Vedangi Ajay Gander, Digvijay Shankar Bhoslae
Volume 2 Special Issue 1 (Feb) 2025, Article 19 (pp.48-49)
Key Points
Question:
How effective are wearable neurotechnology’s in tracking sleep and cognitive health in neurological patients? Can wearable devices aid in the early detection and management of neurological disorders? What are the challenges associated with integrating wearable data into clinical workflows?
Findings:
Transcranial electrical stimulation (tES) improves sleep onset latency and overall sleep quality in insomnia patients. Fitness trackers can detect early signs of Alzheimer’s disease by identifying distinct activity patterns.
Meaning:
Wearable neurotechnology provides a non-invasive and accessible tool for tracking sleep and cognitive health. These devices hold promise for early detection and continuous monitoring of neurological disorders.
Abstract
Importance:
In the past a decade wearable neurotechnology has become a revolutionary tool for tracking sleep and cognitive function in neurologically deficit patients. By providing an accessible and non-invasive way to collect important information about behaviour and neural activity outside clinical settings.
Objective:
The main aim of this study is to determine the use of wearable devices in monitoring sleep and mental health in neurological disorders.
Evidence Review:
A systematic review conducted on Science Direct, PubMed and Google Scholar databases. A total of 11 articles were reviewed, dated from the years 2020 to 2024. Inclusion criteria involved any type of study which examines the wearable devices used for patients with Insomnia, Alzheimer’s and Parkinson’s diseases. The PCC framework was used for quality assessment of the articles.
Findings:
Transcranial electrical stimulation (tES) devices have been shown in studies to successfully lower sleep onset latency and enhance overall sleep quality in people with insomnia. A further finding was that, even before clinical symptoms manifest, fitness trackers could identify distinct activity patterns in people with brain beta amyloid proteins, a defining feature of Alzheimer’s disease. When paired with an iPhone, consumer gadgets such as the Apple Watch can identify changes in Parkinson symptoms over time in people who are still in the early stages of the disease, according to another research.
Conclusions and Relevance:
This study examines the latest developments in wearable neurotechnology, emphasizing its uses, advantages, and drawbacks in the diagnosis and treatment of neurological conditions.
Important issues like accuracy, data privacy, and integrating wearable data into clinical workflows are also covered, highlighting the necessity of additional study and regulatory frameworks.