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. 2023 Jan 24;154:106583. doi: 10.1016/j.compbiomed.2023.106583

Table 3.

Steps of the proposed network of our system.

Step Description
1 The ECG signal is generated from an ECG sensor connected to the patient.
2 The microcontroller receives the ECG signal and delivers it to a client process running on a local computer.
3 The client process starts a timer, transmits the ECG signal to the IoT-Blynk web platform, sends an SMTP message to the patient’s doctor, and moves to a waiting state.
4 The doctor receives a warning message and connects to the IoT-Blynk web platform to analyze the ECG signal.
5 The doctor, from a mobile application, generates a diagnosis and sends the alert message to the patient’s medical staff (the client process receives a copy of the message).
6 If after a predetermined time there is no alert message from the doctor, the client process sends a request to the intelligent system.
7 The intelligent system, using fuzzy logic, analyzes the ECG signal, generates a diagnosis, and sends the alert message to the patient’s medical staff.
8 In either case, the patient’s medical staff receives the alert message and takes the necessary medical actions to benefit the patient’s health.