论文标题
Sayopillow:一个支持区块链的,由隐私识别的框架,用于识别IOMT中的睡眠习惯,以进行压力检测,预测和控制
SaYoPillow: A Blockchain-Enabled, Privacy-Assured Framework for Stress Detection, Prediction and Control Considering Sleeping Habits in the IoMT
论文作者
论文摘要
考虑到当今的生活方式,人们只是睡着忘记了它给人体带来的好处。没有生产力睡眠的原因可能很多。 Smart-Yoga Pillow(Sayopillow)被设想为一种设备,可以帮助人们认识到高质量睡眠以减轻压力的重要性,同时在压力和睡眠习惯之间建立可衡量的关系。在当前工作中提出了一个系统,通过连续监测快速眼动(REM)和非比型眼运动(NREM)阶段的生理变化来分析睡眠习惯的系统。除了生理参数的变化外,还监测了睡眠持续时间,打呼范围,眼动和肢体运动等因素。 Sayopillow系统在边缘级别处理,存储位于云处。 Sayopillow不必损害用户的隐私,而是提出了用于上传和检索的安全数据传输,以及安全的存储和通信,以减少对医疗保健的恶意攻击。为用户提供了用户界面,以控制数据可访问性和可见性。 Sayopillow具有96%的精度,与其他现有研究工作接近。但是,Sayopillow是唯一具有安全功能的工作,也是仅考虑压力习惯的工作。
Considering today's lifestyle, people just sleep forgetting the benefits it provides to the human body. The reasons for not having a productive sleep could be many. Smart-Yoga Pillow (SaYoPillow) is envisioned as a device that may help in recognizing the importance of a good quality sleep to alleviate stress while establishing a measurable relationship between stress and sleeping habits. A system that analyzes the sleeping habits by continuously monitoring the physiological changes that occur during rapid eye movement (REM) and non-rapid eye movement (NREM) stages of sleep is proposed in the current work. In addition to the physiological parameter changes, factors such as sleep duration, snoring range, eye movement, and limb movements are also monitored. The SaYoPillow system is processed at the edge level with the storage being at the cloud. Not having to compromise the user's privacy, SaYoPillow proposes secure data transmission for both uploading and retrieving, and secure storage and communications as an attempt to reduce malicious attacks on healthcare. A user interface is provided for the user to control data accessibility and visibility. SaYoPillow has 96% accuracy which is close to other existing research works. However, SaYoPillow is the only work with security features as well as only work that considers sleeping habits for stress.