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Record
Title
Self-supervised representation learning from electrocardiogram data for medical applications
Type
Student Paper
Publ. year
2023
Author/s
Andersson, Matilda
Department/s
Mathematics (Faculty of Engineering)
In LUP since
2023-05-10
Downloads

Total This Year This Month
964 576 27
 Downloads per Country

United States of America
300 (31%)
China
190 (20%)
Sweden
63 (7%)
United Kingdom of Great Britain and Northern Ireland
36 (4%)
France
31 (3%)
Germany
27 (3%)
Brazil
27 (3%)
India
18 (2%)
South Korea
16 (2%)
Singapore
15 (2%)
Unknown
14 (1%)
Colombia
13 (1%)
Mexico
13 (1%)
Switzerland
12 (1%)
Indonesia
11 (1%)
Russian Federation
11 (1%)
Viet Nam
10 (1%)
Hong Kong (China)
9 (1%)
Norway
9 (1%)
Japan
7 (1%)
Spain
7 (1%)
Taiwan (China)
6 (1%)
Canada
6 (1%)
South Africa
5 (1%)
Netherlands (Kingdom of the)
5 (1%)
Turkiye
5 (1%)
Bangladesh
4 (0%)
Ukraine
4 (0%)
Philippines
4 (0%)
United Arab Emirates
4 (0%)
Poland
4 (0%)
Ecuador
3 (0%)
Greece
3 (0%)
Australia
3 (0%)
Slovakia
3 (0%)
Paraguay
3 (0%)
Kazakhstan
3 (0%)
Iran
3 (0%)
Algeria
3 (0%)
Italy
3 (0%)
Finland
3 (0%)
New Zealand
3 (0%)
Argentina
3 (0%)
Malaysia
3 (0%)
Romania
3 (0%)
Peru
2 (0%)
Thailand
2 (0%)
Chile
2 (0%)
Albania
2 (0%)
Qatar
1 (0%)
Egypt
1 (0%)
Serbia
1 (0%)
Austria
1 (0%)
Saudi Arabia
1 (0%)
Moldova, The Republic of
1 (0%)
Syrian Arab Republic
1 (0%)
Cambodia
1 (0%)
Togo
1 (0%)
Kyrgyzstan
1 (0%)
Panama
1 (0%)
Denmark
1 (0%)
Ethiopia
1 (0%)
Latvia
1 (0%)
Cameroon
1 (0%)
Croatia
1 (0%)
Georgia
1 (0%)
Tunisia
1 (0%)
Nicaragua
1 (0%)
Kenya
1 (0%)
Iraq
1 (0%)
Oman
1 (0%)
Hungary
1 (0%)
Nigeria
1 (0%)
Morocco
1 (0%)
Kuwait
1 (0%)
Belarus
1 (0%)
Lithuania
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-10-20 07:02:02