RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis

Hossein Tayebi; Shonali Krishnaswamy; Augustinus Borgy Waluyo; Abhijat Sinha; Mohamed Medhat Gaber

doi:10.1109/MDM.2011.67

RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis

Hossein Tayebi^*, Shonali Krishnaswamy, Augustinus Borgy Waluyo, Abhijat Sinha, Mohamed Medhat Gaber

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Citations (Scopus)

Original language	English
Title of host publication	Proceedings - 2011 12th IEEE International Conference on Mobile Data Management, MDM 2011
Pages	289-290
Number of pages	2
DOIs	https://doi.org/10.1109/MDM.2011.67
Publication status	Published (VoR) - 2011
Event	2011 12th IEEE International Conference on Mobile Data Management, MDM 2011 - Lulea, Sweden Duration: 6 Jun 2011 → 9 Jun 2011

Publication series

Name	Proceedings - IEEE International Conference on Mobile Data Management
Volume	1
ISSN (Print)	1551-6245

Conference

Conference	2011 12th IEEE International Conference on Mobile Data Management, MDM 2011
Country/Territory	Sweden
City	Lulea
Period	6/06/11 → 9/06/11

Keywords

ECG
Mobile Devices
Time Series

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10.1109/MDM.2011.67

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Tayebi, H., Krishnaswamy, S., Waluyo, A. B., Sinha, A., & Gaber, M. M. (2011). RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis. In Proceedings - 2011 12th IEEE International Conference on Mobile Data Management, MDM 2011 (pp. 289-290). Article 6068450 (Proceedings - IEEE International Conference on Mobile Data Management; Vol. 1). https://doi.org/10.1109/MDM.2011.67

@inproceedings{e0ed4a759d564bb29d26bee7bbef14d7,

title = "RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis",

keywords = "ECG, Mobile Devices, Time Series",

author = "Hossein Tayebi and Shonali Krishnaswamy and Waluyo, {Augustinus Borgy} and Abhijat Sinha and Gaber, {Mohamed Medhat}",

year = "2011",

doi = "10.1109/MDM.2011.67",

language = "English",

isbn = "9780769544366",

series = "Proceedings - IEEE International Conference on Mobile Data Management",

pages = "289--290",

booktitle = "Proceedings - 2011 12th IEEE International Conference on Mobile Data Management, MDM 2011",

note = "2011 12th IEEE International Conference on Mobile Data Management, MDM 2011 ; Conference date: 06-06-2011 Through 09-06-2011",

}

Tayebi, H, Krishnaswamy, S, Waluyo, AB, Sinha, A & Gaber, MM 2011, RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis. in Proceedings - 2011 12th IEEE International Conference on Mobile Data Management, MDM 2011., 6068450, Proceedings - IEEE International Conference on Mobile Data Management, vol. 1, pp. 289-290, 2011 12th IEEE International Conference on Mobile Data Management, MDM 2011, Lulea, Sweden, 6/06/11. https://doi.org/10.1109/MDM.2011.67

RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis. / Tayebi, Hossein; Krishnaswamy, Shonali; Waluyo, Augustinus Borgy et al.
Proceedings - 2011 12th IEEE International Conference on Mobile Data Management, MDM 2011. 2011. p. 289-290 6068450 (Proceedings - IEEE International Conference on Mobile Data Management; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - RA-SAX

T2 - 2011 12th IEEE International Conference on Mobile Data Management, MDM 2011

AU - Tayebi, Hossein

AU - Krishnaswamy, Shonali

AU - Waluyo, Augustinus Borgy

AU - Sinha, Abhijat

AU - Gaber, Mohamed Medhat

PY - 2011

Y1 - 2011

KW - ECG

KW - Mobile Devices

KW - Time Series

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U2 - 10.1109/MDM.2011.67

DO - 10.1109/MDM.2011.67

M3 - Conference contribution

AN - SCOPUS:82055185235

SN - 9780769544366

T3 - Proceedings - IEEE International Conference on Mobile Data Management

SP - 289

EP - 290

BT - Proceedings - 2011 12th IEEE International Conference on Mobile Data Management, MDM 2011

Y2 - 6 June 2011 through 9 June 2011

ER -

RA-SAX: Resource-aware symbolic aggregate approximation for mobile ECG analysis

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