About
14
Publications
3,438
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
41
Citations
Citations since 2017
Publications
Publications (14)
Preterm birth (PTB), or birth before the completion of 37 weeks of pregnancy, is the leading cause of neonatal morbidity and mortality and the second-leading cause of death in children under the age of five. The importance of early intervention to prevent and reduce the impact of PTB is clear. However, no solution is currently available to easily a...
Title* Early labour detection in laboratory and free-living conditions using combined electrohysterography and heart rate data Objective * Detection and management of complications such as preterm birth, could be improved by early labour detection. In our previous work, we showed that specific patterns in physiological data such as electrohysterogr...
Detection and management of complications such as preterm birth, could be improved by early labour detection. In our previous work, we showed that specific patterns in physiological data such as electrohysterography (EHG) and heart rate (HR) could be used to build predictive statistical models able to detect labour. In this work we highlight how ph...
In this paper we show early evidence of the feasibility of detecting labour during pregnancy, non-invasively and in free-living. In particular, we present machine learning models aiming at dealing with the challenges of unsupervised, free-living data collection, such as identifying periods of high quality data and detecting physiological changes as...
In this paper we propose a method combining electrohysterography (EHG) and heart rate (HR) data to detect labour. Labour detection may be helpful in providing just in time care and avoiding unnecessary antenatal visits. Given specific changes in physiological data such as EHG and HR highlighted from previous literature in correspondence of uterine...
In this paper, we propose a method to improve accuracy of fetal kicks detection during pregnancy using a single wearable device placed on the abdomen. Monitoring fetal wellbeing is key in modern obstetrics as it is routinely used as a proxy to fetal movement. However, accurate, nonin-vasive, long-term monitoring of fetal movement is challenging, es...
The color-word Stroop paradigm is a neuropsychological test often employed for the evaluation of the cognitive processing when a conflict between different attributes of the same visual stimulus is present. In clinical environments, the standard practice for the Stroop test administration is still based on paper supports and stopwatches. Thus, the...
Projects
Project (1)
Bloomlife is a digital health startup focusing on helping expecting mothers have a healthy pregnancy. We are taking a data driven approach, combining data collected in clinical settings as well as consumer generated data to help shedding light on many poorly understood links between physiological changes naturally occurring during pregnancy, behavior and pregnancy outcomes.
Some of the applications we are working on are contraction detection (see our first product: https://bloomlife.com/), fetal movement monitoring, labour detection & maternal health.
We are particularly interested in the opportunities arising from crowdsourcing clinical research, by providing consumers with clinical grade tools and data and analyzing such data at a scale beyond what is possible in regular clinical studies.
All our published research is available in this project.
