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Showing 14 of 14 academic articles

Digital Co-Creation in Socially Sustainable Smart City Projects: Lessons From the European Union and Canada

Daniela Popescul, Lily Murariu, Laura-Diana Radu, Mircea-Radu Georgescu • IEEE Access (2024)

Utilizing readily accessible information and communication technologies (ICTs), such as mobile devices, applications, and simple Internet of Things (IoT) sensors, and harnessing their potential through Experimentation as a Service (EaaS), c...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3399016

Using Wearable Devices to Examine the Associations of Sedentary Behavior with Perceived and Performance Fatigability Among Older Adults: The Study of Muscle, Mobility and Aging (SOMMA)

Reagan E. Garcia, Anne B. Newman, Eileen Johnson, Yujia Susanna Qiao et al. • Sensors (2025)

Fatigability, a phenotype of poor energy regulation, is associated with lower physical activity in older adults, but independent associations with sedentary behavior are unknown. We examined whether sedentary behavior was associated with fa...

DOAJ Open Access (DOAJ) DOI: 10.3390/s25092722

Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine

Anne M. Kuwabara, Sharlene Su, Jeffrey Krauss • American Journal of Lifestyle Medicine (2019)

Technology has redefined the way patients and providers communicate and obtain health information. The realm of digital health encompasses a diverse set of technologies, including mobile health, health information technology, wearable devic...

OPENALEX Open Access DOI: https://doi.org/10.1177/1559827619892547 PMC: 7092400

Health technology in perspective

Tae‐Il Kim • Journal of Periodontal & Implant Science (2015)

The ongoing development of information and communication technology (ICT) is taking the healthcare industry to the next level. It allows an independent healthcare system by which anyone can easily obtain tne real-time measurement of individ...

OPENALEX cc-by-nc DOI: https://doi.org/10.5051/jpis.2015.45.1.1 PMC: 4341201

Health Technology and Reproduction

Kathleen M. Hoeger, Terhi Piltonen • Seminars in Reproductive Medicine (2024)

Kathleen M. Hoeger, MD, MPH Terhi T. Piltonen, MD, PhD The current issue of Seminars in Reproductive Medicine is devoted to a review of the burgeoning role of health technology in the field of reproductive medicine. The guest editor for the...

OPENALEX DOI: https://doi.org/10.1055/s-0044-1791777

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey

Sahalu Balarabe Junaid, Abdullahi Abubakar Imam, Abdullateef Oluwagbemiga Balogun, Liyanage Chandratilak De Silva et al. • Healthcare (2022)

In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and Blockchain technologies have quickly gained pace as a new study niche in numerous collegiate and industrial sectors, notably in the healthcare se...

OPENALEX cc-by DOI: https://doi.org/10.3390/healthcare10101940 PMC: 9601636

Cybersecurity

Walter N. Maclay • Productivity Press eBooks (2022)

Cybersecurity is a growing problem. Devices are being hacked more and more. When this happens, the data may be intercepted or corrupted. In addition, devices such as laptops, cell phones, and wearable devices can become portals into the net...

OPENALEX DOI: https://doi.org/10.4324/9781003304036-17

Hierarchical Multimodal Sleep Staging with Optimized EEG, EOG, and PPG Features for Wearable Applications

Roberto De Fazio, Matteo Paiano, Ramiro Velazquez, Carolina Del-Valle-Soto et al. • Applied Sciences (2026)

Automatic sleep staging is fundamental for diagnosing sleep disorders and enabling long-term sleep monitoring with wearable devices. Although Deep Learning has significantly improved classification performance, balancing accuracy with compu...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16168164

Deep learning for cardiovascular medicine: a practical primer

Chayakrit Krittanawong, Kipp W. Johnson, Robert S. Rosenson, Zhen Wang et al. • European Heart Journal (2019)

Deep learning (DL) is a branch of machine learning (ML) showing increasing promise in medicine, to assist in data classification, novel disease phenotyping and complex decision making. Deep learning is a form of ML typically implemented via...

OPENALEX Open Access DOI: https://doi.org/10.1093/eurheartj/ehz056 PMC: 6600129

Machine Learning

Jason Bell • Wiley eBooks (2014)

Emotion recognition is an important research topic.Physiological signals seem to be an appropriate way for emotion recognition and specific sensors are required to collect these data.Therefore, laboratory sensors are commonly used while the...

OPENALEX DOI: https://doi.org/10.1002/9781119183464

Fatigue Monitoring Through Wearables: A State-of-the-Art Review

Neusa R. Adão Martins, Neusa R. Adão Martins, Simon Annaheim, Christina M. Spengler et al. • Frontiers in Physiology (2021)

The objective measurement of fatigue is of critical relevance in areas such as occupational health and safety as fatigue impairs cognitive and motor performance, thus reducing productivity and increasing the risk of injury. Wearable systems...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphys.2021.790292

Consumers and Artificial Intelligence: An Experiential Perspective

Stefano Puntoni, Rebecca Walker Reczek, Markus Giesler, Simona Botti • Journal of Marketing (2020)

Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-ac...

OPENALEX Open Access DOI: https://doi.org/10.1177/0022242920953847