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[ACM Press Proceedings of the 14th EAI International Conference - Melbourne, VIC, Australia (2017.11.07-2017.11.10)] Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems Computing Networking and Services - Sensor Agnostic Photoplethysmogram Signal Quality Assessment using Morphological Analysis
摘要： In this article, we propose a method to assess the clinical usability of fingertip Photoplethysmogram (PPG) waveform, collected from medical grade oximeter (train data) and smartphone (test data). We introduce a set of novel Signal Quality Indices (SQIs) to represent the noise characteristics of the PPG waveform. The SQIs are presented to a random forest classifier to discriminate between clean and noisy signals. The proposed method was evaluated on datasets annotated by four experts, resulting into a sensitivity and specificity of (92 + ? 4.7 % , 95 + ? 4.6 % , 95.4 + ? 3.1 %) on train and test data respectively. Further we applied the proposed method on PPG waveform of clinically proven control and disease population of Coronary Artery Disease (CAD), which resulted into (77 %,77 %) of sensitivity and specificity respectively.
关键词： Artefact,Noise Detection,Photoplethysmogram,Wearable Sensors,Morphology,Mobile Health
更新于2025-09-23 15:22:29
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Smartphone-based analytical biosensors
摘要： The traditional analytical biosensor instruments are relatively bulky, expensive, and not easy to handle, thus their applications are largely limited in resource-limited settings. The recent development of microfluidic lab-on-a-chip (LOC) technology has provided a possible solution to miniaturize the conventional biosensing system, yet other accessory devices to detect, readout, analyze, transfer, and display results are still required. With the rapid development, mass production, and pervasive distribution of smartphones in recent years, they have provided people with portable, cost-effective, and easy-to-operate platforms to build analytical biosensors for point-of-care (POC) applications and mobile health. Based on the common analytical methods, this paper reviews the recent development of four types of smartphone-based analytical biosensory systems at the POC, i.e., smartphone-based microscopic imaging, colorimetric, electrochemical, and electrochemiluminescence biosensor. The different bio-sensing strategies and analytical performance together with future perspectives are discussed.
关键词： point-of-care,smartphone-based biosensors,analytical methods,mobile health,microfluidic
更新于2025-09-19 17:15:36
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Portable Multiplex Optical Assays
摘要： Global health issues are increasingly becoming critical with high fatality rate due to chronic and infectious diseases. Emerging technologies aim to address these problems by understanding the causes of lethal conditions and diagnosing symptoms at early stage. Existing commercial diagnostics primarily focus on single-plex assays due to ease-of-use, simplicity in analysis, and amenability to mass manufacturing. Many research grade devices have utilized only a few molecular and morphological signatures in bodily fluids. However, multiplex devices can improve accuracy, sensitivity, and scalability of research and diagnostic devices. This review presents multiplex assays that utilize optical, electrical, and chemical methods and materials that have the potential to improve portable point-of-care diagnostics. The critical role of emerging optical and complementary assays with multiple contrast mechanisms is investigated to enable highly multiplex analysis in field settings. Multiparameter portable devices for field applications toward health monitoring, food testing, air quality monitoring, and microanalysis in other extreme conditions are examined. Current trends indicate the need for validation of health diagnosis based on a large number of biomarkers in randomized clinical trials. Advanced digital analysis, crowd-sourced solutions, and robust user interfaces will become an integral part of the connected global health systems and personalized monitoring platforms.
关键词： optical assays,digital analysis,diagnostic devices,point-of-care,multiplex devices,portable devices,mobile health
更新于2025-09-10 09:29:36