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Scalable Coding and Prioritized Transmission of ECG for Low-Latency Cardiac Monitoring Over Cellular M2M Networksopen access
- Authors
- Cho, Yongwoo; Shin, Heonshik; Kang, Kyungtae
- Issue Date
- Jan-2018
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Biomedical telemetry; electrocardiography; Internet of Things; machine-to-machine communications; layered error protection
- Citation
- IEEE Access, v.6, pp 8189 - 8200
- Pages
- 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Access
- Volume
- 6
- Start Page
- 8189
- End Page
- 8200
- ISSN
- 2169-3536
- Abstract
- This paper reduces the delay in wireless transmission of electrocardiogram (ECG) data while protecting their essential elements to produce a clinically usable trace. The ECG data are divided into nine layers according to the signal amplitude resolution (6, 8, and 11 bits per sample) and sampling frequency (75, 300, and 2400 Hz). To avoid retransmission, each layer is delivered with a dynamic link adaptation scheme that provides the different levels of error protection in a forward error correction process according to layer importance. This scheme is built on the conservative modulation and coding, as well as on the machine-type communication (MTC) protocol, from LTE-Advanced. Simulations show that our proposed system delivers ECG data that sufficiently support a clinical diagnosis with significantly low latencies (less than 10 ms) under severely erroneous channel conditions.
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Related Researcher
- Cho, Yong woo
- ERICA 소프트웨어융합대학 (SCHOOL OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY)