An Electroencephalogram Signal based Triggering Circuit for controlling Hand Grasp in Neuroprosthetics

Karthikeyan, G.; Sheet, Debdoot; Manjunatha, M.

doi:10.1007/978-3-540-92841-6_169

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…EEG signals are user dependent, causing variations in EEG patterns in different subjects. These variations can be seen in the same specific mental tasks (Karthikeyan et al, 2009) and restricting the C3 and C4 electrodes could result in significant data loss (Dias et al, 2009;Arvaneh et al, 2011).…”

Section: Selection Of the Bmi Systemmentioning

confidence: 97%

SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

McConnell

Vallejo

Moioli³

et al. 2017

Front. Mech. Eng.

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This work describes the design, fabrication, and initial testing of a Soft Orthotic Physiotherapy Hand Interactive Aid (SOPHIA) for stroke rehabilitation. SOPHIA consists of (1) a soft robotic exoskeleton, (2) a microcontroller-based control system driven by a brain-machine interface (BMI), and (3) a sensorized glove for passive rehabilitation. In contrast to other rehabilitation devices, SOPHIA is the first modular prototype of a rehabilitation system that is capable of three tasks: aiding extension based assistive rehabilitation, monitoring patient exercises, and guiding passive rehabilitation. Our results show that this prototype of the device is capable of helping healthy subjects to open their hand. Finger extension is triggered by a command from the BMI, while using a variety of sensors to ensure a safe motion. All data gathered from the device will be used to guide further improvements to the prototype, aiming at developing specifications for the next generation device, which could be used in future clinical trials.

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Section: Selection Of the Bmi Systemmentioning

confidence: 97%

SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

McConnell

Vallejo

Moioli³

et al. 2017

Front. Mech. Eng.

View full text Add to dashboard Cite

show abstract

“…Currently, there are many BCI applications in different areas such as computer cursor control [23], remote control [24], biometric authentication [25], and emotion prediction [26]. Most remarkably, BCIs were already applied to control limb prosthetic devices [27], [28], and such BCI controlled prostheses indicate a feasible neurological rehabilitation technology for motor function recovery. Jackson et al [29] introduced an implanted BCI system for upper extremity stimulation which was evaluated in monkeys.…”

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confidence: 99%