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Saliency-Aware Class-Agnostic Food Image Segmentation
- Sri Kalyan Yarlagadda,
- Daniel Mas Montserrat,
- David Güera,
- Carol J. Boushey,
- Deborah A. Kerr,
- Fengqing Zhu
Advances in image-based dietary assessment methods have allowed nutrition professionals and researchers to improve the accuracy of dietary assessment, where images of food consumed are captured using smartphones or wearable devices. These images are ...
Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales
Circadian rhythms influence multiple essential biological activities, including sleep, performance, and mood. The dim light melatonin onset (DLMO) is the gold standard for measuring human circadian phase (i.e., timing). The collection of DLMO is ...
A Framework for Generating Summaries from Temporal Personal Health Data
Although it has become easier for individuals to track their personal health data (e.g., heart rate, step count, and nutrient intake data), there is still a wide chasm between the collection of data and the generation of meaningful summaries to help ...
Early Detection of Health Changes in the Elderly Using In-Home Multi-Sensor Data Streams
The rapid aging of the population worldwide requires increased attention from healthcare providers and the entire society. For the elderly to live independently, many health issues related to old age, such as frailty and risk of falling, need increased ...
Chronic Pain Protective Behavior Detection with Deep Learning
- Chongyang Wang,
- Temitayo A. Olugbade,
- Akhil Mathur,
- Amanda C. DE C. Williams,
- Nicholas D. Lane,
- Nadia Bianchi-Berthouze
In chronic pain rehabilitation, physiotherapists adapt physical activity to patients’ performance based on their expression of protective behavior, gradually exposing them to feared but harmless and essential everyday activities. As rehabilitation moves ...
A Fast ECG Diagnosis by Using Non-Uniform Spectral Analysis and the Artificial Neural Network
The electrocardiogram (ECG) has been proven as an efficient diagnostic tool to monitor the electrical activity of the heart and has become a widely used clinical approach to diagnose heart diseases. In a practical way, the ECG signal can be decomposed ...
Can Chatbots Help Support a Person’s Mental Health? Perceptions and Views from Mental Healthcare Professionals and Experts
- Colm Sweeney,
- Courtney Potts,
- Edel Ennis,
- Raymond Bond,
- Maurice D. Mulvenna,
- Siobhan O’neill,
- Martin Malcolm,
- Lauri Kuosmanen,
- Catrine Kostenius,
- Alex Vakaloudis,
- Gavin Mcconvey,
- Robin Turkington,
- David Hanna,
- Heidi Nieminen,
- Anna-Kaisa Vartiainen,
- Alison Robertson,
- Michael F. Mctear
The objective of this study was to understand the attitudes of professionals who work in mental health regarding the use of conversational user interfaces, or chatbots, to support people’s mental health and wellbeing. This study involves an online ...
Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks
With an aging and growing population, the number of women receiving mammograms is increasing. However, existing techniques for autonomous diagnosis do not surpass a well-trained radiologist. Therefore, to reduce the number of mammograms that require ...
A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses
Recent advancements in computing systems and wireless communications have made healthcare systems more efficient than before. Modern healthcare devices can monitor and manage different health conditions of patients automatically without any manual ...
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