Scalable Coding and Prioritized Transmission of ECG for Low-Latency Cardiac Monitoring Over Cellular M2M Networks | Zendy

Yongwoo Cho | Zendy; Heonshik Shin | Zendy; Kyungtae Kang | Zendy

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Scalable Coding and Prioritized Transmission of ECG for Low-Latency Cardiac Monitoring Over Cellular M2M Networks

Author(s) -

Yongwoo Cho,

Heonshik Shin,

Kyungtae Kang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2795028

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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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