IoT-Based Pulmonary Monitoring System

Common hospital monitoring set up includes nurses taking rounds throughout their assigned wards and checking the patient's vital signs. This process is very time consuming and prone to human errors, especially for large scale hospitals. As a solution, an Internet of Things (IoT) based pulmonary monitoring system was proposed. The system uses a single-lead heart rate sensor connected to a microcontroller that is plugged to a computer that has an application which is capable of processing pulmonary rates by passing the data to a C# and MATLAB program and plotting waveforms from the derivation of the Electrocardiogram (ECG) readings (ECG-Derived Respiration or EDR), and forward the information to the Internet to be stored in a database. The collected information can be viewed in a website and accessed by relevant individuals (doctors and patient's relative). The critical value generated from the t-test is 1.701 and 2.048 for the one-tail and two-tail test, respectively. These values lie in the non-critical region indicating that there was no significant difference between the two sample sets. The average percent difference between the EDR rates is 4.1362%. The percent reliability in detecting respiration conditions is 93.3333%. The patient records were also validated to be stored in the database, as indicated by the results displayed in the website after data transmission. Testing of the device showed that it is functional and reliable.