Key Aspects of EEG Integration in Wearable Devices for Depression Treatment: A Roadmap for Future Innovations
(2024) BMEM01 20241Department of Biomedical Engineering
- Abstract (Swedish)
- Introduction: This thesis explores the integration of EEG into wearable devices, emphasizing its evolution from clinical to non-clinical settings and its significance in depression treatment. Method: Employing three EEG systems (Emotiv EPOC Flex, IDUN Guardian, and OpenBCI Cyton), the study investigates their efficacy in non-clinical environments. Experiments focused on optimal brain region identification for alpha frequency, impedance stability of dry electrodes, and the impact of saline pads on signal quality. Result: Results indicate considerable variations in EEG signal quality and alpha frequency distribution. Trial 1 with Emotiv EPOC Flex showcased wide-spread alpha activity across the scalp. Trial 2 demonstrated impedance... (More)
- Introduction: This thesis explores the integration of EEG into wearable devices, emphasizing its evolution from clinical to non-clinical settings and its significance in depression treatment. Method: Employing three EEG systems (Emotiv EPOC Flex, IDUN Guardian, and OpenBCI Cyton), the study investigates their efficacy in non-clinical environments. Experiments focused on optimal brain region identification for alpha frequency, impedance stability of dry electrodes, and the impact of saline pads on signal quality. Result: Results indicate considerable variations in EEG signal quality and alpha frequency distribution. Trial 1 with Emotiv EPOC Flex showcased wide-spread alpha activity across the scalp. Trial 2 demonstrated impedance stabilization in 15 minutes for dry electrodes. Trial 3 revealed distinct differences in signal quality and individual alpha frequency with saline pads in the OpenBCI Cyton setup. Conclusion: A synthesis of open questions and recommendations for future research in EEG technology integration into wearable devices is provided. It addresses key aspects such as the definition of individual alpha frequency, electrode positioning, electrode-skin connection quality, precision in IAF estimation, and development of artifact-handling pipelines. (Less)
- Popular Abstract
- Unlocking the Potential of Wearable EEG Technology in Mental Health: From Science Fiction to Reality
In the dynamic world of health technology, a quiet but significant transformation is underway. This shift is marked by the integration of electroencephalography (EEG) – a method of recording electrical activity in the brain – into wearable devices. This thesis delves into this evolution, focusing on identifying the necessary considerations in making wearable EEG a feasible part of our daily lives.
The story of EEG, from Hans Berger's earliest recordings with pen and paper in the early 20th century to the advent of contemporary wearable devices, illustrates a remarkable trajectory of scientific innovation and application. Today, EEG's... (More) - Unlocking the Potential of Wearable EEG Technology in Mental Health: From Science Fiction to Reality
In the dynamic world of health technology, a quiet but significant transformation is underway. This shift is marked by the integration of electroencephalography (EEG) – a method of recording electrical activity in the brain – into wearable devices. This thesis delves into this evolution, focusing on identifying the necessary considerations in making wearable EEG a feasible part of our daily lives.
The story of EEG, from Hans Berger's earliest recordings with pen and paper in the early 20th century to the advent of contemporary wearable devices, illustrates a remarkable trajectory of scientific innovation and application. Today, EEG's scope extends beyond hospitals and clinics, finding its place in monitoring mental health, providing neurofeedback training, and enabling communication through brain-computer interfaces. In particular, this advancement holds promise for mental health care, where personalized treatment strategies outside the clinics are increasingly sought after.
Through experiments involving three different EEG systems – Emotiv EPOC Flex, IDUN Guardian, and OpenBCI Cyton – the study evaluated various aspects of EEG technology, such as the optimal brain region for monitoring, the stability of electrodes, and the impact of saline pads (soaked in a conductive fluid) on signal quality.
The results were intriguing yet varied. For instance, while saline pads improved signal quality in some cases, the effect differed across participants to an extent that made it hard to draw any definite conclusions. This variability highlights a significant challenge that wearable EEG technology is facing – the difficulty in maintaining consistent signal quality in diverse real-life environments. This led to a key takeaway from the study: the need for robust signal processing, particularly the automatic classification of good and bad signal quality. Another key finding was about individual alpha frequency (IAF), a sort of personal marker in your brain's electrical activity. It turns out that where you measure this IAF can make a big difference, and how you choose to define it remains complex.
Finally, the study reveals an essential truth about innovation: it is an ongoing process marked by learning and adaptation. The flaws and uncertainties encountered are not setbacks but rather stepping stones toward a more refined and practical application of EEG technology. They remind us that in the quest to bring sophisticated health monitoring into our daily routines, patience and persistence are our greatest allies. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9149469
- author
- Clemensson, Petter LU
- supervisor
- organization
- alternative title
- Centrala aspekter av EEG-integrering i smarta enheter för depressionsbehandling i hemmet
- course
- BMEM01 20241
- year
- 2024
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- EEG, electroencephalogram, individual alpha frequency, transcranial electrical stimulation
- language
- English
- additional info
- 2024-03
- id
- 9149469
- date added to LUP
- 2024-03-19 11:33:56
- date last changed
- 2024-03-22 08:12:51
@misc{9149469,
abstract = {{Introduction: This thesis explores the integration of EEG into wearable devices, emphasizing its evolution from clinical to non-clinical settings and its significance in depression treatment. Method: Employing three EEG systems (Emotiv EPOC Flex, IDUN Guardian, and OpenBCI Cyton), the study investigates their efficacy in non-clinical environments. Experiments focused on optimal brain region identification for alpha frequency, impedance stability of dry electrodes, and the impact of saline pads on signal quality. Result: Results indicate considerable variations in EEG signal quality and alpha frequency distribution. Trial 1 with Emotiv EPOC Flex showcased wide-spread alpha activity across the scalp. Trial 2 demonstrated impedance stabilization in 15 minutes for dry electrodes. Trial 3 revealed distinct differences in signal quality and individual alpha frequency with saline pads in the OpenBCI Cyton setup. Conclusion: A synthesis of open questions and recommendations for future research in EEG technology integration into wearable devices is provided. It addresses key aspects such as the definition of individual alpha frequency, electrode positioning, electrode-skin connection quality, precision in IAF estimation, and development of artifact-handling pipelines.}},
author = {{Clemensson, Petter}},
language = {{eng}},
note = {{Student Paper}},
title = {{Key Aspects of EEG Integration in Wearable Devices for Depression Treatment: A Roadmap for Future Innovations}},
year = {{2024}},
}