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access icon free Hardware design and software development of a motion control and driving system for transradial prosthesis based on a wireless myoelectric armband

This research work presents the design of the electronics modules of Adam's Hand, a transradial myoelectric prosthesis based on an innovative mechanism which can actuate five three-phalanges fingers (15 degrees of freedom) with just one motor, instead of the five/six motors conventionally used in other prosthetic devices; moreover, the prosthesis uses two servomotors to actuate the wrist movements. Adam's Hand fingertips are provided with temperature and pressure sensors, while the user myoelectric signals are acquired wirelessly by means of the Myo armband, a wearable device provided with eight electromyography electrodes, a nine-axis inertial measurement unit, and a transmission module. These data are received through an HM-11 BLE module, connected to Adam's Hand custom PCB, which features an Arduino Micro board. This board processes all the data and drives the actuators by means of properly chosen drivers. A Raspberry Pi 3 board manages a touchscreen display – which can be used to visualise the gathered data – and sends them to a dedicate cloud platform, so that the orthopaedic technicians who take care of Adam's Hand users can monitor them in real time, thus improving their recovery during the rehabilitation period.

Inspec keywords: haptic interfaces; biomedical electrodes; prosthetics; patient rehabilitation; pressure sensors; orthopaedics; medical signal processing; electromyography; servomotors; microcontrollers; motion control; temperature sensors; biomedical electronics; medical control systems

Other keywords: software development; HM-11 BLE module; driving system; rehabilitation period; servomotors; temperature sensors; electronics modules; dedicated cloud platform; Adam's Hand users; hardware design; user myoelectric signals; three-phalanges fingers; nine-axis inertial measurement unit; Adam's Hand custom PCB; transradial prosthesis; wireless myoelectric armband; actuators; wrist movements; pressure sensors; transradial myoelectric prosthesis; Adam's Hand fingertips; prosthetic devices; motion control; wearable device; motors; Raspberry Pi 3 board; transmission module; electromyography electrodes; Myo armband; Arduino Microboard; touchscreen display

Subjects: Spatial variables control; Pressure measurement; Actuating and final control devices; Pressure and vacuum measurement; Electrodiagnostics and other electrical measurement techniques; Signal processing and detection; Biology and medical computing; Bioelectric signals; Prosthetic and orthotic control systems; Digital signal processing; Thermometry; Thermal variables measurement; Prosthetics and other practical applications; Sensing devices and transducers; Electrical activity in neurophysiological processes; Prosthetics and orthotics; Interactive-input devices

References

    1. 1)
      • 16. Patrono, L., Primiceri, P., Rametta, P., et al: ‘An innovative approach for monitoring elderly behavior by detecting home appliance's usage’. 25th Int. Conf. on Software, Telecommunications and Computer Networks, SoftCOM, Croatia, September 2017, Article number 8115547.
    2. 2)
      • 11. Visconti, P., Primiceri, P.: ‘An overview on state-of-art and future application fields of BLDC motors: design and characterization of a PC-interfaced driving and motion control system’, J. Eng. Appl. Sci. ARPN, 2017, 12, (17), pp. 49134926.
    3. 3)
      • 18. Visconti, P., Sbarro, B., Primiceri, P.: ‘A ST X-nucleo-based telemetry unit for detection and Wifi transmission of competition car sensors data: firmware development, sensors testing and real-time data analysis’, Int. J. Smart Sens. Intell. Syst., 2017, 10, (4), pp. 793828.
    4. 4)
      • 2. Zappatore, G.A., Reina, G., Messina, A.: ‘Adam's hand: an underactuated robotic end-effector’, in Boschetti, G., Gasparetto, A. (Eds): ‘Advances in Italian mechanism science. Mechanisms and machine science’ (Springer, Switzerland, 2016), vol. 47, pp. 239246, Cham.
    5. 5)
      • 13. Merletti, R., Aventaggiato, M., Botter, A., et al: ‘Advances in surface EMG: recent progress in detection and processing techniques’, Crit. Rev.TM Biomed. Eng., 2010, 38, (4), pp. 305345.
    6. 6)
      • 5. Vidovic, M., Hwang, H.-J., Amsuss, S., et al: ‘Improving the robustness of myoelectric pattern recognition for upper limb prostheses by covariate shift adaptation’, IEEE Trans. Neural Syst. Rehabil. Eng., 2016, 24, (9), pp. 961970.
    7. 7)
      • 19. MyoBridge Library 1.0. Available at https://github.com/vroland/MyoBridge.
    8. 8)
      • 3. Zappatore, G.A., Reina, G., Messina, A.: ‘Analysis of a highly underactuated robotic hand’, Int. J. Mech. Control, 2017, 18, (4), pp. 1723.
    9. 9)
      • 1. Adam's Hand website, BionIT Labs [Online]. Available at http://www.adamshand.it.
    10. 10)
      • 4. Myo Armband website, Thalmic Labs [Online]. Available at https://www.myo.com/.
    11. 11)
      • 14. Filippeschi, A., Schmitz, N., Miezal, M., et al: ‘Survey of motion tracking methods based on inertial sensors: a focus on upper limb human motion’, Sensors, 2017, 17, (6), p. 1257.
    12. 12)
      • 15. Malone, J.M., Fleming, L.L., Roberson, J., et alImmediate, early, and late postsurgical management of upper-limb amputation’, J. Rehabil Res. Dev., 1984, 21, (1), pp. 3341.
    13. 13)
      • 10. Zappatore, G.A., Reina, G., Messina, A.: ‘A proposed software framework for studying the grasp stability of underactuated fingers’. 4th IFToMM Symp. on Mechanism Design for Robotics, Udine, Italy, 11–13 September2018.
    14. 14)
      • 8. Morais, G.D., Neves, L.C., Masiero, A.A., et al: ‘Application of Myo armband system to control a robot interface’. Proc. 9th Int. Joint Conf. on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), Italy, Rome, February 2016, Vol. 4, pp. 227231.
    15. 15)
      • 6. Sathiyanarayanan, M., Mulling, T., Nazir, B.: ‘Controlling a robot using a wearable device (MYO)’, Int. J. Eng. Dev. Res., 2015, 3, (3), pp. 16.
    16. 16)
      • 12. Visconti, P., Lay-Ekuakille, A., Primiceri, P., et al: ‘Hardware design and software development for a white LED-based experimental spectrophotometer managed by a PIC-based control system’, IEEE Sens. J., 2017, 12, (1), pp. 140150.
    17. 17)
      • 7. Ganiev, A., Shin, H.S., Lee, K.H.: ‘Study on virtual control of a robotic arm via a Myo armband for the self-manipulation of a hand amputee’, Int. J. Appl. Eng. Res., 2016, 11, (2), pp. 775782.
    18. 18)
      • 17. Visconti, P., Giannotta, G., Brama, R., et al: ‘Framework implementation, firmware development and characterization of flex-SPI communication protocol: energy consumption analysis and comparison with I2C standard’, Int. J. Smart Sens. Intell. Syst., 2017, 10, (4), pp. 754792.
    19. 19)
      • 9. Donovan, I., Valenzuela, K., Ortiz, A., et al: ‘MyoHMI: a low-cost and flexible platform for developing real-time human machine interface for myoelectric controlled applications’. IEEE Int. Conf. Systems, Man, and Cybernetics • SMC 2016, Budapest, Hungary, October 2016, pp. 44954500.
    20. 20)
      • 20. Mendez, I., Hansen, B.W., Grabow, C.M., et al: ‘Evaluation of the Myo armband for the classification of hand motions’. Int. Conf. on Rehabilitation Robotics (ICORR), 2017, pp. 12111214.
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