基于连续身体传感器数据预测压力损伤发生的新型皮肤温度估计系统：一项试点研究。

IF 1.4 3区医学 Q4 ENGINEERING, BIOMEDICAL

Clinical Biomechanics Pub Date : 2025-02-01 DOI:10.1016/j.clinbiomech.2024.106413

Minami Shinkawa , Yuko Mugita , Toshiaki Takahashi , Daijiro Haba , Hiromi Sanada , Gojiro Nakagami

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引用次数: 0

摘要

背景：压伤预防对老年不活动患者很重要。这就需要对压伤的发展进行准确有效的预测。我们的目标是开发一种方法，利用放置在床单下的温度传感器来估计由于缺血和炎症引起的皮肤温度变化，以提供一种客观、无创、无约束的风险评估工具。方法：本研究包括健康受试者的热皮肤模拟研究和描述性相关性研究。热皮肤模拟研究使用一个模型来再现体表（内衣、尿布或湿尿布条件）和床环境。在一项描述性相关研究中，参与者仰卧在床垫上，在他们的骶骨皮肤上附着一个温度传感器。研究结果：热皮肤模拟研究表明，通过将时移温度数据输入机器学习，可以估计床单下皮肤的温度变化（内衣R2 = 0.9967，纸尿裤R2 = 0.9950，湿尿布R2 = 0.9869）。结果还表明，将时移数据输入额外树回归器（R2 = 0.8145），可以以最佳精度估计健康个体（N = 17）的绝对皮肤温度。解释：界面压力和温度传感器的组合可用于估计皮肤温度的变化。这些发现有助于开发一种皮肤温度测量方法，可以在临床环境中捕捉温度随时间的变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A novel skin temperature estimation system for predicting pressure injury occurrence based on continuous body sensor data: A pilot study

Background

Pressure injury prevention is important in older patients with immobility. This requires an accurate and efficient prediction of the development of pressure injuries. We aimed to develop a method for estimating skin temperature changes due to ischemia and inflammation using temperature sensors placed under bedsheets to provide an objective, non-invasive, and non-constrained risk assessment tool.

Methods

This study consisted of a thermal skin simulation study and a descriptive correlation study in healthy participants. A thermal skin simulation study was conducted using a model reproducing the body surface (underwear, diaper, or wet diaper conditions) and bed environment. In a descriptive-correlational study, the participants lay supine on a mattress with a temperature sensor attached to their sacral skin.

Findings

The thermal skin simulation study showed that temperature changes in the skin can be estimated under the sheets by inputting time-shifted temperature data into machine learning (R² = 0.9967 for underwear, 0.9950 for diapers, and 0.9869 for wet diapers). It was also demonstrated that the absolute skin temperature of a healthy individual (N = 17) could be estimated with the best accuracy by inputting time-shifted data into an extra-tree regressor (R² = 0.8145).

Interpretation

A combination of interface pressure and temperature sensors can be used to estimate skin temperature changes. These findings contribute to the development of a skin temperature measurement method that can capture temperature changes over time in clinical settings.

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来源期刊

Clinical Biomechanics 医学-工程：生物医学

CiteScore

3.30

自引率

5.60%

发文量

189

审稿时长

12.3 weeks

期刊介绍： Clinical Biomechanics is an international multidisciplinary journal of biomechanics with a focus on medical and clinical applications of new knowledge in the field. The science of biomechanics helps explain the causes of cell, tissue, organ and body system disorders, and supports clinicians in the diagnosis, prognosis and evaluation of treatment methods and technologies. Clinical Biomechanics aims to strengthen the links between laboratory and clinic by publishing cutting-edge biomechanics research which helps to explain the causes of injury and disease, and which provides evidence contributing to improved clinical management. A rigorous peer review system is employed and every attempt is made to process and publish top-quality papers promptly. Clinical Biomechanics explores all facets of body system, organ, tissue and cell biomechanics, with an emphasis on medical and clinical applications of the basic science aspects. The role of basic science is therefore recognized in a medical or clinical context. The readership of the journal closely reflects its multi-disciplinary contents, being a balance of scientists, engineers and clinicians. The contents are in the form of research papers, brief reports, review papers and correspondence, whilst special interest issues and supplements are published from time to time. Disciplines covered include biomechanics and mechanobiology at all scales, bioengineering and use of tissue engineering and biomaterials for clinical applications, biophysics, as well as biomechanical aspects of medical robotics, ergonomics, physical and occupational therapeutics and rehabilitation.