Internet-of-things-enabled connected smart inhaler system used for real-time respiratory health monitoring and management of patient based on artificial intelligence, has smart inhaler device node equipped with Arduino tiny machine learning kit, nRF module, flow sensor and pressure sensor
	SHRIVASTAVA V
	2025-03-29
专利权人	UNIV GALGOTIAS (UYGA-Non-standard)
申请日期	2025-03-29
专利号	IN202511031231-A
成果简介	NOVELTY - The system has a smart inhaler device node equipped with an Arduino(RTM: Open-source electronics prototyping platform) tiny machine learning kit (36), an nRF module (33), a flow sensor (35), a pressure sensor (34), and a power supply (32). A patient monitoring node continuously tracks vital respiratory parameters, and enables real-time health assessment and early detection of respiratory issues. A Jetson nano processor board is integrated within an artificial intelligence (AI)-processing and cloud connectivity node. A global system for mobile communication (GSM)module enables cloud-based remote access to patient health data, and improves accessibility and treatment outcomes. USE - Internet-of-things (IoT)-enabled connected smart inhaler system used for real-time respiratory health monitoring and management of patient based on AI. ADVANTAGE - The system enables remote monitoring through cloud connectivity, allows healthcare providers to access real-time data and optimize treatment strategies. The system enhances medication adherence, facilitates simple intervention, and improves overall respiratory care, reduces the risk of severe complications and hospitalizations. The smart inhaler device detects inhalation patterns, pressure variations, and environmental conditions, ensures precise drug delivery and usage tracking. The patient monitoring unit continuously measures vital respiratory parameters, where the vital respiratory parameters include oxygen saturation and body movement to assess the user's health status. The system wirelessly transmits collected data to an artificial intelligence (AI)-powered processing unit, which analyzes the information, detects anomalies, and provides predictive insights for personalized respiratory care. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of an IoT-enabled connected smart inhaler system. 31DHT sensor 32Power supply 33nRF module 34Pressure sensor 35Flow sensor 36Arduino tiny machine learning kit
IPC 分类号	A61B-005/00 ; A61B-005/08 ; A61M-015/00 ; A61M-016/00 ; G16H-050/20
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/13340
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV GALGOTIAS (UYGA-Non-standard)
推荐引用方式 GB/T 7714	SHRIVASTAVA V. Internet-of-things-enabled connected smart inhaler system used for real-time respiratory health monitoring and management of patient based on artificial intelligence, has smart inhaler device node equipped with Arduino tiny machine learning kit, nRF module, flow sensor and pressure sensor. IN202511031231-A[P]. 2025.

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