  
Sample Interval ◽  
3D Printed ◽  
Bioreactor Experiment ◽  
Log File ◽  
Time Required ◽  
The Cost

AbstractAutosampling from bioreactors reduces error, increases reproducibility and offers improved aseptic handling when compared to manual sampling. Additionally, autosampling greatly decreases the hands-on time required for a bioreactor experiment and enables sampling 24 hrs a day. We have designed, built and tested a low cost, open source, automated bioreactor sampling system, the BioSamplr. The BioSamplr can take up to ten samples from a bioreactor at a desired sample interval and cools them to a desired temperature. The device, assembled from low cost and 3D printed components, is controlled wirelessly by a Raspberry Pi, and records all sampling data to a log file. The cost and accessibility of the BioSamplr make it useful for laboratories without access to more expensive and complex autosampling systems.

scholarly journals OPAM, an Open source, 3D printed Low-cost Micro-Manipulator for Single Cell Manipulation

2021 ◽  
Author(s):  
Jiang Xu ◽  
Zhuowei Du ◽  
Paul Hsi Liu ◽  
Yi Kou ◽  
Lin Chen
Keyword(s):  
Single Cell ◽  
Open Source ◽  
Low Cost ◽  
Cell Manipulation ◽  
Stepper Motor ◽  
Great Promise ◽  
3D Printer ◽  
Cell Capture ◽  
Entry Level ◽  
3D Printed

We introduce OPAM, an Open source, low-cost (under $150), 3D-Printed, stepper motor driven, Arduino based, single cell Micromanipulator (OPAM). Modification of a commercial stepper motor led to dramatically increased stability and maneuverability of the motor, based on which the micromanipulator was designed. All components of this micromanipulator can be 3D printed using an entry-level 3D printer and assembled with ease. With this single cell manipulator, successful targeted single cell capture and transfer was confirmed under the microscope, which showed great promise for single cell related experiments.

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