TY - GEN
T1 - Auricheck
T2 - 47th Mexican Conference on Biomedical Engineering, CNIB 2024
AU - Díaz, Jhoana Olenka Rodriguez
AU - Luna, Isabel Andrea León
AU - Torres, Angie Milagros Díaz
AU - Huané, Leslie Yessenia Cieza
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Cardiovascular diseases cause around 30% of global deaths, with atrial fibrillation (AF) being the most common chronic arrhythmia. Affecting over 33 million people worldwide, AF prevalence increases with age, particularly in those over 80. In Peru, the lack of early detection tools at the primary care level complicates AF management, especially in resource-limited areas. Despite its prevalence, AF often goes undiagnosed, increasing the risk of complications like stroke. This study introduces AuriCheck, a portable and affordable device designed for early AF detection in patients over 65 in Peru’s primary care system. AuriCheck uses three cardiac leads and a signal processing algorithm to detect key features like R peaks and P waves, validated against the MS400 simulator and the PhysioNet database. The device is compact, easy to use, and transmits data wirelessly for real-time monitoring. AuriCheck fills the gap in AF screening, offering a scalable solution for underserved areas, improving early diagnosis and preventing AF-related complications.
AB - Cardiovascular diseases cause around 30% of global deaths, with atrial fibrillation (AF) being the most common chronic arrhythmia. Affecting over 33 million people worldwide, AF prevalence increases with age, particularly in those over 80. In Peru, the lack of early detection tools at the primary care level complicates AF management, especially in resource-limited areas. Despite its prevalence, AF often goes undiagnosed, increasing the risk of complications like stroke. This study introduces AuriCheck, a portable and affordable device designed for early AF detection in patients over 65 in Peru’s primary care system. AuriCheck uses three cardiac leads and a signal processing algorithm to detect key features like R peaks and P waves, validated against the MS400 simulator and the PhysioNet database. The device is compact, easy to use, and transmits data wirelessly for real-time monitoring. AuriCheck fills the gap in AF screening, offering a scalable solution for underserved areas, improving early diagnosis and preventing AF-related complications.
KW - arrhythmias
KW - atrial fibrillation
KW - biomedical devices
KW - Cardiovascular diseases
KW - elderly patients
UR - http://www.scopus.com/inward/record.url?scp=85216639063&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-82126-4_25
DO - 10.1007/978-3-031-82126-4_25
M3 - Conference contribution
AN - SCOPUS:85216639063
SN - 9783031821257
T3 - IFMBE Proceedings
SP - 257
EP - 265
BT - 47th Mexican Conference on Biomedical Engineering - Proceedings of CNIB 2024, Biomechanics, Rehabilitation and Clinical Engineering
A2 - Flores Cuautle, José de Jesús Agustín
A2 - Benítez-Mata, Balam
A2 - Reyes-Lagos, José Javier
A2 - Hernandez Acosta, Humiko Yahaira
A2 - Ames Lastra, Gerardo
A2 - Zuñiga-Aguilar, Esmeralda
A2 - Del Hierro-Gutierrez, Edgar
A2 - Salido-Ruiz, Ricardo Antonio
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 7 November 2024 through 9 November 2024
ER -