Smartphone-Based pH Sensor for Home Monitoring of Pulmonary Exacerbations in Cystic Fibrosis by Alexander Sun, Tom Phelps, Chengyang Yao, A. G. Venkatesh, Douglas Conrad, Drew A. Hall

“…The system matches within ~0.03 pH of a benchtop pH meter while fully powering itself and communicating with a Samsung Galaxy S3 smartphone paired with either a glass or Iridium Oxide (IrOx) electrode. …”
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BLocate: A Building Identification Scheme in GPS Denied Environments Using Smartphone Sensors by Imran Ashraf, Soojung Hur, Yongwan Park

“…The experiments are performed with Samsung Galaxy S8 for eight various buildings with different altitudes and number of floors in Yeungnam University, Korea. …”
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Vid2U: facilitating students’ learning through video annotation for tablet device by Mustaffa, Mas Rina, Mansor, Evi Indriasari

“…Apart from that, the application of video annotation on mobile devices is also still in its infancy, especially for recent devices like iPad, Microsoft Surface, Samsung Galaxy Tab, and others. The objective of the proposed mobile learning application, Vid2U is to provide the flexibility of accessing and managing video materials at anywhere and anytime, making learning even more widely available. …”
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WiFi-Aided Magnetic Matching for Indoor Navigation with Consumer Portable Devices by You Li, Yuan Zhuang, Haiyu Lan, Peng Zhang, Xiaoji Niu, Naser El-Sheimy

“…Walking tests with Samsung Galaxy S3 and S4 smartphones in two different indoor environments (i.e., Environment #1 with abundant WiFi APs and significant magnetic features, and Environment #2 with less WiFi and magnetic information) were conducted to evaluate the proposed algorithm. …”
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Evaluation of Leading Smartwatches for the Detection of Hypoxemia: Comparison to Reference Oximeter by Simon Walzel, Radek Mikus, Veronika Rafl-Huttova, Martin Rozanek, Thomas E. Bachman, Jakub Rafl

“…Each of the 18 young and healthy participants underwent the experimental assessment three times in randomized order—wearing Apple Watch 8, Samsung Galaxy Watch 5, or Withings ScanWatch—resulting in 54 individual experimental assessments and complete datasets. …”
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Assessing the Feasibility of Replacing Subjective Questionnaire-Based Sleep Measurement with an Objective Approach Using a Smartwatch by Maksym Gaiduk, Ralf Seepold, Natividad Martínez Madrid, Juan Antonio Ortega

“…In this evaluation, objective sleep measurement with a Samsung Galaxy Watch 4 was compared to a subjective approach with a sleep diary, which is a standard method in sleep medicine. …”
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Evidence of validity and reliability of Jumpo 2 and MyJump 2 for estimating vertical jump variables by Amilton Vieira, Gabriela L. Ribeiro, Victor Macedo, Valdinar de Araújo Rocha Junior, Roberto de Souza Baptista, Carlos Gonçalves, Rafael Cunha, James Tufano

“…The videos were analyzed using Jumpo 2 and MyJump 2 using a Samsung Galaxy S7 powered by the Android system. Validity and reliability were determined by regression analysis, typical error of estimates and measurements, and intraclass correlation coefficients. …”
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Using Smartwatches to Detect Face Touching by Chen Bai, Yu-Peng Chen, Adam Wolach, Lisa Anthony, Mamoun T. Mardini

“…We developed a smartwatch application on Samsung Galaxy Watch to collect raw accelerometer data from participants. …”
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Interactive smart app for tree conservation centre by Wong, See Ne

“…The mobile application was built using hybrid mobile application technologies and then deployed on a Samsung Galaxy J2. Hybrid application development was an ideal choice as it is a single codebase that can be compiled to run on multiple platforms. …”
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Mobile visual search information services by Ho, Bao Xian

“…The Nanyang Technological University (NTU) landmarks database was used to test this app and it could perform an offline search in (3.42 ± 1.09) seconds using a Samsung Galaxy Note 3 with an accuracy of 84.9%. The app developed also spots advance camera functionalities such as zooming, auto focusing and rotating buttons based on the orientation of the phone. …”
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Investigating the viability of motoric task performance as a clinical biomarker in Huntington’s and Parkinson’s disease by Jayaraj, MS

“…The application was meant for installation on Samsung Galaxy 7” tablet devices. The tasks included finger tapping; metronome based tapping, simple and choice reaction time and was used to study a cross section of 45 controls of three different age groups, from 20-30 years, 35 -45 years and 65-80 years. …”

Identification of dorsal and vertical surface of rubber seeds using image processing approach by Mohd Johari, Siti Nurul Afiah

“…There were 1600 images of dorsal and vertical surfaces at different positions acquired using SM-P605 of Samsung Galaxy Tab in RGB color format. Significant difference between dorsal and vertical surface can be seen clearly at the center of the seed. …”
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Accuracy in detecting atrial fibrillation in single-lead ECGs: an online survey comparing the influence of clinical expertise and smart devices by Simon Weidlich, Diego Mannhart, Teodor Serban, Philipp Krisai, Sven Knecht, Jeanne du Fay de Lavallaz, Tatjana Müller, Beat Schaer, Stefan Osswald, Michael Kühne, Christian Sticherling, Patrick Badertscher

“…AIMS: To compare the accuracy of cardiologists, internal medicine residents and medical students in detecting atrial fibrillation via SL-ECGs from five different smart devices (Apple Watch, Fitbit Sense, KardiaMobile, Samsung Galaxy Watch, Withings ScanWatch). Participants were also asked to assess the quality and readability of SL-ECGs. …”
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Validating the measurement of upper limb sensorimotor behavior utilizing a tablet in neurologically intact controls and individuals with chronic stroke by Devin Sean Austin, Makenna J. Dixon, Duncan Thibodeau Tulimieri, Joshua G. A. Cashaback, Jennifer A. Semrau

“…Methods Twenty individuals with stroke, twenty age-matched older controls, and twenty younger controls completed an eight-target Visually Guided Reaching (VGR) task using a Kinarm Robotic Exoskeleton and a Samsung Galaxy Tablet. Participants completed eighty trials of the VGR task on each device, where each trial consisted of making a reaching movement to one of eight pseudorandomly appearing targets. …”
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Magnetic field interactions of smartwatches and portable electronic devices with CIEDs – Did we open a Pandora’s box? by Patrick Badertscher, Céline Vergne, Corentin Féry, Diego Mannhart, Thomas Quirin, Stefan Osswald, Michael Kühne, Christian Sticherling, Sven Knecht, Joris Pascal

“…Methods: High resolution magnetic field characterization of five smartwatches (Apple Watch 6/7, Fitbit Sense, Samsung Galaxy 3, Withings Scanwatch) was performed using a novel magnetic field camera. …”
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Accuracy of Fully Automated 3D Imaging System for Child Anthropometry in a Low-Resource Setting: Effectiveness Evaluation in Malakal, South Sudan by Eva Leidman, Muhammad Ali Jatoi, Iris Bollemeijer, Jennifer Majer, Shannon Doocy

“…Scans were then captured by a different enumerator using a Samsung Galaxy 8 phone loaded with a custom software, AutoAnthro, and an Intel RealSense 3D scanner. …”
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Performance analysis of mobile broadband networks with 5g trends and beyond: urban areas scope in Malaysia by Shayea, I., Azmi, M. H., Ergen, M., El-Saleh, A. A., Chu, T. H., Arsad, A., Rahman, T. A., Alhammadi, A., Daradkeh, Y. I.

“…Data has been collected in a time span of 2 months, from January to February, using the Samsung Galaxy S6 smartphone handsets. Four MBB Key Performance Indicators (KPIs) are considered in this study (coverage, latency, satisfaction and speed) for two MBB services (web browsing and video streaming). …”
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Performance analysis of mobile broadband networks with 5g trends and beyond: rural areas scope in Malaysia by Shayea, I., Ergen, M., Azmi, M. H., Nandi, D., El-Salah, A. A., Zahedi, A.

“…The MBB performance measurement data was collected between January and February using modified Samsung Galaxy S6 smartphone handsets. The measurement data of the 3G and 4G MBB networks are associated with four performance metrics (coverage, latency, satisfaction, and speed) for two MBB services: web browsing and video streaming. …”

Construct Validity and Test–Retest Reliability of a Free Mobile Application to Evaluate Aerobic Capacity and Endurance in Post-COVID-19 Syndrome Patients—A Pilot Study by Roberto Cano-de-la-Cuerda, Carmen Jiménez-Antona, Alberto Melián-Ortiz, Alberto Molero-Sánchez, Ángel Gil-de Miguel, Ángel Lizcano-Álvarez, Valentín Hernández-Barrera, David Varillas-Delgado, Sofía Laguarta-Val

“…RUNZI^®, a free mobile application, was used by mounting a Samsung Galaxy S8 smartphone using a strap on the right forearm while all participants simultaneously performed a 6-Minute Walking Test (6MWT). …”
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Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation by Groesbeck P. Parham, Didem Egemen, Brian Befano, Mulindi H. Mwanahamuntu, Ana Cecilia Rodriguez, Sameer Antani, Samson Chisele, Mukatimui Kalima Munalula, Friday Kaunga, Francis Musonda, Evans Malyangu, Aaron Lunda Shibemba, Silvia de Sanjose, Mark Schiffman, Vikrant V. Sahasrabuddhe

“…We added research elements (which did not influence clinical care) including collection of HPV specimens for testing and typing with BD Onclarity™ with a five channel output (HPV16, HPV18/45, HPV31/33/52/58, HPV35/39/51/56/59/66/68, human DNA control), and collection of triplicate cervical images with a Samsung Galaxy J8 smartphone camera™ that were analyzed using AVE, an AI-based algorithm pre-trained on a large NCI cervical image archive. …”
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