Published
2 years agoon
DiscoverSTEM Inventors’ innovative research abstract titled “EEG-Controlled Wheelchair for Fully Immobilized Individuals” in IDDB Journal
View the abstract in the Innovations in Digital Health, Diagnostics, and Biomarkers Journal.
Those who are paralyzed must rely on a caretaker to complete day-to-day tasks and remain mobile. To combat this issue, research has been conducted to leverage visually evoked potentials using electroencephalography (EEG) to control wheelchairs. However, most of the resulting products from this research have been expensive and inaccessible to patients.
To address this issue, DiscoverSTEM inventors have developed an inexpensive attachment for wheelchairs such that any power wheelchair can be easily converted to an EEG-controlled wheelchair. After extensive research on both the P300 and the steady-state visually evoked potential (SSVEP) paradigms, DiscoverSTEM inventors found that SSVEP is the more practical paradigm for applications related to real-time selections, such as when the user is driving the wheelchair.
DiscoverSTEM inventors have designed a prototype EEG-controlled wheelchair that consists of an EEG headset, a laptop, a Raspberry Pi circuit, a servo motor, a 3D printed fork to guide a joystick, and a joystick-controlled electric wheelchair. Our innovation can easily be attached to any electric wheelchair with a joystick without damaging or permanently modifying the wheelchair. The system is also portable since the connection between the headset and the laptop is via Bluetooth and the connection between the laptop and the Raspberry Pi is via the user datagram protocol (UDP).
This innovation is featured in Abstract No.: A02025 Mental, Emotional and Behavioral Reporting System in Volume 2, Issue 2022 of the IDDB journal.
DiscoverSTEM Inventors also won First Prize for the most innovative research abstract titled “EEG-Controlled Wheelchair for Fully Immobilized Individuals at Advancing Healthcare Innovation Summit 2022
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