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A project presentation A project presentation Presentation Transcript

  • Presented by: Supervised by:Rethabile Mabaso Mr. T. Koetje
  •  Directly control video games with muscles Uses Arduino UNO microcontroller Acts as HID keyboard interface Muscle sensor design for signal processing Allows two muscles to act independently and in combination to control three buttons (left bicep , LEFT) (Right bicep , RIGHT) (combination , ROTATE) Illustrated using Tetrix game
  •  To facilitate game-playing in people with special needs Pilot project for a diagnostic tool for identifying neuromuscular diseases and disorders of motor control Could be extended for use in control of moving objects such as mobile robots and an electric wheelchair
  •  Handicapped persons People with neuromuscular diseases Obsolete gaming models Electronics Engineering theory into practice Biomedical Hobbyist
  •  Electrical potential produced by electrically or neurologically activated muscles Electrical source is the muscle membrane potential of about -90 mV Measured EMG potentials range from less than 50 µV and up to 20-30 mV Typical repetition rate of muscle motor unit firing is about 7-20 Hz Surface EMG and intramuscular EMG Muscle tissue at rest is normally electrically inactive
  •  Superimposed motor unit action potentials ( MUAPs ) Can be decomposed into their constituent MUAPs for analysis MUAPs from different motor units tend to have different characteristic shapes
  •  1 x Arduino Uno R2 ( needs the atmega8u2 USB chip which is only available on newer Arduino MCUs ) 1 x Arduino Project Enclosure 1 x USB cable for the Arduino 2 x Muscle Sensors 1 x 12V Power Supply 2 sets of EMG Cables and Electrodes
  •  3 x TL072 IC Chip 1 x INA106 IC Chip 2 x 9V Battery 2 x 9V battery clips 2 x 1.0 µF Tant capacitor 1 x 0.01 µF Ceramic Disc capacitor 1 x 1.0 µF Ceramic Disc capacitor 3 x 150 kOhm 1% resistor 2 x 1 Mohm 1% ( Refer to Complete list )
  •  Signal acquisition INA106 difference amplifier ( G = 110 ) Signal conditioning – Amplification TL072 inverting amplifier ( G = -15 ) AC coupling High pass filter Signal conditioning – Rectification Active full-wave rectifier Signal conditioning – Smoothing + Amplification
  •  The two sets of electrodes limit allowable button count Could use DSP Wireless technology
  •  New structure still under development
  •  Covered aspects completed successfully Project to be completed by mid-April
  • 1. ^ Kamen, Gary. Electromyographic Kinesiology. In Robertson, DGE et al. Research Methods in Biomechanics. Champaign, IL: Human Kinetics Publ., 2004.2. ^ Electromyography at the US National Library of Medicine Medical Subject Headings (MeSH)3. ^ Nigg B.M., & Herzog W., 1999. Biomechanics of the Musculo-Skeletal system. Wiley. Page:349.4. ^ Cram, JR.; Steger, JC. (Jun 1983). "EMG scanning in the diagnosis of chronic pain.". Biofeedback Self Regul 8 (2): 229– 41. PMID 6227339.5. ^ Arthur C. Rothman, MD, v. Selective Insurance Company of America, Supreme Court of New Jersey, Jan. 196. ^ Texas Court of Appeals, Third District, at Austin, Cause No. 03-10-673-CV. April 5, 20127. ^ Section 333.17018 Michigan Compiled Laws http://legislature.mi.gov/doc.aspx?mcl-333-170188. ^ Harvey AM, Masland RL: Actions of durarizing preparations in the human. Journal of Pharmacology And Experimental Therapeutics, Vol. 73, Issue 3, 304-311, 19419. ^ Botelho SY: Comparison of simultaneously recorded electrical and mechanical activity in myasthenia gravis patients and in partially curarized normal humans. Am J Med. 1955 Nov;19(5):693-6.PMID 1326846610. ^ Christie TH, Churchill-Davidson HC: The St. Thomass Hospital nerve stimulator in the diagnosis of prolonged apnoea. Lancet. 1958 Apr 12;1(7024):776. PMID 1352627011. ^ Engbaek J, Ostergaard D, Viby-Mogensen J: Double burst stimulation (DBS): a new pattern of nerve stimulation to identify residual neuromuscular block. Br J Anaesth. 1989 Mar;62(3):274-8. PMID 252279012. ^ Andreasen, DS.; Gabbert DG,: EMG Switch Navigation of Power Wheelchairs, RESNA 2006. [1]13. ^ Park, DG.; Kim, HC. Muscleman: Wireless input device for a fighting action game based on the EMG signal and acceleration of the human forearm. [2]14. ^ Hsu, Jeremy (2009-10-29). "The Future of Video Game Input: Muscle Sensors". Live Science. http://www.livescience.com/technology/091029-ttr-muscle-sensing.html. Retrieved 2010-01-16.15. ^ "Recognizing Gestures from Forearm EMG Signals". United States Patent and Trademark Office. 2008-06- 26. http://appft.uspto.gov/netacgi/nph- Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%222009032 7171%22.PGNR.&OS=DN/20090327171&RS=DN/20090327171. Retrieved 2010-01-16
  •  Noting…