Today, the increasing need for medical assistance has positioned smart health care as a critical component of modern living. Health care is a fundamental human necessity and forms the backbone of smart healthcare systems, which are expected to generate billions of dollars in sales in the near future. Smart health care has several components including Internet of Things (IoT), fog computing, next-generation wireless communication technologies, and artificial intelligence (AI). Due to the ability of IoT devices to include sensors, IoT will play a significant role in the healthcare industry. It is used to remotely monitor human health issues in real time. This information flow with rich data cannot be handled by cloud infrastructure alone. Hence, we came up with an effective solution. When utilizing FOG as a median, this may provide excellent insight into precise vital values. Machine learning techniques are utilized in notification systems to address the issues. These algorithms are designed to enhance how a prediction process using diverse inputs is executed.

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Fog Computing in Health Monitoring Using IOT Wearables

  • Pundru Harshitha,
  • Varshika Reddy,
  • P. Rishikesh,
  • S. Jyothi,
  • Katta Subba Rao

摘要

Today, the increasing need for medical assistance has positioned smart health care as a critical component of modern living. Health care is a fundamental human necessity and forms the backbone of smart healthcare systems, which are expected to generate billions of dollars in sales in the near future. Smart health care has several components including Internet of Things (IoT), fog computing, next-generation wireless communication technologies, and artificial intelligence (AI). Due to the ability of IoT devices to include sensors, IoT will play a significant role in the healthcare industry. It is used to remotely monitor human health issues in real time. This information flow with rich data cannot be handled by cloud infrastructure alone. Hence, we came up with an effective solution. When utilizing FOG as a median, this may provide excellent insight into precise vital values. Machine learning techniques are utilized in notification systems to address the issues. These algorithms are designed to enhance how a prediction process using diverse inputs is executed.