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Massimo W. Rivolta

Researcher at University of Milan

Publications -  57
Citations -  440

Massimo W. Rivolta is an academic researcher from University of Milan. The author has contributed to research in topics: Repolarization & QT interval. The author has an hindex of 9, co-authored 57 publications receiving 304 citations. Previous affiliations of Massimo W. Rivolta include Polytechnic University of Milan.

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Pilot Test of a New Personal Health System Integrating Environmental and Wearable Sensors for Telemonitoring and Care of Elderly People at Home (SMARTA Project)

TL;DR: Both elderly people and clinical operators considered the SMARTA system a promising and attractive tool for improving patients' healthcare while reducing related costs and preserving quality of life, but the moderate reliability of the system should prompt further technical developments in terms of sensor integration and usability of the clinical operator's user interface.
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Brain sparing effect in growth-restricted fetuses is associated with decreased cardiac acceleration and deceleration capacities: a case–control study

TL;DR: Phase rectified signal averaging (PRSA) is a new method of fetal heart rate variability (fHRV) analysis that quantifies the average acceleration (AC) and deceleration capacity (DC) of the heart.
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Parameters influence on acceleration and deceleration capacity based on trans-abdominal ECG in early fetal growth restriction at different gestational age epochs

TL;DR: The study shows that within the range of T parameter 1÷45, T=9 proved to be the best value to discriminate the AC and DC of the fetal heart rate of IUGR from AGA fetuses prior to 34 weeks of gestation.
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Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis

TL;DR: This work investigates the use of objective measures obtained from a wearable accelerometer to evaluate the fall risk, determined by the Tinetti clinical scale, and might foster the development of a new generation of applications meant to monitor the time evolution of theFall risk using low cost devices at home.