P1–375: Efficacy and usability of a brain‐computer interface system in improving cognition in the elderly

Lee, Tih-Shih; Goh, Siau Juinn Alexa; Quek, Shin Yi; Guan, Cuntai; Cheung, Yin Bun; Krishnan, K. Ranga Rama

doi:10.1016/j.jalz.2013.05.602

Cited by 7 publications

(4 citation statements)

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“…This would not only help fulfill the wishes of patients but also empower them and improve their quality of life. Finally, neuromonitoring/neuromodulation technology and brain-computer interfaces (BCIs) are opening new possibilities for the monitoring and purposeful modulation of the patients' brain activity as well as for external device control using both invasive and non-invasive means (Lee et al 2013;Ferrucci et al 2016).…”

mentioning

confidence: 99%

Ethical Design of Intelligent Assistive Technologies for Dementia: A Descriptive Review

et al. 2017

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The use of Intelligent Assistive Technology (IAT) in dementia care opens the prospects of reducing the global burden of dementia and enabling novel opportunities to improve the lives of dementia patients. However, with current adoption rates being reportedly low, the potential of IATs might remain under-expressed as long as the reasons for suboptimal adoption remain unaddressed. Among these, ethical and social considerations are critical. This article reviews the spectrum of IATs for dementia and investigates the prevalence of ethical considerations in the design of current IATs. Our screening shows that a significant portion of current IATs is designed in the absence of explicit ethical considerations. These results suggest that the lack of ethical consideration might be a codeterminant of current structural limitations in the translation of IATs from designing labs to bedside. Based on these data, we call for a coordinated effort to proactively incorporate ethical considerations early in the design and development of new products.

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confidence: 99%

Ethical Design of Intelligent Assistive Technologies for Dementia: A Descriptive Review

et al. 2017

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“…The selection of frequencies in SSVEP allows artifact reduction such as blinks and background EEG and therefore SSVEP based BCI systems are more robust than other systems such as transient VEP (that uses P300 potentials below 8 Hz) and imaginary movement based BCI systems (that use mu and beta rhythms). Recent researches in signal processing techniques has opened more doors towards developing intelligent real time algorithms for extraction and processing of EEG data that is suitable for SSVEP [17].…”

Section: Related Workmentioning

confidence: 99%

“…Research shows promising signs in using BCI to prevent and delay the onset of dementia, Alzheimer's and Parkinson's diseases in elderly people [17,18]. BCI could also be considered as an alternative communication medium for disabled people to operate devices such as computers, assistive chairs or to communicate with the external world [15].…”

Section: Introductionmentioning

confidence: 99%

“…Prolonged realtime use would require comfortable dry electrodes and wireless connectivity to a portable recording system. Different paradigms such as slow cortical potential (SCP), P300, and visual evoked potential (VEP) are being used in EEG research [11,13,17]. SCP signals are recorded from the scalp and reflect the changes of activity level of cortical tissues [22].…”

Section: Introductionmentioning

confidence: 99%

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A Configurable, Inexpensive, Portable, Multi-channel, Multi-frequency, Multi-chromatic RGB LED System for SSVEP Stimulation

Mouli

Palaniappan

Sillitoe

2014

Brain-Computer Interfaces

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Steady state visual evoked potential (SSVEP) is extensively used in the research of brain-computer interface (BCI) and require a controllable and configurable light source. SSVEP requires appropriate control of visual stimulus parameters, such as flicker frequency, light intensity, multi-frequency light source and multi-spectral compositions. Light emitting diodes (LEDs) are extensively used as a light source as they are energy efficient, low power, multi-chromatic, have higher contrast, and support wider frequency ranges. Here, we present the design of a compact versatile visual stimulus which is capable of producing simultaneous multiple frequency RGB LED flicker suitable for a wide range of SSVEP paradigms. The hardware is based upon the open source Arduino platform and supports on-the-fly reprogramming with easily configurable user interface via USB. The design provides fourteen independent high output channels with customisable output voltages. The flicker frequencies can be easily customised within the frequency range of 5-50 Hz, using a look-up table. The LED flickers are generated with single RGB LEDs which generate the required colour or frequency combinations for combined multi-frequency flicker with variable duty cycle to generate SSVEP. Electroencephalogram (EEG) signals have been successfully recorded from five subjects using the stimulator for different frequencies, colours, duty cycle, intensity and multiple frequency RGB source, thereby demonstrating the high usability, adaptability and flexibility of the stimulator. Finally we discuss the possible improvements to the stimulator which could provide real time user feedback to reduce visual fatigue and so increase the level of user comfort.

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Computerised cognitive training for maintaining cognitive function in cognitively healthy people in late life

Gates

Rutjes

Nisio

et al. 2019

Cochrane Database of Systematic Reviews

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P1–375: Efficacy and usability of a brain‐computer interface system in improving cognition in the elderly

Cited by 7 publications

References 0 publications

Ethical Design of Intelligent Assistive Technologies for Dementia: A Descriptive Review

Ethical Design of Intelligent Assistive Technologies for Dementia: A Descriptive Review

A Configurable, Inexpensive, Portable, Multi-channel, Multi-frequency, Multi-chromatic RGB LED System for SSVEP Stimulation

Computerised cognitive training for maintaining cognitive function in cognitively healthy people in late life

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