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Nonvolatile memories as the data storage system for implantable ecg recorder

Publication ,  Journal Article
Sun, Z; Chen, X; Zhang, Y; Li, H; Chen, Y
Published in: ACM Journal on Emerging Technologies in Computing Systems
June 1, 2012

In this article, we propose a data storage systemwith the emerging nonvolatilememory technologies used for the implantable electrocardiography (ECG) recorder. The proposed storage system can record the digitalized real-time ECG waveforms continuously inside the implantable device and export the stored data to external reader periodically to obtain a long-term backup. Spin transfer torque random access memory (STT-RAM) and spintronic memristor are selected as the storage elements for their nonvolatility, high density, high reliability, low power consumption, good scalability, and CMOS technology compatibility. The new read and write schemes of STT-RAM and spintronic memristors are presented and optimized to fit the specific application scenario. The tradeoffs among data accuracy, chip area, and read/write energy for the different technologies are thoroughly analyzed and compared. Our simulation results show the configuration with a data sampling rate (e.g., 128 Hz) and a quantization resolution (e.g., 12 bits) can record 18-hour real-time data within ∼ 3.6-mm2 chip area when the data storage is built with single-level cell (SLC) STT-RAMs. Daily energy consumption is 5.46 mJ. Utilizing the multilevel cell (MLC) STT-RAMs or the spintronic memristors as the storage elements can further reduce the chip area and decrease energy dissipation. © 2012 ACM.

Duke Scholars

Published In

ACM Journal on Emerging Technologies in Computing Systems

DOI

EISSN

1550-4840

ISSN

1550-4832

Publication Date

June 1, 2012

Volume

8

Issue

2

Related Subject Headings

  • Computer Hardware & Architecture
  • 4606 Distributed computing and systems software
  • 1007 Nanotechnology
  • 1006 Computer Hardware
  • 0906 Electrical and Electronic Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Sun, Z., Chen, X., Zhang, Y., Li, H., & Chen, Y. (2012). Nonvolatile memories as the data storage system for implantable ecg recorder. ACM Journal on Emerging Technologies in Computing Systems, 8(2). https://doi.org/10.1145/2180878.2180885
Sun, Z., X. Chen, Y. Zhang, H. Li, and Y. Chen. “Nonvolatile memories as the data storage system for implantable ecg recorder.” ACM Journal on Emerging Technologies in Computing Systems 8, no. 2 (June 1, 2012). https://doi.org/10.1145/2180878.2180885.
Sun Z, Chen X, Zhang Y, Li H, Chen Y. Nonvolatile memories as the data storage system for implantable ecg recorder. ACM Journal on Emerging Technologies in Computing Systems. 2012 Jun 1;8(2).
Sun, Z., et al. “Nonvolatile memories as the data storage system for implantable ecg recorder.” ACM Journal on Emerging Technologies in Computing Systems, vol. 8, no. 2, June 2012. Scopus, doi:10.1145/2180878.2180885.
Sun Z, Chen X, Zhang Y, Li H, Chen Y. Nonvolatile memories as the data storage system for implantable ecg recorder. ACM Journal on Emerging Technologies in Computing Systems. 2012 Jun 1;8(2).

Published In

ACM Journal on Emerging Technologies in Computing Systems

DOI

EISSN

1550-4840

ISSN

1550-4832

Publication Date

June 1, 2012

Volume

8

Issue

2

Related Subject Headings

  • Computer Hardware & Architecture
  • 4606 Distributed computing and systems software
  • 1007 Nanotechnology
  • 1006 Computer Hardware
  • 0906 Electrical and Electronic Engineering