Biomedical sensor technologies on the platform of mobile phones

Liu, Lin; Liu, Jing

doi:10.1007/s11465-011-0216-0

Cited by 10 publications

(11 citation statements)

References 90 publications

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“…[16][17][18] That is the reason for not including the cost of the videocameras used in the teleconsultations. As Liu and Liu 19 wrote, with the help of electrical and mechanical technologies, it is expected that a full combination between the biomedical sensors and mobile phones will bring a bright future for the coming pervasive medical care.…”

Section: Discussionmentioning

confidence: 99%

Reliability of Telemedicine in the Diagnosis and Treatment of Sleep Apnea Syndrome

Coma-del-Corral¹,

Alonso-Álvarez

Allende³

et al. 2013

Telemedicine and e-Health

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Section: Discussionmentioning

confidence: 99%

Reliability of Telemedicine in the Diagnosis and Treatment of Sleep Apnea Syndrome

Coma-del-Corral¹,

Alonso-Álvarez

Allende³

et al. 2013

Telemedicine and e-Health

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“…Optical design is usually performed with small‐scale optical elements such as lenses, apertures, prisms, optical fibers, waveguides, and mirrors. These sets of optical elements provide the following functions: magnification, filtering, and image enhancement by reducing distortion and by carrying out targeted focusing . The illumination of samples can be performed with the built‐in flash LED on a smartphone, external LED embedded in the adapter, or external tunable or near‐monochromatic laser diode .…”

Section: Resultsmentioning

confidence: 99%

“…These sets of optical elements provide the following functions: magnification, filtering, and image enhancement by reducing distortion and by carrying out targeted focusing. 92 The illumination of samples can be performed with the built-in flash LED on a smartphone, external LED embedded in the adapter, or external tunable or near-monochromatic laser diode. 93 The red and green wavelengths are preferred for the fluorescence application and can be used together for multichannel fluorescence applications.…”

mentioning

confidence: 99%

A review of smartphone point‐of‐care adapter design

Alawsi

Al-Bawi

2019

Engineering Reports

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In this review, we explore the potential of smartphone‐based applications based on their unique ability to support portable, easy‐to‐use, precise, and efficient functions, which, in turn, makes lab‐on‐hardware a trending area of novel research. Smartphones can assist surgeons, physicians, biologists, chemists, ophthalmologists, and laboratory technicians in maintaining an easy‐to‐use, cost‐effective, and integrated environment for treatment, diagnosis, and point‐of‐care (POC) applications. These POC applications can improve patients' quality of life, offering patients a precise diagnosis and the correct treatment. This is a noble goal that aims to reduce costs and to increase the accuracy of sample testing, treatment, and diagnosis. Recent innovations have made major advances in smartphone adapters, providing portability, robustness, self‐powered devices, small‐sized adapters, and ease of usage. Lab‐on‐hardware is a progressing field, and smartphone imaging applications are increasingly expanding, resulting in POC applications with the latest and most advanced image analysis, enhancement, recognition, and other image processing techniques. The most recent studies in the field are explored to provide a solid background to interested researchers against which they can choose of application and/or adapter design they aim to develop, with a discussion of the methods reviewed here.

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“…Mobile phones are a solution to this situation. They pervade all aspects of daily life, owing to their portability, usefulness, convenience, and relative low-cost [3]. The latest advances prove the feasibility of commodity mobile phones as devices for obtaining PPG signals for heart rate measurement with a finger placed on the camera lens, leading to comparable results with pulse oximeters [4].…”

Section: Introductionmentioning

confidence: 99%

Adaptive thresholding with inverted triangular area for real-time detection of the heart rate from photoplethysmogram traces on a smartphone

Jiang

Wittek

Zhao

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-Photoplethysmogram (PPG) signals acquired by smartphone cameras are weaker than those acquired by dedicated pulse oximeters. Furthermore, the signals have lower sampling rates, have notches in the waveform and are more severely affected by baseline drift, leading to specific morphological characteristics. This paper introduces a new feature, the inverted triangular area, to address these specific characteristics. The new feature enables real-time adaptive waveform detection using an algorithm of linear time complexity. It can also recognize notches in the waveform and it is inherently robust to baseline drift. An implementation of the algorithm on Android is available for free download. We collected data from 24 volunteers and compared our algorithm in peak detection with two competing algorithms designed for PPG signals, IncrementalMerge Segmentation (IMS) and Adaptive Thresholding (ADT). A sensitivity of 98.0 % and a positive predictive value of 98.8 % were obtained, which were 7.7 % higher than the IMS algorithm in sensitivity, and 8.3 % higher than the ADT algorithm in positive predictive value. The experimental results confirmed the applicability of the proposed method.

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Biomedical sensor technologies on the platform of mobile phones

Cited by 10 publications

References 90 publications

Reliability of Telemedicine in the Diagnosis and Treatment of Sleep Apnea Syndrome

Reliability of Telemedicine in the Diagnosis and Treatment of Sleep Apnea Syndrome

A review of smartphone point‐of‐care adapter design

Adaptive thresholding with inverted triangular area for real-time detection of the heart rate from photoplethysmogram traces on a smartphone

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