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Development of a sensory feedback system in hand prostheses.

Jordansson, Alexander LU and Haji Sheykhi, Nima LU (2017) EEM820 20171
Department of Biomedical Engineering
Abstract
This master thesis is about improvement, optimization and further development of the sensory feedback in a prosthetic hand previously investigated at the department of Biomedical Engineering in Lund. The first approach will be to investigate and further see into the need of a sensory feedback in hand prostheses. There were several reports that showed that the lack of sensory feedback in hand prostheses increased the rejection factor for the user.

The aim will be to investigate necessary functions needed in a sensory feedback system in hand prosthesis and look into appropriate hardware that fulfills these requirements. The core hardware is built on two Arduino Nano circuits. The force sensing sensors, electromyography sensors and the... (More)
This master thesis is about improvement, optimization and further development of the sensory feedback in a prosthetic hand previously investigated at the department of Biomedical Engineering in Lund. The first approach will be to investigate and further see into the need of a sensory feedback in hand prostheses. There were several reports that showed that the lack of sensory feedback in hand prostheses increased the rejection factor for the user.

The aim will be to investigate necessary functions needed in a sensory feedback system in hand prosthesis and look into appropriate hardware that fulfills these requirements. The core hardware is built on two Arduino Nano circuits. The force sensing sensors, electromyography sensors and the sensory feedback vibrators are the main components for the setup. To fully utilize the capacity of the micro controllers and to fulfill the requirements in the aim components such as a real time clock, data logger, Bluetooth and a calibration mode will be applied in the setup. Subsequently a printed circuit board will be developed while investigating the robustness, rapidity and stability of the Arduino setup.

The result of this project is ready to test EMG controlled hand prosthesis with sensory feedback. The response time is around 6 ms. In addition to this, several features have been added to the setup such as an calibration mode with Bluetooth interface, a real time clock and the opportunity to store information on an SD card. An implemented sleep mode that makes the setup as power saving as possible is also implemented. (Less)
Popular Abstract
Vibrotactile sensory feedback in hand prostheses

Reports showed that the lack of sensory feedback in myoelectric hand prostheses increased the rejection factor for the user.

Purpose: The aim will be to investigate necessary functions needed in a sensory feedback system in a hand prosthesis and look into appropriate hardware that fulfills these requirements.

Methods: The core hardware is built on two Arduino Nano circuits. The force sensing sensors, electromyography sensors and the sensory feedback vibrators are the main components for the setup.

Results: This project is ready to test electromyographic controlled hand prosthesis with sensory feedback. In addition to this, several features have been added to the setup such as... (More)
Vibrotactile sensory feedback in hand prostheses

Reports showed that the lack of sensory feedback in myoelectric hand prostheses increased the rejection factor for the user.

Purpose: The aim will be to investigate necessary functions needed in a sensory feedback system in a hand prosthesis and look into appropriate hardware that fulfills these requirements.

Methods: The core hardware is built on two Arduino Nano circuits. The force sensing sensors, electromyography sensors and the sensory feedback vibrators are the main components for the setup.

Results: This project is ready to test electromyographic controlled hand prosthesis with sensory feedback. In addition to this, several features have been added to the setup such as an calibration mode with Bluetooth interface, a real time clock and the opportunity to store information on an SD card.

Conclusions: Even though this project resulted in a successful, functioning sensory feedback system, it needs to be evaluated and preferably on amputees. (Less)
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author
Jordansson, Alexander LU and Haji Sheykhi, Nima LU
supervisor
organization
course
EEM820 20171
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Prosthetic hands, sensory feedback, Myoelectric control, Arduino, Ottobock, limb prostheses, Robots, PWM, Data transfer, Build circuit, RTC, Data logger, EMG, Bluetooth, I2C, FSR, Sleep mode, Interrupt, Baud rate, serial monitor, Serial interface, memory, EAGLE, LabVIEW, Master, Slave, Low pass filter, Power consumption, Transfer time, Calibration
language
English
additional info
2017-03
id
8905376
date added to LUP
2017-04-07 16:17:14
date last changed
2017-04-07 16:17:14
@misc{8905376,
  abstract     = {This master thesis is about improvement, optimization and further development of the sensory feedback in a prosthetic hand previously investigated at the department of Biomedical Engineering in Lund. The first approach will be to investigate and further see into the need of a sensory feedback in hand prostheses. There were several reports that showed that the lack of sensory feedback in hand prostheses increased the rejection factor for the user. 

The aim will be to investigate necessary functions needed in a sensory feedback system in hand prosthesis and look into appropriate hardware that fulfills these requirements. The core hardware is built on two Arduino Nano circuits. The force sensing sensors, electromyography sensors and the sensory feedback vibrators are the main components for the setup. To fully utilize the capacity of the micro controllers and to fulfill the requirements in the aim components such as a real time clock, data logger, Bluetooth and a calibration mode will be applied in the setup. Subsequently a printed circuit board will be developed while investigating the robustness, rapidity and stability of the Arduino setup. 

The result of this project is ready to test EMG controlled hand prosthesis with sensory feedback. The response time is around 6 ms. In addition to this, several features have been added to the setup such as an calibration mode with Bluetooth interface, a real time clock and the opportunity to store information on an SD card. An implemented sleep mode that makes the setup as power saving as possible is also implemented.},
  author       = {Jordansson, Alexander and Haji Sheykhi, Nima},
  keyword      = {Prosthetic hands,sensory feedback,Myoelectric control,Arduino,Ottobock,limb prostheses,Robots,PWM,Data transfer,Build circuit,RTC,Data logger,EMG,Bluetooth,I2C,FSR,Sleep mode,Interrupt,Baud rate,serial monitor,Serial interface,memory,EAGLE,LabVIEW,Master,Slave,Low pass filter,Power consumption,Transfer time,Calibration},
  language     = {eng},
  note         = {Student Paper},
  title        = {Development of a sensory feedback system in hand prostheses.},
  year         = {2017},
}