Publications associées à Fitbit

INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection

David Atienza Alonso, Giovanni Ansaloni, Tomas Teijeiro Campo, Renaud Marquis

Wearable Health Companions allow the unobtrusive monitoring of patients affected by chronic conditions. In particular, by acquiring and interpreting bio-signals, they enable the detection of acute episodes in cardiac and neurological ailments. Nevertheless ...

IEEE2022

Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer

Christine Choirat

Background: Physical activity and sleep are behavioral risk factors for cancer that may be influenced by environmental exposures, including built and natural environments. However, many studies in this area are limited by residence-based exposure assessmen ...

2020

Lab on skin™: 3D monolithically integrated zero-energy micro/nanofludics and FD SOI ion sensitive FETs for wearable multi-sensing sweat applications

Mihai Adrian Ionescu, Erick Antonio Garcia Cordero, Johan Frédéric Longo, Francesco Bellando, Hoël Maxime Guérin, Fabien Patrick Wildhaber

This paper reports a novel fully integrated low power multi-sensing smart system, which, by wafer-level 3D heterogeneous integration of Ion Sensitive Fully Depleted (FD) FETs and SU-8 micro/nanofludics, achieves the first of its kind wearable multi-sensing ...

2017

Can Fitness Trackers Help Diabetic and Obese Users Make and Sustain Lifestyle Changes?

Pearl Pu Faltings, Yu Chen

Diabetic and obese users given a Fitbit fitness tracker for seven months identified the device's playfulness, practicality, persuasiveness, personalization, and privacy as the top motivators for its use. These results provide insights into designing wearab ...

Ieee Computer Soc2017