Other Publications (1)
Articles by Jenny Nolstam in JoVE
Control of Eating Behavior Using a Novel Feedback System Maryam Esfandiari*1, Vasileios Papapanagiotou*2, Christos Diou2, Modjtaba Zandian1, Jenny Nolstam1, Per Södersten1, Cecilia Bergh1 1Mandometer Clinic, Karolinska Institutet, 2Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki Subjects eat food from a plate placed on a scale connected to a computer that records the weight loss of the plate during the meal. Feedback on the computer screen allows the subject to adapt her/his eating behavior to reference curves thus normalizing body weight.
Other articles by Jenny Nolstam on PubMed
A Sensor-Enabled Smartphone Application to Collect Eating Behavior Data for Population Screening Studies in Health Technology and Informatics. | Pubmed ID: 27225568 The worldwide extent of obesity and eating disorders (ED) today highlights the necessity for efficient treatment, but also early prevention of eating-related diseases. A promising category of therapeutic and preventive interventions comes from the domain of behavioral informatics (BI), whose purpose is to monitor and modify harmful behaviors - unhealthy eating in the particular case - with the help of information and communication technologies. Smartphones have already shown great promise in delivering such BI interventions in the field of obesity and ED. In fact, plenty of smartphone applications aiming to monitor and support the change of eating behavior with the help of built-in or external sensors have been proposed in the scientific literature. However, to the best of our knowledge, no smartphone application up to date has been designed to collect eating behavior data for the purpose of population screening against obesity or ED. In this work we describe a novel, sensor-enabled smartphone application that captures in-meal behavioral data from multiple subjects in a brief data collection process, with the end goal of recording, in detail, the user's eating style throughout a cooked meal. These data can later be employed for assessing the subjects' risk for obesity or ED. The proposed application has undergone preliminary evaluation with respect to its usability and technical soundness, yielding promising results.