Call for Papers : Volume 11, Issue 04, April 2024, Open Access; Impact Factor; Peer Reviewed Journal; Fast Publication

Holter ecg big data project: Allostatic state mapping by ambulatory ecg repository (allstar)

Holter electrocardiography (ECG) is the most successful bio-signal monitoring during daily activities. There is no other example in the history of human beings that such long-term, well-standardized physiological data were globally corrected. To utilize this precious information resource, the Allostatic State Mapping by Ambulatory ECG Repository (ALLSTAR) project has started since 2007 in Japan. The purpose of the project is to build a cumulative database of 24-h ambulatory ECG recorded all over Japan, which were anonymized and stored with age, sex, and recording date, time, and location (postal code). Tri-axial acceleration data have also been added since December 2010.At present, a total of 301,848 data has been collected from 140,144 males and 161,704 females, along with 46,114 body acceleration data. The data distributed over all ages from 0 to >100 years (median age [5-95 percentile range], 69 [26-87] yr), all prefectures in Japan, and all months of years. The basic rhythm of ECG was sinus rhythm in 253,673 (84.0%) and persistent a trial fibrillation in 17,159 (5.7%). The analyses of the database not only provided the age and sex reference values of dynamic ECG, particularly the indices of heart rate variability, but also revealed the factors associated with their variances, including physical activities of the day and the natural and social environments of the place of monitoring.

Author: 
Junichiro Hayano, Ken Kiyono, Emi Yuda, BS, Yoshiharu Yamamoto and Itsuo Kodama
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