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Innovative technologies to predict and prevent ischemic stroke

Development of an algorithm to calculate the risk of stroke and to adopt strategies capable of substantially reducing it by intervening on modifiable factors

Project objectives

The aim of this study is to identify simple and innovative tools, such as wearable devices/wristbands, that can measure an individual's stroke risk based on the presence of various modifiable risk factors and provide guidance on how to implement effective and personalized corrective interventions. Specifically, the objectives of the trial are to: reduce the risk of cerebrovascular events in patients who have previously suffered a stroke or TIA; and develop an algorithm based on data acquired from wearable sensors and clinical history (blood pressure, heart rate, oximetry, lifestyle habits) that can calculate and predict the risk of major cerebrovascular events (particularly stroke and TIA) in at-risk patients, with the aim of developing individualized prevention programs.

Start and end date

2018 - 2019

Project Manager

Prof. Vincenzo Di Lazzaro - Director of the Neurology Research Unit

Coordinating institution of the project

Università Campus Bio-Medico di Roma

Funding source(s).

Non-Profit Project (created with the contribution of the ANIA Foundation)

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