Biomedical Engineering. Arm Prosthesis. Signals TEAM 2: CHARLES BROWN, ASHLEY LEMUS,TOM PROKOP AND ARIUM ROSE
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1 Biomedical Engineering Arm Prosthesis Controlled by EEG Signals TEAM 2: CHARLES BROWN, ASHLEY LEMUS,TOM PROKOP AND ARIUM ROSE
2 Overview: OBJECTIVES PROCESS CHALLENGES SOLUTIONS IF THE DESIGN MEET THE EXPECTATIONS MANAGEMENT DETAILS ABOUT THEPROJECT: TIMELINES JUSTIFIED STAFFING A N D MAN-HOURS JUSTIFIED COSTS SUPPLIES ASSEMBLY A N D TRANSPORTATIONS PRODUCT TESTING A N D OTHER DETAILS.
3 Objectives: This Prosthesis was design to replace limbs. Improve quality of life by providing greater stability of movements and to aid with the completion of daily tasks in a work environment. Provide innovative technology by contributing with the development of more accessible and affordable designs.
4 How does it work? This Prosthesis are controlled with EEG signals (Electroencephalogram) collected directly from the brain. This Technique is called "Brain Computer Interferences" (BCI) Electrodes record electrical activity of the brain and transfer the signals to the Motor drive to control the wrist and the lifting mechanism andthe other Motor drive to control the motor from opening and closing mechanism.
5 Mechanical design of the Prothesis Evaluation ofthe measurements and proportions as well as efficiency in a work environment of an average man. A scan was done to a man's arm to obtain a prothesis with the appearance and functionality of an arm. The design can be divided into 3: Docking Structure Forearm Structure Hand
6 Challenges and Solution BCI uses electrodes which had to be implanted in the motor cortex Obtain EEG signals by placing surface electrodes in the scalp. Metal implant attach directly to thebone Neoprene shoulder support was adapted to ensure the comfort. The amount of electronic components They were adapted in plates for better accommodation and easier manufacture. Grabbing deliciate objects Highly sensitive sensors were installed to prevent damaging deliciated objects
7 Timeline RESEARCH RATIONALE SUMMARY STAFFING BUDGET ASSEMBLY of PROTOTYPE PRODUCT TESTING LAW & REGULATIONS
8 Test and results The validation tests for the prosthesis were divided into 2 parts: 1. Validation of mechanical Structure 2. Validation of BCI How were they tested: Different test holding different size objects. 55 people tested the BIC validation by completing different task like opening and closing the hand,as well as activation of the wrist turning mechanism.
9 Budg et ITEM 1. Arduino Uno Rev3 (Company: Adafruit) (Quantity: 1) 2. Arduino Ethernet Shield with micro SD connector (Company: Adafruit) (Quantity: 1) 3. Linear Actuators (Company: Figelli Technology) (Quantity: 4) 4. SainSmart 4 Channel 5V Solid State Relay Module Board (Company: SainSmart) (Quantity:2) 5. Saline Solution (Company: CVS) (Quantity: 1) 6. Electrodes for Headset (Company: Emotiv) (Quantity: 1) 7. Electrodes for E M G (Company: Bio-Medical) (Quantity: 1) 8. Aluminum Sheet for Arm (.016"x12"x12") (Company: Mc-Master Carr) (Quantity: 1) 9. ABS Sheet (3/8"x12"x24") (Company: Mc-Master Carr) (Quantity: 2) 10. Aluminum Bar for attachments (1"x1"x12") (Company: Mc-Master Carr) (Quantity: 1) 11. Pin for wrist (3/8"x2.25") (Company: Mc-Master Carr) (Quantity: 1) 12. Pin for elbow (3/8"x1.25") Pack of 5 (Company: Mc-Master Carr) (Quantity: 1) 13. Pins for hand (.25'"x.5") Pack of 25 (Company: Mc-Master Carr) (Quantity: 1)
10 Budget Cont. ITEM 1. Round Force-Sensitive Resistor (FSR) - Interlink 402 (Company: Adafruit) (Quantity: 3) 2. Charging Station (Company: Jameco) (Quantity: 1) 3. Battery (Company: Jameco) (Quantity: 1) 4. Strap for attachment (Company: The Brace Shot Bledsoe) (Quantity: 1) Starting Budget: $ Total Cost: $ Differencein Total: $252.74
11 Staffing We d like to give credit to the team who facilitated this project Group Members LaurenSidow - Biomedical Engineer Team Leader sidow l1@tcnj. edu LoganHones - Biomedical Engineer Time Management honesl1@tcnj. edu Adriana Chisholm - Biomedical Engineer Recorder chishoa2@tcnj.edu Giancarlo Cruz - Computer Engineer Budget Management cruzg1@tcnj.e du Daniel Castellucci - Computer Engineer Webmaster casteld2@tcnj.edu Faculty Adv isors Dr. Xuefeng Wei - Biomedical Engineering Depa rtme nt Dr. Ambrose Adegbege - Electrical and Computer Engineering Department
12 Conclusion During the initial stage of developing an active prosthesis Mechanical structure successfully manages under stress conditions Opening and closing mechanisms proved to be efficient in handling medium and large objects, but not able to handle small objects Effective wrist rotation motion Need for another sensor to improve lifting mechanism The Emotiv EEG Neuroheadset proved to be efficient The prosthesis meets all expectations
13 Sources: A. H. Moreira, F. S. M. Barbosa, G. H. A. Ikeda, G. d. M. Carvalho, F. S. Madani and L. G. Trabasso, "Development of a Hybrid Arm Prosthesis Controlled by EEG Signals," nd International Conference on Cybernetics, Robotics and Control(CRC), Chengdu, 2017,pp doi: /CRC keywords: {anthropometry;electroencephalography;medical signal processing;microcontrollers;prosthetics;signal classification;hybrid arm prosthesis;eeg signals;prosthetics;electroencephalography;wrist;sensors;thumb;headphones;arm prosthesis;hybrid prosthesis;eeg}, URL: Widehammar, Cathrine, et al. Current Neurology and Neuroscience Reports.,U.S. National Library of Medicine, Feb. 2018,
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