Zobrazeno 1 - 10
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pro vyhledávání: '"Priyanka Bera"'
Autor:
Rajarshi Gupta, Priyanka Bera
Publikováno v:
IETE Technical Review. 39:207-218
In this paper, we describe a multi-lead electrocardiogram (MECG) compression technique, which preserves pathological information in different affected leads while achieving high overall compression...
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:2084-2092
In long-term electrocardiogram (ECG) recording for arrhythmia monitoring, using a uniform compression strategy throughout the entire data to achieve high compression efficiency may result in unacceptable distortion of abnormal beats. The presented wo
Autor:
Rajarshi Gupta, Priyanka Bera
Publikováno v:
2019 IEEE Region 10 Symposium (TENSYMP).
Computerized detection and monitoring of arrhythmia, or irregular heartbeats using electrocardiogram (ECG) is a typical pattern recognition problem and has been under research from decades. The challenge is mainly with universality of features and th
Autor:
Priyanka Bera, Rajarshi Gupta
Publikováno v:
Measurement. 91:651-660
Tele-healthcare systems have shown a great promise toward flexibility in wireless medical signal collection and increased mobility of the patient to achieve early diagnosis. We describe a simple, lossy compression algorithm for single lead Electrocar
Publikováno v:
2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT).
We propose a new compression technique which exploits the high correlations between the consecutive beats of an Electrocardiogram (ECG). A single progressive average beat (PAB) and residues were computed from every 10 ECG beats and subjected to compr
Autor:
Rajarshi Gupta, Priyanka Bera
Publikováno v:
2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI).
Electrocardiogram (ECG) compression for patient monitoring is a pre-requisite for efficient utilization of the communication link. Few recent works using delta encoding adopted fixed length symbols were analyzed, and we found that their bits per samp
Autor:
Priyanka Bera, Rajarshi Gupta
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15bb17a3150211c70e651e35d713ea24
http://www.scopus.com/inward/record.url?eid=2-s2.0-85018627035&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85018627035&partnerID=MN8TOARS
Autor:
Bera, Priyanka, Jana, Ujjwal
Publikováno v:
English Studies in India; Dec2022, Issue 29, p198-201, 4p
Publikováno v:
Molecular Reproduction & Development; Feb2023, Vol. 90 Issue 2, p109-126, 18p
Autor:
Bera, Priyanka, Gupta, Rajarshi
Publikováno v:
IETE Technical Review; Jan/Feb2022, Vol. 39 Issue 1, p207-218, 12p