Internet of things based smart pillow advance health sensing system for measuring sleep patterns and diseases that effect head movement of patient, has infrared sensors and electronics prototyping design system module for continuous health remote monitoring in real time
2023-10-16
专利权人BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期2023-10-16
专利号IN202341069860-A
成果简介NOVELTY - The system has infrared (IR ) sensors and Arduino uno(RTM: Electronics prototyping design system) module for continuous health monitoring in real time. A smart pillow comprises an internet of things (IoT) single mode chip, which connects temperature sensors and a humidity sensor by input and output ports. The system measures sleep patterns and diseases that effect head movement. Sensory data is collected and pre-processed by the IoT chip and reported to a mobile phone or Wi-Fiagent by Bluetooth, and uploaded to a cloud server by Internet. USE - IoT based smart pillow advance health sensing system for measuring sleep patterns and diseases that effect head movement of a patient. ADVANTAGE - The system provides a straight-forward way to observe sleep conditions by employing temperature and humidity sensors implanted inside the pillow. The system uses a cloud-based health-sensing system built in the smart pillow to collect and analyze data, thus proving statistical and inferred results reflect normal and abnormal conditions of sleep accurately. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of an IoT based smart pillow advance health sensing system.
IPC 分类号A61B-005/00 ; G16H-040/67 ; G16H-050/30
国家印度
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/19650
专题中国科学院新疆生态与地理研究所
作者单位
BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式
GB/T 7714
PRASATH M T,MONIKA B,SREE N B. Internet of things based smart pillow advance health sensing system for measuring sleep patterns and diseases that effect head movement of patient, has infrared sensors and electronics prototyping design system module for continuous health remote monitoring in real time. IN202341069860-A[P]. 2023.
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