Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Bharti Title A name given to the resource Leadership and Performance Evaluation Strategies for Remote Healthcare Teams in the Digital Era: Effective Leadership in Remote Healthcare Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Design, Development, and Deployment of Cutting-Edge Medical Devices;pp.101-136 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-8598-2.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-8598-2.ch005</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105006564588?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006564588?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh B., Christ University, India Description An account of the resource Electroencephalography (EEG)- based Brain- Computer Interface (BCI) technology has appeared as a promising path for healthcare, contributing to novel solutions for detecting, treating, and dealing with neurological conditions. By capturing and construing the electrical activities of brain signals, EEG- based BCIs empow er direct brain communication with external devices, circumventing traditional neural conduits. This chapter delves into the progress of EEG- based BCI devices, emphasizing their implication in healthcare, the technical challenges tangled, and their potential to transform patient care. The key objective is to deliver a detailed exploration of the development procedure of EEG- based BCI devices, emphasizing their applications in healthcare. The chapter includes the principles of EEG signal acquisition, the design and engineering of BCI systems, the employment of machine learning algorithms for signal decoding, and the clinical validation required for medical use. Moreover, it will discuss the prospective effect of these devices on healthcare and future research directions. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836938600-2; 979-836938598-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online