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Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review.

作者信息

Almarshad Malak Abdullah, Islam Md Saiful, Al-Ahmadi Saad, BaHammam Ahmed S

机构信息

Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.

Computer Science Department, College of Computer and Information Sciences, Al-Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia.

出版信息

Healthcare (Basel). 2022 Mar 16;10(3):547. doi: 10.3390/healthcare10030547.


DOI:10.3390/healthcare10030547
PMID:35327025
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8950880/
Abstract

Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the current literature on diagnostic features of PPG signal and their applications that might present a potential venue to be adapted into many health and fitness aspects of human life. The research methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines 2020. To this aim, papers from 1981 to date are reviewed and categorized in terms of the healthcare application domain. Along with consolidated research areas, recent topics that are growing in popularity are also discovered. We also highlight the potential impact of using PPG signals on an individual's quality of life and public health. The state-of-the-art studies suggest that in the years to come PPG wearables will become pervasive in many fields of medical practices, and the main domains include cardiology, respiratory, neurology, and fitness. Main operation challenges, including performance and robustness obstacles, are identified.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/d12de7fe9d98/healthcare-10-00547-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/2e3ad945bccc/healthcare-10-00547-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/07518ceabbf9/healthcare-10-00547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/69a19b212495/healthcare-10-00547-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/aca40d393a63/healthcare-10-00547-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/0a0f1a6a0e52/healthcare-10-00547-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/d12de7fe9d98/healthcare-10-00547-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/2e3ad945bccc/healthcare-10-00547-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/07518ceabbf9/healthcare-10-00547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/69a19b212495/healthcare-10-00547-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/aca40d393a63/healthcare-10-00547-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/0a0f1a6a0e52/healthcare-10-00547-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114f/8950880/d12de7fe9d98/healthcare-10-00547-g005.jpg

相似文献

[1]
Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review.

Healthcare (Basel). 2022-3-16

[2]
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[5]
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[6]
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引用本文的文献

[1]
Experimental Analysis on the Effect of Contact Pressure and Activity Level as Influencing Factors in PPG Sensor Performance.

Sensors (Basel). 2025-7-18

[2]
Assessment of photoplethysmography-based blood pressure determinations during long-term and short-term remote cardiac monitoring: the RECAMO study.

Eur Heart J Digit Health. 2025-3-27

[3]
Continuous noninvasive blood pressure estimation using tissue blood flow measured by diffuse correlation spectroscopy.

APL Bioeng. 2025-7-21

[4]
Leveraging AI-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring.

NPJ Cardiovasc Health. 2025

[5]
The Impact of AI on the Development of Multimodal Wearable Devices in Musculoskeletal Medicine.

HSS J. 2025-6-11

[6]
Remote Photoplethysmography Technology for Blood Pressure and Hemoglobin Level Assessment in the Preoperative Assessment Setting: Algorithm Development Study.

JMIR Form Res. 2025-6-6

[7]
A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch.

Sci Data. 2025-5-28

[8]
Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study.

JMIR Res Protoc. 2025-4-28

[9]
A Deep Sparse Capsule Network for Non-Invasive Blood Glucose Level Estimation Using a PPG Sensor.

Sensors (Basel). 2025-3-18

[10]
Structure function in photoplethysmographic signal dynamics for physiological assessment.

Sci Rep. 2025-4-26

本文引用的文献

[1]
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms.

Bioengineering (Basel). 2022-11-15

[2]
Wearable Sensors for COVID-19: A Call to Action to Harness Our Digital Infrastructure for Remote Patient Monitoring and Virtual Assessments.

Front Digit Health. 2020-6-23

[3]
Deep Learning Methods for Remote Heart Rate Measurement: A Review and Future Research Agenda.

Sensors (Basel). 2021-9-20

[4]
Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning.

Sensors (Basel). 2021-9-8

[5]
iPPG 2 cPPG: Reconstructing contact from imaging photoplethysmographic signals using U-Net architectures.

Comput Biol Med. 2021-11

[6]
Measuring Heart Rate Variability Using Commercially Available Devices in Healthy Children: A Validity and Reliability Study.

Eur J Investig Health Psychol Educ. 2020-1-10

[7]
Analysis and improvement of non-contact SpO2 extraction using an RGB webcam.

Biomed Opt Express. 2021-7-23

[8]
A Review of Deep Learning-Based Contactless Heart Rate Measurement Methods.

Sensors (Basel). 2021-5-27

[9]
Robust non-contact peripheral oxygenation saturation measurement using smartphone-enabled imaging photoplethysmography.

Biomed Opt Express. 2021-3-1

[10]
PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews.

BMJ. 2021-3-29

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