Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Experimental low cost reflective type oximeter for wearable health systems
Publication

Publications

Experimental low cost reflective type oximeter for wearable health systems

Title
Experimental low cost reflective type oximeter for wearable health systems
Type
Article in International Scientific Journal
Year
2017
Authors
Rodrigues, EMG
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Godina, R
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Cabrita, CMP
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 31
Pages: 419-433
ISSN: 1746-8094
Publisher: Elsevier
Other information
Authenticus ID: P-00K-W8F
Abstract (EN): The advent of wearable technology is fundamental to the dissemination of wearable personal health monitoring devices. Recent developments of biomedical sensors have decreased the form factor and power consumption that can be worn on a permanent basis. This paper discusses a low cost reflective photoplethysmography (PPG) system using a dedicated integrated circuit (IC) solution as the core of a wearable health monitoring device. The measurement of two physiological indicators is performed, namely the pulse rate (HR) and the blood oxygen saturation (SpO(2)). The paper analyses in depth the PPG signals sensing architecture, guaranteeing high resolution measurements due to a delta-sigma analog to digital conversion unit. Post-processing digital filter operations are implemented to enhance low noise PPGs acquisition for physiological signals extraction. A complete system design is presented and a detailed evaluation is made in a real-time processing scenario. The test platform is completed with a PC based graphics application for on-line and off-line data analysis. Minimizing power dissipation is the main challenge in,a wearable design. However, it restrains PPG signal measurement sensitivity by lowering signal quality. Using the developed prototype power consumption, studies concerning the characterization of power consumption and signal quality over various working conditions are performed. Next, a performance merit figure is proposed as the main research contribution, which addresses the power consumption and signal quality trade-off subject. It aims to be used as an analysis for trade-offs between these two conflicting design criteria.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 15
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same authors

Novel Methodology for Integrated Analog Front-End Signal Processing Blocks Based Portable Multifunctional Sensor for Biomedical Applications (2016)
Article in International Conference Proceedings Book
Cruz, DF; Rodrigues, EMG; Godina, R; Cabrita, CMP; Matias, JCO; Catalao, JPS
Innovative Experimental Low Cost Electronics Operated Instrumentation for Wearable Health Systems with High Resolution Physiological Measurements (2016)
Article in International Conference Proceedings Book
Cruz, DF; Rodrigues, EMG; Godina, R; Cabrita, CMP; Matias, JCO; Catalao, JPS

Of the same journal

Time domain baroreflex sensitivity assessment by joint analysis of spontaneous SBP and RR series (2009)
Article in International Scientific Journal
Sonia Gouveia; Ana Paula Rocha; Pablo Laguna; Pedro Lago
The harmonic and noise information of the glottal pulses in speech (2014)
Article in International Scientific Journal
Ricardo Sousa; Aníbal Ferreira; Alku, P
Novel approach for fetal heart rate classification introducing grammatical evolution (2007)
Article in International Scientific Journal
Georgoulas, G; Gavrilis, D; Tsoulosc, IG; Stylios, C; Joao Bernardes; Groumpos, PP
Human knee abnormality detection from imbalanced sEMG data (2021)
Article in International Scientific Journal
Ankit Vijayvargiya; Chandra Prakash; Rajesh Kumar; Sanjeev Bansal; João Manuel R. S. Tavares
Comparison of machine learning strategies for infrared thermography of skin cancer (2021)
Article in International Scientific Journal
Carolina Magalhães; João Manuel R. S. Tavares; Joaquim Mendes; Ricardo Vardasca

See all (8)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-28 at 22:45:48 | Privacy Policy | Personal Data Protection Policy | Whistleblowing