Short Communication - (2025) Volume 16, Issue 1
Received: 01-Feb-2025, Manuscript No. jbsbe-25-168689;
Editor assigned: 03-Feb-2025, Pre QC No. P-168689;
Reviewed: 15-Feb-2025, QC No. Q-168689;
Revised: 20-Feb-2025, Manuscript No. R-168689;
Published:
28-Feb-2025
, DOI: 10.37421/2165-6210.2025.16.489
Citation: Moussa, Saeed. “Multifunctional Wearable Devices for Seamless Health Surveillance.” J Biosens Bioelectron 16 (2025): 489.
Copyright: © 2025 Moussa S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Multifunctional wearable devices typically integrate a suite of biosensors into a compact, flexible platform that can be worn on the skin, embedded in textiles, or attached to accessories like watches, glasses and rings. These sensors are capable of capturing a wide array of physiological signals, including Electro Cardio Grams (ECG), Electro Encephalo Grams (EEG), Electro Myo Grams (EMG) and pulse oximetry, as well as biochemical signals such as lactate, cortisol and glucose levels. One of the most significant advances in this field is the use of stretchable electronics and bioresorbable materials, which allow devices to conform to the bodyâ??s natural movements without discomfort or signal degradation. This physical integration with the human body is essential for continuous, long-term monitoring. Beyond sensing, these devices also feature wireless data transmission via Bluetooth, Wi-Fi, or Near-Field Communication (NFC), ensuring real-time communication with smartphones or cloud-based platforms. Furthermore, embedded algorithms based on machine learning enable predictive analytics, anomaly detection and personalized health recommendations. These functionalities make multifunctional wearables indispensable in managing chronic conditions like diabetes, cardiovascular disease and epilepsy, as well as in early detection of respiratory infections and stress-related disorders.
The ecosystem supporting wearable health devices is equally critical. It encompasses cloud infrastructure, data security protocols, user interfaces and clinician dashboards. For these devices to be truly impactful, the data they collect must be both interpretable and actionable. Therefore, seamless integration with Electronic Health Records (EHRs) and telehealth systems has become a priority. Startups and major tech companies alike are developing wearable platforms that provide not only raw data but also clinical-grade insights, alerts and feedback loops. For example, wearable ECG patches can detect arrhythmias and send alerts to patients and providers simultaneously, reducing response time and improving patient outcomes. Additionally, wearables with integrated drug-delivery mechanisms or therapeutic interventions such as controlled electrical stimulation for pain relief are beginning to emerge. These developments signify the move from passive data collection to active health management, closing the loop between monitoring, diagnosis and treatment [2].
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