Cyber-Physical Platform for Preeclampsia Detection

by   Iuliana Marin, et al.

Hypertension-related conditions are the most prevalent complications of pregnancy worldwide. They manifest in up to 8 can lead to serious detrimental effects. Early detection of their sudden onset can help physicians alleviate the condition and improve outcomes for both would-be mother and baby. Today's prevalence of smartphones and cost-effective wearable technology provide new opportunities for individualized medicine. Existing devices promote heart health, they monitor and encourage physical activity and measure sleep quality. This builds interest and encourages users to require more advanced features. We believe these aspects form suitable conditions to create and market specialized wearable devices. The present paper details a cyber-physical system built around an intelligent bracelet for monitoring hypertension-related conditions tailored to pregnant women. The bracelet uses a microfluidic layer that is compressed by the blood pressing against the arterial wall. Integrated sensors register the waveform and send it to the user's smartphone, where the systolic and diastolic values are determined. The system is currently developed under European Union research funding, and includes a software server where data is stored and further processing is carried out through machine learning.



There are no comments yet.


page 1

page 2

page 3

page 4


Indoor Localization Techniques Within a Home Monitoring Platform

This paper details a number of indoor localization techniques developed ...

MyWear: A Smart Wear for Continuous Body Vital Monitoring and Emergency Alert

Smart healthcare which is built as healthcare Cyber-Physical System (H-C...

Building a Decision Support System for Automated Mobile Asthma Monitoring in Remote Areas

Advances in mobile computing have paved the way for the development of s...

Extraction of Behavioral Features from Smartphone and Wearable Data

The rich set of sensors in smartphones and wearable devices provides the...

Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data

We consider the problem of modeling cardiovascular responses to physical...

Intelligent Luminaire based Real-time Indoor Positioning for Assisted Living

This paper presents an experimental evaluation on the accuracy of indoor...

Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices

Wearable devices such as smartwatches, fitness trackers, and blood-press...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.