We claim the following;
1. A novel IoT based automatic early detection system to predict the peripheral neuropathy disorder comprises of:
- a wearable device (1) equipped with sensors for the real-time monitoring of the individual's physical activity, plantar temperature, pressure, heart rate, and blood glucose level
- a signal processing unit adapted to obtain the digital values of the signals for further processing of the data.
- a wearable device application that collects sensor data from the device and sends it to the fog server (25) for further processing via LoRaWAN.
- a secured fog computing platform (3) embedded with a web portal (22) for user registration based on the unique wearable device ID, a user interface to visualize (23) the summaries of the data collected from the mobile device, and a secured data transfer system to send data from fog server to the mobile device and vice versa.
- an application program is embedded into the secured fog server (25) for detecting peripheral neuropathy disorder.
- a mobile user interface (19) includes the display of the user's profile data, SMS service is used to send the alert notification to the caretaker of the user when he/she experiences any disorder.
2. The wearable device (1) mentioned in claim 1 includes Photoplethysmography sensor (13), Pressure sensor (14), Heart rate monitoring Sensor(15), Temperature sensor(16), Continuous glucose monitoring sensor(17), and Pedometer sensor (18) used to monitor the various blood flow, foot pressure, heart rate, plantar temperature, blood glucose level and physical activity of the diabetic user.
3. The wearable device (1) mentioned in claim 1, wherein the location of the user is monitored using the embedded GPS sensor (10)
4. The secured fog platform mentioned in claim 1, wherein the received data is stored in a fault tolerance database for efficient storage and retrieval of data.
5. The secured fog computing platform mentioned in claim 1, wherein an application program is implemented to predict the abnormalities by comparing it with the normal range values.
6. The user interface of the mobile application mentioned in claim 1, to get the recorded values at any time and an alert message is sent to the care taker of the user when they experience any anomaly.