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Objective and Subjective Meal Registration via a Smartphone Application [chapter]

Ioannis Moulos, Christos Maramis, Ioannis Ioakimidis, Janet van den Boer, Jenny Nolstam, Monica Mars, Cecilia Bergh, Nicos Maglaveras
2015 Lecture Notes in Computer Science  
In objective meal registration, the app records meal information with the help of a portable food weight scale, while an electronic meal report is employed for the subjective registration.  ...  The SPLENDID app, a novel smartphone application that mediates the monitoring and modification of the participants' eating and activity behaviors, resides in the intervention's core.  ...  My Meal Mate [6] is a smartphone application, designed to support weight loss.  ... 
doi:10.1007/978-3-319-23222-5_50 fatcat:sehvhqplofdwfoe5nbjxcxrgke

A Simple Medical Record System of Non-Invasive Blood Glucose Level Measurement Results for Diabetes Care Using Graphical User Interface (GUI) MATLAB

Nur Hasanah Ahniar
2021 Indonesian Journal of Electronics Electromedical Engineering and Medical Informatics  
We designed a simple application and medical record using Blynk applications and GUI MATLAB for recording the measurement results of blood glucose level.  ...  As a result of measuring the blood glucose levels of the subject was displayed on the LCD module was designed.  ...  The Matlab GUI receives data that has been sent by the smartphone via a wifi connection. On the home page, there are 3 options, name, registration, medical record, and close.  ... 
doi:10.35882/ijeeemi.v3i3.3 fatcat:fiyzs6mlnve3dly7evv222ux7m

A randomised controlled trial of a personalised lifestyle coaching application in modifying periconceptional behaviours in women suffering from reproductive failures (iPLAN trial)

Ka Ying Bonnie Ng, Susan Wellstead, Ying Cheong, Nick Macklon
2018 BMC Women's Health  
Availability of data and materials Not applicable.  ...  They will also need to be fluent in the use and understanding of English, and have a smartphone capable of running the online application.  ...  Methods and design Study objective The prospective randomised controlled trial (the iPLAN trial 'Impact of a Personalised Lifestyle coaching phone ApplicatioN in modifying peri-conceptional behaviours  ... 
doi:10.1186/s12905-018-0689-7 fatcat:dnjn747bebclbllxnh7d6jerui

Wearable Devices for Caloric Intake Assessment: State of Art and Future Developments

Maria Laura Magrini, Clara Minto, Francesca Lazzarini, Matteo Martinato, Dario Gregori
2017 Open Nursing Journal  
Method: A literature research has been performed with PubMed, Google Scholar, Scopus and ClinicalTrials.gov search engines, considering released articles regarding applications of wearable devices in eating  ...  Results: Several tools allow caloric assessment and food registration: wearable devices counting the number of bites ingested by the user, instruments detecting swallows and chewings, methods that analyse  ...  Data from the sensor are then sent via Bluetooth to a smartphone app. There are two versions of the collar.  ... 
doi:10.2174/1874434601711010232 pmid:29238426 pmcid:PMC5712649 fatcat:jheimw6carcxhcn7nvaxhrwfi4

Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach

Sofia Balula Dias, Yannis Oikonomidis, José Alves Diniz, Fátima Baptista, Filomena Carnide, Alex Bensenousi, José María Botana, Dorothea Tsatsou, Kiriakos Stefanidis, Lazaros Gymnopoulos, Kosmas Dimitropoulos, Petros Daras (+32 others)
2022 Frontiers in Nutrition  
The ubiquitous nature of smartphone ownership, its broad application and usage, along with its interactive delivery of timely feedback are appealing for health-related behavior change interventions via  ...  In particular, online survey data from 85 users of the PROTEIN app within a period of 2 months were subjected to confirmatory factor analysis (CFA) and regression analysis (RA) to reveal the relationship  ...  TAM can be used for actual system use in both subjective (self-reporting questionnaire) and objective measurement (system log) (45) .  ... 
doi:10.3389/fnut.2022.898031 pmid:35879982 pmcid:PMC9307489 fatcat:ahpxwgawhbefnimgz5vdii4zxi

Encouraging Each Other on Social Media: Promoting Healthy Eating Habits for College Students through Creating Dietary Diaries via a Smartphone App (Preprint)

Masako Watanabe-Ito, Emiko Kishi, Yoko Shimizu
2019 JMIR mHealth and uHealth  
Participants gradually thought more about their eating habits from various perspectives when choosing a meal/drink, particularly with respect to maintaining well-balanced diets and introducing diverse  ...  Forty-two college students in the greater Tokyo area of Japan participated in the study by creating dietary diaries online through a smartphone app and then followed/interacted with each other using social  ...  Acknowledgments We would like to express our appreciation to all the participants, and to asken Inc, which generously let us use their smartphone app and their images for our research.  ... 
doi:10.2196/17613 pmid:32229468 pmcid:PMC7351260 fatcat:b4qwcffhifaxhduohjj25hlude

Validation of the effectiveness of a digital integrated healthcare platform utilizing an AI-based dietary management solution and a real-time continuous glucose monitoring system for diabetes management: a randomized controlled trial

Sung Woon Park, Gyuri Kim, You-Cheol Hwang, Woo Je Lee, Hyunjin Park, Jae Hyeon Kim
2020 BMC Medical Informatics and Decision Making  
Despite the numerous healthcare smartphone applications for self-management of diabetes, patients often fail to use these applications consistently due to various limitations, including difficulty in inputting  ...  This trial will verify the effectiveness of a digital integrated healthcare platform with an AI-driven dietary solution and a real-time CGMS in patients with T2DM.  ...  Acknowledgements Not applicable. Received: 26 May 2020 Accepted: 3 July 2020  ... 
doi:10.1186/s12911-020-01179-x pmid:32650771 fatcat:wuwpd7yevfdzljuneuplnam2si

Self-Care IoT Platform for Diabetic Mellitus

Jai-Chang Park, Seongbeom Kim, Je-Hoon Lee
2021 Applied Sciences  
We also devised a self-care application to display and analyze the data obtained from the IoT pack.  ...  The internet of things (IoT) is useful to interconnect, monitor, obtain, and process data between various devices used in everyday life to fulfill a common objective.  ...  Institutional Review Board Statement: Not applicable. Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.  ... 
doi:10.3390/app11052006 fatcat:owmfldsyojchbh35hmw5e7ponm

A Mobile-Based Diet Monitoring System for Obesity Management

Bruno Vieira Resende e Silva, Milad Ghiasi Rad, Juan Cui, Megan McCabe, Kaiyue Pan
2018 Journal of Health & Medical Informatics  
As a proof of concept, we have demonstrated the use of this system through an Android application.  ...  Recent advances in smartphones and wearable sensor technologies have empowered automated food monitoring through food image processing and eating episode detection, with the goal to conquer drawbacks of  ...  Acknowledgments The authors would like to thank all SBBI members who have been involved in this work for providing helpful discussions and technical assistance.  ... 
doi:10.4172/2157-7420.1000307 pmid:30416865 pmcid:PMC6226023 fatcat:2omkqodt4rcftidxd7j75md5le

Improving time use measurement with personal big data collection – the experience of the European Big Data Hackathon 2019 [article]

Mattia Zeni, Ivano Bison, Britta Gauckler, Fernando Reis Fausto Giunchiglia
2020 arXiv   pre-print
. i-Log is a system that allows to capture personal big data from smartphones' internal sensors to be used for time use measurement.  ...  This article assesses the experience with i-Log at the European Big Data Hackathon 2019, a satellite event of the New Techniques and Technologies for Statistics (NTTS) conference, organised by Eurostat  ...  A first source of time diary data was MOTUS, which is an online time use survey administered via a website and a mobile application.  ... 
arXiv:2004.11940v1 fatcat:gvt7uhwi4ffqzfb5bxyfuef7ha

Improving Time Use Measurement with Personal Big Data Collection – The Experience of the European Big Data Hackathon 2019

Mattia Zeni, Ivano Bison, Fernando Reis, Britta Gauckler, Fausto Giunchiglia
2021 Journal of Official Statistics  
. i-Log is a system that enables capturing personal big data from smartphones' internal sensors to be used for time use measurement.  ...  This article assesses the experience with i-Log at the European Big Data Hackathon 2019, a satellite event of the New Techniques and Technologies for Statistics (NTTS) conference, organised by Eurostat  ...  A first source of time diary data was MOTUS, which is an online time use survey administered via a website and a mobile application.  ... 
doi:10.2478/jos-2021-0015 fatcat:hxoxbocmijhvfarkfgevncna5q

An Interface for IoT: Feeding Back Health-Related Data to Parkinson's Disease Patients

Mevludin Memedi, Gaki Tshering, Martin Fogelberg, Ilir Jusufi, Ella Kolkowska, Gunnar Klein
2018 Journal of Sensor and Actuator Networks  
and a bed sensor.  ...  The interface is designed to visualize symptom and medication information, collected by an Internet of Things (IoT)-based system, which will consist of a smartphone, electronic dosing device, wrist sensor  ...  We would like to thank the patients at Parkinson Örebro and experts for their constructive involvement in the study.  ... 
doi:10.3390/jsan7010014 fatcat:okxmhyothfazlnz74wrhg5kioi

Development and Evaluation of e-CA, an Electronic Mobile-Based Food Record

Sophie Bucher Della Torre, Isabelle Carrard, Eddy Farina, Brigitta Danuser, Maaike Kruseman
2017 Nutrients  
Our objective was to develop and evaluate an electronic mobile-based food record for a research setting.  ...  food record in a laboratory setting with a randomized design. e-CA proved to be intuitive and practical and was perceived as modern, trendy, and fun.  ...  We would like to thank Noémi Schmutz, Laurence Vernay Lehmann, and Magali Magistrale for their work in data collection, processing, and analysis and Tony Lam from Netunion Switzerland, who was responsible  ... 
doi:10.3390/nu9010076 pmid:28106767 pmcid:PMC5295120 fatcat:vz33qhxeifdg3e3mbqnchkji4q

DIABEO App Software and Telemedicine Versus Usual Follow-Up in the Treatment of Diabetic Patients: Protocol for the TELESAGE Randomized Controlled Trial

Nathalie Jeandidier, Lucy Chaillous, Sylvia Franc, Pierre-Yves Benhamou, Pauline Schaepelynck, Hélène Hanaire, Bogdan Catargi, Anne Farret, Pierre Fontaine, Bruno Guerci, Yves Reznik, Alfred Penfornis (+7 others)
2018 JMIR Research Protocols  
DIABEO is a smartphone app (downloaded via the internet) used to calculate bolus insulin doses.  ...  Objective: Here, we present the protocol for a new study (Suivi A Grande Echelle d'une cohorte de diabétiques de type 1 et de type 2 sous schéma insulinique basal bolus par la TELEmédecine; abbreviated  ...  BD is employed by Cemka-Eval, a consulting team specializing in health economics, epidemiology, and outcomes research.  ... 
doi:10.2196/resprot.9154 pmid:29674306 pmcid:PMC5934533 fatcat:52gelkpirnaozi2tkghmm6aaoy

Big Data Warehouse for Healthcare-Sensitive Data Applications

Arsalan Shahid, Thien-An Ngoc Nguyen, M-Tahar Kechadi
2021 Sensors  
We discuss in detail the challenges of privacy protection in this large distributed data-driven application and implement novel privacy-aware data analysis protocols to ensure that the proposed models  ...  Obesity is a major public health problem worldwide, and the prevalence of childhood obesity is of particular concern.  ...  ., (a) Smartphone, (b) Smartwatch, and (c) Mandometer).  ... 
doi:10.3390/s21072353 pmid:33800574 fatcat:2eubu5qdinfabnyqtica2ct6hy
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