Monitoring mobile patients using predictive analysis by data from wearable sensors

Nowadays, we know health has to be given more attention as due to hybrid food, changing environment and many other factors many health problems are arising; which has lead the researchers to pay attention to healthcare monitoring systems. As many patients are hospitalized, monitoring them continuously is a bit tedious task. So some technique should be implemented to ease our task so we are proposing predictive monitoring technique to develop reliable patient monitoring system so that healthcare professionals can monitor their patient continuously by using wearable patient monitors. The proposed system uses sensors, the data acquisition unit, microcontroller (ie. Arduino) and software. This system is able to send alarm messages about the patient's critical health data by text messages or by email reports. By using this information the healthcare professional can provide necessary medical advising. Thus the proposed system removes some drawbacks of existing system and provides a reliable health monitoring system which will monitor health parameters such as ECG, RR, HR, BP and BG.