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A study on measuring heart- and respiration-rate via wrist-worn accelerometer-based seismocardiography (SCG) in comparison to commonly applied technologies

Published: 25 June 2015 Publication History

Abstract

Since the human body is a living organism, it emits various life signs which can be traced with an action potential sensitive electromyography, but also with motion sensitive sensors such as typical inertial sensors. In this paper, we present a possibility to recognize the heart rate (HR), respiration rate (RR), and the muscular microvibrations (MV) by an accelerometer worn on the wrist. We compare our seismocardiography (SCG) / ballistocardiography (BCG) approach to commonly used measuring methods. In conclusion, our study confirmed that SCG/BCD with a wrist-worn accelerometer also provides accurate vital parameters. While the recognized RR deviated slightly from the ground truth (SD=16.61%), the detection of HR is non-significantly different (SD=1.63%) to the gold standard.

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  1. A study on measuring heart- and respiration-rate via wrist-worn accelerometer-based seismocardiography (SCG) in comparison to commonly applied technologies

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        cover image ACM Other conferences
        iWOAR '15: Proceedings of the 2nd international Workshop on Sensor-based Activity Recognition and Interaction
        June 2015
        112 pages
        ISBN:9781450334549
        DOI:10.1145/2790044
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Publication History

        Published: 25 June 2015

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        Author Tags

        1. accelerometer
        2. heart rate
        3. respiration rate
        4. sensors
        5. smartwatch

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        • Research-article

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        • German Federal State of Mecklenburg-Western Pomerania and the European Social Fund

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        iWOAR '15

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        iWOAR '15 Paper Acceptance Rate 15 of 22 submissions, 68%;
        Overall Acceptance Rate 15 of 22 submissions, 68%

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        Cited By

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        • (2024)Heart Rate Measurement Using the Built-In Triaxial Accelerometer from a Commercial Digital Writing DeviceSensors10.3390/s2407223824:7(2238)Online publication date: 31-Mar-2024
        • (2024)Review of Stress Detection Methods Using Wearable SensorsIEEE Access10.1109/ACCESS.2024.337301012(38219-38246)Online publication date: 2024
        • (2024)High accurate detection method for aortic valve opening of seismocardiography signalsBiomedical Signal Processing and Control10.1016/j.bspc.2023.10548487(105484)Online publication date: Jan-2024
        • (2023)Robust Respiratory Rate Monitoring Using Smartwatch PhotoplethysmographyIEEE Internet of Things Journal10.1109/JIOT.2022.321981310:6(4830-4844)Online publication date: 15-Mar-2023
        • (2023)A study of human respiration rate through neutrosophic statisticsCognitive Intelligence with Neutrosophic Statistics in Bioinformatics10.1016/B978-0-323-99456-9.00021-0(173-187)Online publication date: 2023
        • (2022)Generating Alerts from Breathing Pattern OutliersSensors10.3390/s2216630622:16(6306)Online publication date: 22-Aug-2022
        • (2022)Abdominal Breathing Effect on Postural Stability and the Respiratory Muscles’ Activation during Body Stances Used in Fitness ModalitiesBiomechanics10.3390/biomechanics20300372:3(478-493)Online publication date: 12-Sep-2022
        • (2022)Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)10.1109/ICECS202256217.2022.9970856(1-4)Online publication date: 24-Oct-2022
        • (2022)TreMo: Continuous Vital Sign Monitoring Based on Subtle Intrinsic Tremors with COTS Mobile DevicesICC 2022 - IEEE International Conference on Communications10.1109/ICC45855.2022.9838855(5316-5321)Online publication date: 16-May-2022
        • (2021)disp2ppg: Pulse Wave Generation to PPG Sensor using DisplayProceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460421.3478823(119-123)Online publication date: 21-Sep-2021
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