P
Pedro Silva Girao
Researcher at Instituto Superior Técnico
Publications - 202
Citations - 2813
Pedro Silva Girao is an academic researcher from Instituto Superior Técnico. The author has contributed to research in topics: Wireless sensor network & Data acquisition. The author has an hindex of 25, co-authored 202 publications receiving 2534 citations. Previous affiliations of Pedro Silva Girao include ALFA & ISCTE – University Institute of Lisbon.
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Journal ArticleDOI
Smart Sensors Network for Air Quality Monitoring Applications
TL;DR: The work presents a network for indoor and outdoor air quality monitoring whose nodes include tin dioxide sensor arrays connected to an acquisition and control system with WiFi communication capabilities and advanced processing based on multi-input single-output neural networks is implemented at the network sensing nodes.
Proceedings ArticleDOI
Smart Sensor Network for Air Quality Monitoring Applications
TL;DR: Advanced processing based on multiple-input-single-output neural networks is implemented at the network sensing nodes to obtain temperature and humidity compensated gas concentration values.
Journal ArticleDOI
Tactile sensors for robotic applications
TL;DR: The basic aspects related with tactile sensors, including transduction techniques are revisited, and the brief analysis of the state-of-the-art of tactile sensing techniques that follows provides indicators to conclude on the future of tactile sensor techniques in the context of robotic applications.
Journal ArticleDOI
Theory and Developments in an Unobtrusive Cardiovascular System Representation: Ballistocardiography
TL;DR: It is pertinent to revise all the information available on the ballistocardiogram’s physiological interpretation, its typical waveform information, its features and distortions, as well as the state of the art in device implementations.
Journal ArticleDOI
Physiological Parameters Measurement Based on Wheelchair Embedded Sensors and Advanced Signal Processing
TL;DR: A multisensing system with wireless communication capabilities embedded on a smart wheelchair that can measure physiological parameters such as heart rate and respiratory rate in an unobtrusive way and wavelet-based filtering and independent component analysis algorithms are presented.