@inproceedings{843603ec8f5a4c42b85397fae1c24ca8,
title = "Quality of Service Management in Wearable Heart Rate Measurement",
abstract = "This paper presents a quality of management (QoS) scheme for wearable heart rate monitor utilizing photoplethysmogram (PPG). One of the major challenges of enhancing heart rate measurement accuracy in a wearable consumer healthcare device is to compensate for the motion artifacts of the wrist. This paper proposes a neural network based detection methodology that reduces the impact of motion for heart rate monitoring.",
keywords = "ECG, health monitoring, neural network, telemedicine",
author = "Luk, {T. H.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd IEEE International Workshop on System Biology and Biomedical Systems, SBBS 2020 ; Conference date: 03-12-2020 Through 04-12-2020",
year = "2020",
month = dec,
doi = "10.1109/SBBS50483.2020.9314862",
language = "English",
series = "2020 2nd IEEE International Workshop on System Biology and Biomedical Systems, SBBS 2020",
booktitle = "2020 2nd IEEE International Workshop on System Biology and Biomedical Systems, SBBS 2020",
}