IoT self - diagnostic method of chronic obstructive pulmonary disease based on IoT

摘要

In the present invention, the IoT-based self-diagnosing method for chronic obstructive pulmonary disease uses an IoT-based dual mode wearable healthcare device and a smart device installed with a lung capacity analysis application to communicate with each other, and the IoT-based dual mode wearable healthcare device detects the user's lung capacity and is smart. When a lung disease signal is transmitted to a device, the smart device calculates lung disease information and performs self-diagnosis. The present invention IoT-based chronic obstructive pulmonary disease self-diagnosis method can measure the lung capacity regardless of the place, and reduces the cost of visiting a medical institution through remote / always monitoring and improves the quality of medical services through remote / always monitoring. Can, satisfies all of accuracy, mobility, price, and scalability, and reduces data communication cost through IoT-based communication such as Wifi, Bluetooth, and has a remarkable effect of providing a smart diary-based healthcare service.