Sensor Solutions Laboratory, Samsung R&D Institute Russia, 127018, Moscow, Russia.
Health H/W R&D Group, Samsung Electronics, Suwon, 16678, Korea.
Sci Rep. 2023 Aug 17;13(1):13371. doi: 10.1038/s41598-023-40339-7.
Post-pandemic health operations have become a near-term reality, discussions around wearables are on the rise. How do wearable health solutions effectively deploy and use this opportunity to fill the gap between wellness and healthcare? In this paper, we will talk about wearable healthcare diagnosis, with a particular focus on monitoring skin hydration using optical multi-wavelength sensor fusion. Continuous monitoring of human skin hydration is a task of paramount importance for maintaining water loss dynamics for fitness lovers as well as for skin beauty, integrity and the health of the entire body. Preserving the appropriate levels of hydration ensures consistency of weight, positively affects psychological state, and proven to result in a decrease in blood pressure as well as the levels of "bad" cholesterol while slowing down the aging processes. Traditional methods for determining the state of water content in the skin do not allow continuous and non-invasive monitoring, which is required for variety of consumer, clinical and cosmetic applications. We present novel sensing technology and a pipeline for capturing, modeling and analysis of the skin hydration phenomena and associated changes therein. By expanding sensing capabilities built into the SmartWatch sensor and combining them with advanced modeling and Machine Learning (ML) algorithms, we identified several important characteristics of photoplethysmography (PPG) signal and spectral sensitivity corresponding to dynamics of skin water content. In a hardware aspect, we newly propose the expansion of SmartWatch capabilities with InfraRed light sources equipped with wavelengths of 970 nm and 1450 nm. Evaluation of the accuracy and characteristics of PPG sensors has been performed with biomedical optics-based simulation framework using Monte Carlo simulations. We performed rigorous validation of the developed technology using experimental and clinical studies. The developed pipeline serves as a tool in the ongoing studies of the next generation of optical sensing technology.
大流行后卫生业务已成为近期现实，可穿戴设备的讨论也在增加。可穿戴健康解决方案如何有效地利用这一机会，填补健康和医疗保健之间的差距？在本文中，我们将讨论可穿戴医疗诊断，特别关注使用光学多波长传感器融合来监测皮肤水合作用。连续监测人体皮肤水合作用对于保持健身爱好者的水分流失动态、皮肤美丽、完整性以及整个身体的健康至关重要。保持适当的水合水平可确保体重一致，对心理状态产生积极影响，并已被证明可降低血压和“坏”胆固醇水平，同时减缓衰老过程。传统的皮肤水分含量测定方法不允许进行连续的非侵入式监测，这是各种消费者、临床和美容应用所必需的。我们提出了新的传感技术和用于捕获、建模和分析皮肤水合现象及其相关变化的管道。通过扩展 SmartWatch 传感器内置的传感功能，并将其与先进的建模和机器学习 (ML) 算法相结合，我们确定了光体积描记术 (PPG) 信号的几个重要特征和对应于皮肤水分含量动态的光谱灵敏度。在硬件方面，我们新提出扩展 SmartWatch 功能，增加配备 970nm 和 1450nm 波长的红外光源。使用基于生物医学光学的蒙特卡罗模拟框架评估了 PPG 传感器的准确性和特性。我们使用实验和临床研究对开发的技术进行了严格验证。开发的管道可作为下一代光学传感技术正在进行的研究的工具。
