Author: Zen and the Art of Computer Programming
As people pay more and more attention to health, how to keep everyone healthy has become an important issue in social development. At present, there are many products and services around the world that can help people manage their health, such as mobile phone applications, smart bracelets, electronic fences, and so on. In the field of smart health, there are also some mature products or services such as thermometers, blood pressure monitors, heart rate monitors, etc. However, for some groups of people, in the face of increasingly complex health monitoring needs and the continuous updating of relevant medical information, its functions and effects still have certain deficiencies. Therefore, how to improve the performance of existing monitoring equipment and further optimize its detection capabilities and user experience through new artificial intelligence (AI) technology is an important issue. This article will focus on the research and related products on the most well-known "pneumonia" infectious disease in the field of intelligent health monitoring.
2. Explanation of basic concepts and terms
2.1 Smart Health Monitoring
Intelligent Health Monitoring (Intelligent Health Monitoring) is referred to as IHM. IHM refers to a method based on computer technology, biology, psychology, etc., through the analysis of various physiological data, behavioral characteristics, personal risk factors, and environmental health conditions of people, to formulate diagnostic criteria, generate health recommendations, and improve the quality of human life. Comprehensive health management system. In general, an intelligent health monitoring system consists of the following modules:
- Data collection: collect and process the physiological data of the ward, including personal information, heartbeat, respiration, blood pressure, body temperature, posture, diet, clothing, location, etc.
- Physiological feature recognition: Perform feature recognition on the collected physiological data to obtain key indicators for evaluating people's health status. Such as body temperature detection, blood pressure detection, fatigue detection, respiratory rate detection, respiratory change detection, posture detection, danger signal detection, etc.
- Data analysis: use analytical and statistical methods to comprehensively analyze the data of various physiological indicators to obtain a more comprehensive understanding of people's health status. For example, it is possible to judge whether human behavior characteristics are abnormal through the correlation between various index data; to improve the monitoring accuracy by combining multiple index data for prediction.