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

Cho, Yongwoo; Shin, Hyundong; Kang, Kyungtae

doi:10.1109/access.2018.2795028

Cited by 6 publications

(3 citation statements)

References 42 publications

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“…Such requirements may rise performance degradation issues requiring costly mitigation measures. For example, for error reduction and enhancement of the quality of the time series ECG amplitude patterns, i.e., P, Q, R, S and T, in [24] authors use adaptive mapping process of the channel quality indicator (CQI) to enhance the quality of the ECG signal by reducing possible channel coding errors using conservative modulation and coding. However, the reduction of channel errors affects the throughput performance of the network due to bandwidth limitations.…”

Section: Signal Processingmentioning

confidence: 99%

“…Besides, scarce network resources increase channel utilization competition and collision probabilities leading to persistent link drop out, which raise network faults and affect WBAN reliability. Persisting network faults increases power requirement and therefore provide network power imbalance and performance degradation [24].…”

Section: Data Anomalies and Network Faultsmentioning

confidence: 99%

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Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

2021

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This study presents a survey of the current issues, application areas, findings, and performance challenges in wireless body area networks (WBAN). The survey discusses selected areas in WBAN signal processing, network reliability, spectrum management, security, and WBAN integration with other technologies for highly efficient future healthcare applications. The foundation of the study bases on the recent growing advances in microelectronic technology and commercialization, which ease device availability, miniaturization, and communication. The survey considers a systemic review conducted using reports, standard documents, and peer-reviewed articles. Based on the comprehensive review, we find WBANs faces several operational, standardization, and security issues, affecting performance and maintenance of user safety and privacy. We envision the increasing dependency of future healthcare on WBAN for medical and non-medical applications due to internet connectivity advances. In this view, despite the WBAN advantages in remote health monitoring, further studies need to be conducted for performance optimization. Therefore we finalize our study by proposing various current and future research directions and open issues in WBAN’s performance enhancement.

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Section: Signal Processingmentioning

confidence: 99%

Section: Data Anomalies and Network Faultsmentioning

confidence: 99%

Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

2021

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“…Additionally, for the 3rd Generation Partnership Project (3GPP), a proposition was placed forth to reduce latency on machine-type communication technology [7] .…”

Section: Introductionmentioning

confidence: 99%

Development of an Adaptive Acquisition and Transmission System for Digital Processing of ECG Signals under Variable n-QAM Schemes

Cárdenas-Valdez,

Ramírez-Arzate,

Corral-Domínguez

et al. 2023

Rev. Mex. Ing. Biomed.

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In the post-pandemic era, it is critical to monitor and transmit biomedical signals, specifically ECG. This study aims to develop a platform that enables signal acquisition, adaptation, and transmission using different n-QAM modulation schemes. The system comprises an acquisition stage implemented in the 2.5 GHz band employing the Olimex module and electrodes equipped with an Ag/AgCl type sensor. To effectively manage appropriate bandwidths during implementation of the various n-QAM modulation schemes, an adaptive algorithm was developed and applied to the system. The power amplifier was operated in the linear region to enhance the crest factor and achieve an ACPR close to 30 dBc, demonstrating an appropriate demodulation of the electrocardiogram (ECG) signal, it is feasible to shift to modulation schemes above 64-QAM in order to detect high frequencies and perform a subsequent Fourier analysis. As a telemedicine proposal, the developed system offers flexibility in signal acquisition, data storage, and digitalization, in addition to a multivariable n-QAM scheme; the hardware implementation ensures n-QAM scheme compatibility. For the purpose of contributing to telemedicine via RF transmission, the system was executed on an AD9361 transceiver, which removes the requirement for a traditional signal vector generator and enables optimal control of the tones to be transmitted.

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Wireless Body Sensor Networks: Applications, Challenges, Patient Monitoring, Decision Making, and Machine Learning in Medical Applications

Jaber

Idrees

2022

Lecture Notes on Data Engineering and Communications Technologies

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

Cited by 6 publications

References 42 publications

Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

Development of an Adaptive Acquisition and Transmission System for Digital Processing of ECG Signals under Variable n-QAM Schemes

Wireless Body Sensor Networks: Applications, Challenges, Patient Monitoring, Decision Making, and Machine Learning in Medical Applications

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