The project “Smart m-Health Application for Pregnancy Care Using Body Area Networks” developed with MySignals eHealth platform won the Most Innovative Project award at the 2nd International Saudi Health Informatics Conference (ISHIC) 2017 in Riyadh, Saudi Arabia.

Hypertensive disorders and gestational diabetes are the most common diseases during pregnancy. Hypertension causes about 10% of maternal deaths and gestational diabetes has an incidence rate of 9,2%. Remote patient monitoring can help in early detection of risk situations. Mobile devices have a great potential in providing health care to pregnant women and can assist in monitoring their health remotely.

A group of students of Princess Nora University in Saudi Arabia have proposed a system for pregnancy care using MySignals, the development platform for medical devices and eHealth applications created by Libelium.

The complete system includes MySignals HW system and mobile application GluPre, which alerts patients to take measurements at specific times. Information is sent via Bluetooth from sensors to MySignals platform and from MySignals platform to the GluPre mobile application.

The application monitors blood sugar as well as blood pressure levels of pregnant women using wireless sensors:

  • Glucometer BLE sensor
  • Blood pressure BLE sensor
  • The software application uses decision-based tree classification algorithms to better identify risks helping the physician in the decision-making process during the patient appointment and to prevent emergency situations. For more information about our products contact the Libelium Sales Department.

Smart m-Health Application for Pregnancy Care Using Body Area Networks project diagram

Mobile application layout

The software application uses decision-based tree classification algorithms to better identify risks helping the physician in the decision-making process during the patient appointment and to prevent emergency situations.

For more information about our products contact the Libelium Sales Department.

More information:

MySignals Blood Pressure and Glucometer BLE sensors

MySignals Blood Pressure and Glucometer BLE sensors

More info:

Watch how Libelium is powering the IoT Revolution

References:

Project supervised by Dr Nagwan Abdel Samee.
Students: May Nasser Al-Hajri (project leader), Manal Ali Al-Shamrani, Ghadeer Ibrahem Al-Koblan, Amal Mohammed Al-Qahtani and Wejdan Saleh Al-Zahrani.

Discover more about MySignals at my-signals.com

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