Smart Phone Correlation Analysis of HRV Between PPG and ECG in a Person's Supine, Sitting and Standing Position
Huotari, Matti (2024-11-07)
IEEE
07.11.2024
M. Huotari, "Smart Phone Correlation Analysis of HRV Between PPG and ECG in a Person’s Supine, Sitting and Standing Position," 2024 IEEE 14th International Conference Nanomaterials: Applications & Properties (NAP), Riga, Latvia, 2024, pp. 1-4, doi: 10.1109/NAP62956.2024.10739703.
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202503272244
https://urn.fi/URN:NBN:fi:oulu-202503272244
Tiivistelmä
Abstract
Each finger-worn tracking device using photoplethysmogram, such as Corense sensor with Elite HRV, can provide a record of continuously measured sympathetic and parasympathetic nervous system activity through an analysis of inter beat intervals, the latter being correlated synchronously in real time. In the elderly, the data show exceptional properties compared with the younger subjects. We tested whether a finger-worn device can derive and describe diverse measures of heart rate and heart rate variability caused by autonomic functioning among young and elderly subjects using heart rate parameters.
Each finger-worn tracking device using photoplethysmogram, such as Corense sensor with Elite HRV, can provide a record of continuously measured sympathetic and parasympathetic nervous system activity through an analysis of inter beat intervals, the latter being correlated synchronously in real time. In the elderly, the data show exceptional properties compared with the younger subjects. We tested whether a finger-worn device can derive and describe diverse measures of heart rate and heart rate variability caused by autonomic functioning among young and elderly subjects using heart rate parameters.
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