A Novel Machine Learning-Based Framework for Human Vital Sleep Assessment with Optical Fiber Interferometer

Qing Wang; Weimin Lyu; Jing Zhou; Changyuan Yu

doi:10.1364/OFS.2023.Tu3.94

A Novel Machine Learning-Based Framework for Human Vital Sleep Assessment with Optical Fiber Interferometer

Qing Wang
, Weimin Lyu
, Jing Zhou
, Changyuan Yu

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

1 Citation (Scopus)

Abstract

Optical fiber sensor with fiber interferometer can obtain human vital signs signal more effectively and accurately. A novel machine learning model (PSVM) is proposed to monitor human sleep conditions better with the optical fiber sensor.

Original language	English
DOIs	https://doi.org/10.1364/OFS.2023.Tu3.94
Publication status	Published - Nov 2023
Event	28th International Conference on Optical Fiber Sensors, OFS 2023 - Naka-ku, Hamamatsu-shi, Japan Duration: 20 Nov 2023 → 24 Nov 2023

Conference

Conference	28th International Conference on Optical Fiber Sensors, OFS 2023
Country/Territory	Japan
City	Naka-ku, Hamamatsu-shi
Period	20/11/23 → 24/11/23

ASJC Scopus subject areas

General Computer Science
Electronic, Optical and Magnetic Materials
Space and Planetary Science
Control and Systems Engineering
Electrical and Electronic Engineering
Instrumentation
Atomic and Molecular Physics, and Optics

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10.1364/OFS.2023.Tu3.94

Cite this

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title = "A Novel Machine Learning-Based Framework for Human Vital Sleep Assessment with Optical Fiber Interferometer",

abstract = "Optical fiber sensor with fiber interferometer can obtain human vital signs signal more effectively and accurately. A novel machine learning model (PSVM) is proposed to monitor human sleep conditions better with the optical fiber sensor.",

author = "Qing Wang and Weimin Lyu and Jing Zhou and Changyuan Yu",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023, {\textcopyright} 2023 The Author(s); 28th International Conference on Optical Fiber Sensors, OFS 2023 ; Conference date: 20-11-2023 Through 24-11-2023",

year = "2023",

month = nov,

doi = "10.1364/OFS.2023.Tu3.94",

language = "English",

}

A Novel Machine Learning-Based Framework for Human Vital Sleep Assessment with Optical Fiber Interferometer. / Wang, Qing; Lyu, Weimin; Zhou, Jing et al.
2023. Paper presented at 28th International Conference on Optical Fiber Sensors, OFS 2023, Naka-ku, Hamamatsu-shi, Japan.

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

TY - CONF

T1 - A Novel Machine Learning-Based Framework for Human Vital Sleep Assessment with Optical Fiber Interferometer

AU - Wang, Qing

AU - Lyu, Weimin

AU - Zhou, Jing

AU - Yu, Changyuan

PY - 2023/11

Y1 - 2023/11

N2 - Optical fiber sensor with fiber interferometer can obtain human vital signs signal more effectively and accurately. A novel machine learning model (PSVM) is proposed to monitor human sleep conditions better with the optical fiber sensor.

AB - Optical fiber sensor with fiber interferometer can obtain human vital signs signal more effectively and accurately. A novel machine learning model (PSVM) is proposed to monitor human sleep conditions better with the optical fiber sensor.

UR - https://www.scopus.com/pages/publications/85192185050

U2 - 10.1364/OFS.2023.Tu3.94

DO - 10.1364/OFS.2023.Tu3.94

M3 - Conference presentation (not published in journal/proceeding/book)

AN - SCOPUS:85192185050

T2 - 28th International Conference on Optical Fiber Sensors, OFS 2023

Y2 - 20 November 2023 through 24 November 2023

ER -

A Novel Machine Learning-Based Framework for Human Vital Sleep Assessment with Optical Fiber Interferometer

Abstract

Conference

ASJC Scopus subject areas

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