Abstract In recent years, statistics have confirmed that the number of elderly people is increasing. Aging always has a strong impact on the health of a human being; from a biological of point view, this process usually leads to several types of diseases mainly due to the impairment of the organism. In such a context, healthcare plays an important role in the healing process, trying to address these problems. One of the consequences of aging is the formation of pressure ulcers (PUs), which have a negative impact on the life quality of patients in the hospital, not only from a healthiness perspective but also psychologically. In this sense, e-health proposes several approaches to deal with this problem, however, these are not always very accurate and capable to prevent issues of this kind efficiently. Moreover, the proposed solutions are usually expensive and invasive. In this paper we were able to collect data coming from inertial sensors with the aim, in line with the Human-centric Computing (HC) paradigm, to design and implement a non-invasive system of wearable sensors for the prevention of PUs through deep learning techniques. In particular, using inertial sensors we are able to estimate the positions of the patients, and send an alert signal when he/she remains in the same position for too long a period of time. To train our system we built a dataset by monitoring the positions of a set of patients during their period of hospitalization, and we show here the results, demonstrating the feasibility of this technique and the level of accuracy we were able to reach, comparing our model with other popular machine learning approaches.

Giovanni Cicceri

Fabrizio De Vita

Dario Bruneo

Giovanni Merlino

Antonio Puliafito

Human-centric Computing and Information Sciences

在以人为中心的计算和信息科学（HCIS）中，KIPS-CSWRG 发表了高质量的论文，涵盖了与以人为中心的计算和信息科学相关的各种理论和实际应用。已发表的论文展示了对解决应用服务的各种问题以及 HCIS 范围内的其他问题具有重要价值的结果。此外，我们预计它们将引发与我们未来生活相关的进一步相关研究和技术改进。

The journal "Human-centric Computing and Information Sciences" focuses on Human-centric Computing and Information Sciences (HCIS) and is published by KIPS-CSWRG. It publishes high-quality papers covering various theoretical and practical applications related to HCIS. The published papers demonstrate significant contributions to solving various issues in applied services and other important problems within the HCIS domain. Furthermore, we anticipate that these studies will inspire further research and technological advancements related to our future lives.

《Human-centric Computing and Information Sciences》期刊专注于以人为中心的计算和信息科学（HCIS），由KIPS-CSWRG出版。期刊发表高质量的论文，涵盖与以人为中心的计算和信息科学相关的各种理论和实际应用。已发表的论文展示了对解决应用服务的各种问题以及HCIS领域内其他重要问题的显著贡献。此外，我们期待这些研究能够引发与未来生活相关的进一步研究和技术改进。

Category	Quartile
计算机科学	2
计算机科学, 计算机信息系统	2

A deep learning approach for pressure ulcer prevention using wearable computing

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INFORMATION SYSTEMS	2