Table 7 Comparison with related work in IoT for Healthcare

[23]

Client computer with IoT sensors: AD8232 ECG Monitor.

Presence/Absence of disease only

Not done

No

[25]

IoMT Based cloud infrastructure having client computers as User Interface (UI). Sensor technologies not specified.

Presence/ Absence of disease only

Not done

Monitoring only

[9]

IoT based disease diagnosis model with IoT gadgets. Sensor technologies and UI not specified.

presence and absence of heart disease only

Done using means of ten-fold cross validation

No

[10]

IoT body area network (BAN) using ECG and heart rate sensors and smart phone based Platform as UI.

Presence/Absence of disease only

Not Done

No

[24]

IoT based patient monitoring system using Pressure Sensor, Heart Rate sensor etc. UI not mentioned.

presence and absence of stroke risk only

Not Done

Yes

[30]

IoT based prediction and monitoring system having blood pressure, pulse, oximeter sensors. UI not mentioned.

Presence/Absence of disease only

Not done

Yes

Proposed

Android Device with Iot based wearable Integrated Device incorporating AD8232 ECG Monitor, Blood Pressure Monitor and Heart rate sensors.

Two type of prediction:

Detailed system evaluation done in terms of effectiveness, efficiency and satisfaction on both quantitative and qualitative data extracted from 40 participants

Real- time monitoring system with constant checking of anomalies in ECG, BP and Heart rate and emergency alert

1. Presence/Absence of disease (Two zone classification)

2. Disease risk level determination (Three-zone classification)