Literature DB >> 30307850

A Wearable Pulse Oximeter With Wireless Communication and Motion Artifact Tailoring for Continuous Use.

Pedro J Chacon, Tallis H da Costa, Taher Ghomian, Hamed Shamkhalichenar, Brian A Irving.   

Abstract

Advances in several engineering fields have led to a trend toward miniaturization and portability of wearable biosensing devices, which used to be confined to large tools and clinical settings. Various systems to continuously measure electrophysiological activity through electrical and optical methods are one category of such devices. Being wearable and intended for prolonged use, the amount of noise introduced on sensors by movement remains a challenge and requires further optimization. User movement causes motion artifacts that alter the overall quality of the signals obtained, hence corrupting the resulting measurements. This paper introduces a fully wearable optical biosensing system to continuously measure pulse oximetry and heart rate, utilizing a reflectance-based probe. Furthermore, a novel data-dependent motion artifact tailoring algorithm is implemented to eliminate noisy data due to the motion artifact and measure oxygenation level with high accuracy in real time. By taking advantages of current wireless transmission and signal processing technologies, the developed wearable photoplethysmography device successfully captures the measured signals and sends them wirelessly to a mobile device for signal processing in real time. After applying motion artifact tailoring, evaluating accuracy with a continuous clinical device, the blood oxygenation measurements obtained from our system yielded an accuracy of at least 98%, when compared to a range of 93.6%-96.7% observed before from the same initial data. Additionally, heart rate accuracy above 97% was achieved. Motion artifact tailoring and removal in real time, continuous systems will allow wearable devices to be truly wearable and a reliable electrophysiological monitoring and diagnostics tool for everyday use.

Mesh:

Substances:

Year:  2018        PMID: 30307850     DOI: 10.1109/TBME.2018.2874885

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

Review 1.  Wearables in Cardiovascular Disease.

Authors:  Sanchit Kumar; Angela M Victoria-Castro; Hannah Melchinger; Kyle D O'Connor; Mitchell Psotka; Nihar R Desai; Tariq Ahmad; F Perry Wilson
Journal:  J Cardiovasc Transl Res       Date:  2022-09-09       Impact factor: 3.216

Review 2.  Communication Requirements in 5G-Enabled Healthcare Applications: Review and Considerations.

Authors:  Haneya Naeem Qureshi; Marvin Manalastas; Aneeqa Ijaz; Ali Imran; Yongkang Liu; Mohamad Omar Al Kalaa
Journal:  Healthcare (Basel)       Date:  2022-02-02

Review 3.  Remote Healthcare for Elderly People Using Wearables: A Review.

Authors:  José Oscar Olmedo-Aguirre; Josimar Reyes-Campos; Giner Alor-Hernández; Isaac Machorro-Cano; Lisbeth Rodríguez-Mazahua; José Luis Sánchez-Cervantes
Journal:  Biosensors (Basel)       Date:  2022-01-27

4.  Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network.

Authors:  Baoying Wang
Journal:  J Healthc Eng       Date:  2022-01-25       Impact factor: 2.682

5.  New pulse oximetry detection based on the light absorbance ratio as determined from amplitude modulation indexes in the time and frequency domains.

Authors:  Pattana Kainan; Ananta Sinchai; Panwit Tuwanut; Paramote Wardkein
Journal:  Biomed Signal Process Control       Date:  2022-03-11       Impact factor: 5.076

  5 in total

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