Dr. Ahmet Dogukan Keles

Participating in an ERC Project, "qMOTION", aiming to use quantum technologies for decoding neuromuscular control during movement. - Phantom Fiber: Developed a PCB hardware designed to replicate muscle activities. - EMG/OPM Setup Design Designed an integrated system using a data acquisition device that interfaces with different recording systems. - Biosignal Analysis: Developed advanced signal processing algorithms. - AI Applications: Developed neural network-based algorithms.

Oversaw the development of hardware and software solutions for military applications. - Biomechatronic Team Leader: Conducted research on biomechatronic applications and projected innovative R&D ideas. - AI Applications: Streamlined and supervised the development of deep learning and machine learning algorithms. - System Validation: Participated in developing integrated hardware and software solutions for military applications.

LiveWell A.Ş. a subsidiary of Softtech A.Ş. The project regarding the development of the healthcare platform was continued. - ECG Analysis: Developed an ECG signal processing algorithm to detect and classify arrhythmias. - API Development: Developed an API for the Desktop and Web applications within the LiveWell Health Platform to analyze ECG signals. - CE Certification: Secured the CE certification for the developed algorithms.

At Softtech Inc., I was involved in the development of a healthcare system within the LiveWell Department. In January 2018, due to the promising results of our initial studies, Softtech Inc. established LiveWell Inc. to advance the project further. At LiveWell Inc., we developed an online healthcare platform that allows doctors to monitor their patients' health conditions in real time. This included the development of a holter device and corresponding web, mobile, and desktop interfaces.

The development of an improved EMG-controlled powered upper limb prosthesis that could perform eight different tasks. - Motor Selection: Developed and executed modeling studies to identify suitable motors for the prosthesis. - Biomechanical Integration: Led the integration of biomechanical needs into the prosthesis design. - EMG Signal Processing: Developed real-time EMG signal processing algorithms to interpret muscle activity to accurately detect and classify the user’s intended movements.

During my undergraduate studies, I was founded by a techno-entrepreneurship support program to develop an upper limb rehabilitation robot designed. - Robot Design: Led the mechanical design and assembly of robot manipulator using SolidWorks. - Impedance Controller: Developed and implemented real-time impedance control algorithms to enhance the robot's interaction with patients during rehabilitation exercises. - Project Management: Oversaw both technical and financial aspects of the project

Thesis: sEMG-based ankle position and moment prediction in silico: neural network approach and muscle selection

Thesis: Developing an underlying motion planning algorithm for myoelectric controlled robotic leg prostheses based on gait analysis.

Thesis: The development of the two degrees of freedom upper limb rehabilitation robot.