Health to eat: a smart plate with food recognition, classification, and weight measurement for type-2 diabetic mellitus patients' nutrition control

SR Joshua, S Shin, JH Lee, SK Kim - Sensors, 2023 - mdpi.com
The management of type 2 diabetes mellitus (T2DM) is generally not only focused on
pharmacological therapy. Medical nutrition therapy is often forgotten by patients for several …

[HTML][HTML] Human coaching methodologies for automatic electronic coaching (eCoaching) as behavioral interventions with information and communication technology …

A Chatterjee, M Gerdes, A Prinz, S Martinez - Journal of medical Internet …, 2021 - jmir.org
Background We systematically reviewed the literature on human coaching to identify
different coaching processes as behavioral interventions and methods within those …

Nutrition‐Related Mobile Application for Daily Dietary Self‐Monitoring

M Ulfa, W Setyonugroho, T Lestari… - Journal of Nutrition …, 2022 - Wiley Online Library
Nutrition apps for mobile devices such as smartphones are becoming more widely available.
They can help ease the arduous chore of documenting intake for nutritional assessment and …

Minimally invasive and continuous glucose monitoring sensor based on non-enzymatic porous platinum black-coated gold microneedles

SR Chinnadayyala, AT Satti, D Kim, S Cho - Electrochimica Acta, 2021 - Elsevier
Individuals with diabetes can considerably benefit from continuous glucose monitoring
(CGM). Addressing this challenge, a proof-of-concept for a pain-free CGM was presented …

An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology

A Chatterjee, A Prinz, MA Riegler, YK Meena - Scientific Reports, 2023 - nature.com
Electronic coaching (eCoach) facilitates goal-focused development for individuals to
optimize certain human behavior. However, the automatic generation of personalized …

Design and development of a mobile-based self-care application for patients with type 2 diabetes

E Mehraeen, M Mehrtak, N Janfaza… - Journal of diabetes …, 2022 - journals.sagepub.com
Introduction: Mobile-based applications play a leading role in changes in life-style, improve
medication adherence, and provide a unique opportunity to aid patients with type 2 diabetes …

[HTML][HTML] A digital lifestyle coach (E-Supporter 1.0) to support people with type 2 diabetes: participatory development study

EAG Hietbrink, A Middelweerd… - JMIR human …, 2023 - humanfactors.jmir.org
Background: A healthy lifestyle, including regular physical activity and a healthy diet, is
becoming increasingly important in the treatment of chronic diseases. eHealth interventions …

Individualized self-care training systems for type 2 diabetes patients: a systematic review on characteristics of randomized controlled trials (RCTs)

M Tanhapour, N Mohammadzadeh… - Universal Access in the …, 2024 - Springer
Self-care is crucial for managing chronic diseases like Type 2 diabetes (T2D). Successful
self-care is complex and influenced by many factors. Regarding the effectiveness of digital …

AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach

A Chatterjee, N Pahari, A Prinz, M Riegler - BMC Medical Informatics and …, 2023 - Springer
Background Automated coaches (eCoach) can help people lead a healthy lifestyle (eg,
reduction of sedentary bouts) with continuous health status monitoring and personalized …

Missing Data Statistics Provide Causal Insights into Data Loss in Diabetes Health Monitoring by Wearable Sensors

CIR Braem, US Yavuz, HJ Hermens, PH Veltink - Sensors, 2024 - mdpi.com
Background: Data loss in wearable sensors is an inevitable problem that leads to
misrepresentation during diabetes health monitoring. We systematically investigated …