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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 28, Number 4 (2016)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 341-348
S&M1184 Research Paper of Special Issue https://doi.org/10.18494/SAM.2016.1264 Published: April 20, 2016 Estimation of Heart Rate during Exercise from a Photoplethysmographic Signal Considering Exercise Intensity [PDF] Takahiro Hayashi and Tatsuya Ooi (Received October 26, 2015; Accepted February 15, 2016) Keywords: heart rate estimation, photoplethysmography (PPG) sensors, acceleration sensors, healthcare systems, smart sensing
Heart rate estimation during exercise with photoplethysmographic (PPG) sensors is a difficult problem because motion artifacts (MAs) contaminate PPG signals. In this paper, we propose a method of accurately estimating heart rate during exercise from a PPG signal by considering exercise intensity. The exercise intensity is estimated from acceleration signals simultaneously recorded with the PPG signal. The proposed method dynamically limits the estimation range of heart rate depending on the exercise intensity, resulting in an accurate heart rate estimation during exercise. From the experimental results, we have confirmed that the proposed method can estimate heart rate more accurately than conventional methods.
Corresponding author: Takahiro Hayashi Cite this article Takahiro Hayashi and Tatsuya Ooi, Estimation of Heart Rate during Exercise from a Photoplethysmographic Signal Considering Exercise Intensity, Sens. Mater., Vol. 28, No. 4, 2016, p. 341-348. |
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