Brain monitoring technologies in neuroscience clinical research- Significant potential with the advancement of remote monitoring through the use of sensors, wearable devices, and mobile technology
TEJAS SACHIN CHOUGULE
Introduction:
The advancement in the miniaturization and cost-effectiveness of sensors and circuitry has driven innovation in wearable and microsensor technologies for health monitoring. These developments enable the creation of devices capable of measuring complex health parameters in non-specialist and remote environments. In this article, we explore various innovations in brain monitoring, including portable and wearable devices for direct measurement of brain electrical activity, as well as tools that assess related functions such as sleep patterns, gait, cognition, voice acoustics, and gaze tracking. Although further scientific validation is necessary, we suggest that the current understanding of these methods is sufficient to consider them as exploratory tools in clinical research. The extensive and frequent data they generate could offer valuable insights, justifying their inclusion in clinical study designs.
Understanding brain function is an incredibly complex task. As Emerson M. Pugh famously remarked, "If our brains were simple enough to understand, we’d be so simple that we couldn’t comprehend them." Given this complexity, a range of tools have been developed to assess various aspects of brain activity. These tools include direct measures of brain function, such as electroencephalography (EEG), as well as indirect measures like sleep patterns, gait, cognition, and gaze analysis.
This blog delves into the rapidly growing field of remote-monitoring sensors, wearable devices, and mHealth (mobile health, which involves using mobile devices like smartphones and tablets in healthcare). It explores how these technologies can be harnessed for large-scale clinical trials and patient monitoring, extending their utility beyond just market approval.
