Literature DB >> 26609385

Smartphone-based analysis of biochemical tests for health monitoring support at home.

Marina Velikova1, Ruben L Smeets2, Josien Terwisscha van Scheltinga3, Peter J F Lucas1, Marc Spaanderman4.   

Abstract

In the context of home-based healthcare monitoring systems, it is desirable that the results obtained from biochemical tests - tests of various body fluids such as blood and urine - are objective and automatically generated to reduce the number of man-made errors. The authors present the StripTest reader - an innovative smartphone-based interpreter of biochemical tests based on paper-based strip colour using image processing techniques. The working principles of the reader include image acquisition of the colour strip pads using the camera phone, analysing the images within the phone and comparing them with reference colours provided by the manufacturer to obtain the test result. The detection of kidney damage was used as a scenario to illustrate the application of, and test, the StripTest reader. An extensive evaluation using laboratory and human urine samples demonstrates the reader's accuracy and precision of detection, indicating the successful development of a cheap, mobile and smart reader for home-monitoring of kidney functioning, which can facilitate the early detection of health problems and a timely treatment intervention.

Entities:  

Keywords:  biochemical tests; body fluids; camera phone; colour strip pads; early health problem detection; health care; home computing; home-based healthcare monitoring systems; human urine samples; image acquisition; image colour analysis; image processing techniques; image sensors; innovative smartphone-based interpreter; kidney functioning home-monitoring; medical image processing; paper-based strip colour; patient monitoring; smart phones; smart reader; smartphone-based analysis; striptest reader; treatment intervention

Year:  2014        PMID: 26609385      PMCID: PMC4614273          DOI: 10.1049/htl.2014.0059

Source DB:  PubMed          Journal:  Healthc Technol Lett        ISSN: 2053-3713


  9 in total

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Journal:  Lab Chip       Date:  2013-11-07       Impact factor: 6.799

2.  Integrated rapid-diagnostic-test reader platform on a cellphone.

Authors:  Onur Mudanyali; Stoyan Dimitrov; Uzair Sikora; Swati Padmanabhan; Isa Navruz; Aydogan Ozcan
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3.  Simple telemedicine for developing regions: camera phones and paper-based microfluidic devices for real-time, off-site diagnosis.

Authors:  Andres W Martinez; Scott T Phillips; Emanuel Carrilho; Samuel W Thomas; Hayat Sindi; George M Whitesides
Journal:  Anal Chem       Date:  2008-04-11       Impact factor: 6.986

4.  Quantum dot enabled detection of Escherichia coli using a cell-phone.

Authors:  Hongying Zhu; Uzair Sikora; Aydogan Ozcan
Journal:  Analyst       Date:  2012-03-07       Impact factor: 4.616

5.  A simple and smart telemedicine device for developing regions: a pocket-sized colorimetric reader.

Authors:  Dae-Sik Lee; Byoung Goo Jeon; Chunhwa Ihm; Je-Kyun Park; Mun Yeon Jung
Journal:  Lab Chip       Date:  2010-11-26       Impact factor: 6.799

Review 6.  Cellphone-based devices for bioanalytical sciences.

Authors:  Sandeep Kumar Vashist; Onur Mudanyali; E Marion Schneider; Roland Zengerle; Aydogan Ozcan
Journal:  Anal Bioanal Chem       Date:  2013-11-28       Impact factor: 4.142

7.  A personalized food allergen testing platform on a cellphone.

Authors:  Ahmet F Coskun; Justin Wong; Delaram Khodadadi; Richie Nagi; Andrew Tey; Aydogan Ozcan
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

8.  Hypertensive disorders and severe obstetric morbidity in the United States.

Authors:  Elena V Kuklina; Carma Ayala; William M Callaghan
Journal:  Obstet Gynecol       Date:  2009-06       Impact factor: 7.661

9.  Immunochromatographic diagnostic test analysis using Google Glass.

Authors:  Steve Feng; Romain Caire; Bingen Cortazar; Mehmet Turan; Andrew Wong; Aydogan Ozcan
Journal:  ACS Nano       Date:  2014-02-27       Impact factor: 15.881

  9 in total
  4 in total

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Journal:  Healthc Technol Lett       Date:  2016-11-02

2.  Analysis of Paper-Based Colorimetric Assays With a Smartphone Spectrometer.

Authors:  Elizabeth V Woodburn; Kenneth D Long; Brian T Cunningham
Journal:  IEEE Sens J       Date:  2019-06-15       Impact factor: 3.301

3.  Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care.

Authors:  Madeleine Flaucher; Michael Nissen; Katharina M Jaeger; Adriana Titzmann; Constanza Pontones; Hanna Huebner; Peter A Fasching; Matthias W Beckmann; Stefan Gradl; Bjoern M Eskofier
Journal:  IEEE J Transl Eng Health Med       Date:  2022-05-30

4.  Development of a novel mobile application to detect urine protein for nephrotic syndrome disease monitoring.

Authors:  Chia-Shi Wang; Richard Boyd; Russell Mitchell; W Darryl Wright; Courtney McCracken; Cam Escoffery; Rachel E Patzer; Larry A Greenbaum
Journal:  BMC Med Inform Decis Mak       Date:  2019-05-30       Impact factor: 2.796

  4 in total

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