ASTHMA DETECTION IN SMARTWATCH
HARSHNI R
, DEOLIN RENISHA J , HAHINI G , LATCHAKA G , RABIKA G
IoT(Internet of Things), Asthma, Smartwatch, Biometric sensors, Data analysis, Machine learning, Symptom tracking, Remote monitoring
-Asthma is a chronic respiratory disease that affects
millions of individuals throughout the world, and early detection
and management of symptoms is critical for improving patient
outcomes. Smartwatches have emerged as a promising tool for
continuous asthma monitoring and detection. In this study, we
investigate the use of smartwatch data for asthma identification
and create a machine learning algorithm to classify people as
asthmatic or not based on physiological factors. The system
detected asthma with an accuracy of 85%, suggesting its potential
as a real-time monitoring tool for asthma therapy. Smartwatches
for asthma detection provide various benefits, including
continuous monitoring, remote monitoring by healthcare
practitioners, and enhanced patient engagement. This study shows
that smartwatches have the potential to improve asthma diagnosis
and management, but more research is needed to optimize these
algorithms for practical usage.
Volume 11
Issue 2,
February-2024
Pages : 872-875
Paper Reg. ID: TIJER_151089
Published Paper Id: TIJERB001137
Downloads: 000288
Research Area: Science and Technology
Country: THIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
