Abstract
In this study, prosthesis performance was examined in the direction of prosthesis comfort, which may be incorporated into clinical practice as considerations for the fabrication of patient-specific prostheses. The need to produce patient-specific prosthetics is very germane to assist in orthopedic and trans-radial amputation medicine. The prosthesis makes use of a relatively simple brain-computer interface that receives electroencephalogram (EEG) signals as input and drives actuators connected to cables to actuate the 3D-printed fingers and the wrist. Both mechanical and electrical simulations were carried out to investigate the response to loading conditions, after which sensitivity analysis was conducted to validate the prosthesis performance.
Highlights
Many amputees abandon their prosthetic arms and wrists because the weight and dimensions of various prostheses can cause discomfort and issues with user coordination; these complications often arise when the prostheses do not fit the amputee properly
Is study is designed to help those who had their hands and/or forearms amputated by developing an affordable, comfortable, yet functional prosthetic hand that can be employed to carry out basic tasks. e prosthesis developed from a 3D printer makes use of a relatively simple braincomputer interface that receives EEG signals as input and drives actuators connected to cables to actuate the 3Dprinted fingers and the wrist. e methodology and explanation are presented in detail
Material Selection. e upper limb model from an opensource file was simulated and produced using the biocompatible additive manufactured technique, fusion deposition. e materials used were polylactic acid (PLA) for the phalanges, while ABS was used for the metacarpals and as bolts for the joints. e assembled primitives were enabled for perception and control by signals of electro-encephalogram using an Arduino-based microcontroller to parse the transfer of biopotential signals and a NeuroSky headset used as the brain signal sensor
Summary
E six servo motors are connected to digital I/O pins on the Arduino microcontroller and configured as output pins. E wire soldered to the “T” pin of the EEG headset is connected to another free digital pin on the controller and configured to send data serially to the microcontroller. After the assembly was completed, the step was to place the servomotors in the servo bed designed to be situated in the forearm. One servomotor was placed in the wrist assembly to aid
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