El Grup de Recerca en Sensors Intel·ligents Integrats i Tecnologies per a la Salut (ISSET) està constituït per membres de la UPC (Campus Nord, Diagonal-Besòs i Campus de Vilanova), que formen part del CETpD (Centre d'Estudis Tecnològics per a la Dependència) i experts que pertanyen a l'àmbit mèdic i de la salut. Les àrees de recerca inclouen: Disseny digital i VLSI, Sensors integrats, CMOS-MEMS, Embedded Systems, Intel·ligència artificial, deep learning, eHealth i ajut a la dependència.

The Integrated Smart Sensors and Health Technologies (ISSET) Research Group is composed by UPC members (Campus Nord, Diagonal-Besòs and Vilanova Campus), which are part of the CETpD (Center for Technological Studies for the Unit) and experts belonging to the medical and health fields. The research areas include: Digital design and VLSI, CMOS-MEMS, Integrated sensors, Embedded Systems, Artificial Intelligence, Deep Learning, eHealth and Dependency Aid.

The Integrated Smart Sensors and Health Technologies (ISSET) Research Group is composed by UPC members (Campus Nord, Diagonal-Besòs and Vilanova Campus), which are part of the CETpD (Center for Technological Studies for the Unit) and experts belonging to the medical and health fields. The research areas include: Digital design and VLSI, CMOS-MEMS, Integrated sensors, Embedded Systems, Artificial Intelligence, Deep Learning, eHealth and Dependency Aid.

Recent Submissions

  • The future roadmap of in-vehicle network processing: a HW-centric (R-)evolution 

    González Mariño, Ángela; Fons, Francesc; Moreno Aróstegui, Juan Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2022-06-27)
    Article
    Open Access
    The automotive industry is undergoing a deep revolution. With the race towards autonomous driving, the amount of technologies, sensors and actuators that need to be integrated in the vehicle increases exponentially. This ...
  • Artificial intelligence contribution to eHealth application 

    Cabestany Moncusí, Joan; Rodríguez Martín, Daniel Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Restricted access - publisher's policy
    A presentation of the eHealth related concepts and challenges is done, together with an analysis on how the use of the Artificial Intelligence (AI) techniques can improve the management of the data generated by the eHealth ...
  • Fifteen years of wireless sensors for balance assessment in neurological disorders 

    Zampogna, Alessandro; Mileti, Ilaria; Palermo, Eduardo; Celletti, Claudia; Paoloni, Marco; Manoni, Alessandro; Mazzetta, Ivan; Costa, Gloria Dalla; Pérez López, Carlos; Camerota, Filippo; Leocani, Letizia; Cabestany Moncusí, Joan; Irrera, Fernanda; Suppa, Antonio (Multidisciplinary Digital Publishing Institute (MDPI), 2020-06-07)
    Article
    Open Access
    Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological ...
  • Loopback strategy for TSN-compliant traffic queueing and shaping in automotive gateways 

    González Mariño, Ángela; Fons, Francesc; Zhang, Haigang; Moreno Aróstegui, Juan Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Restricted access - publisher's policy
    In this work, authors present a Hardware (HW)based loopback strategy which is a new paradigm in networkprocessing, for HW efficient and cost-effective integration of TimeSensitive Networking (TSN) functionalities within ...
  • Traffic shaping engine for time sensitive networking integration within in-vehicle networks 

    González Mariño, Ángela; Fons, Francesc; Zhang, Haigang; Moreno Aróstegui, Juan Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Restricted access - publisher's policy
    In this work authors present a Traffic Shaping Engine (TSE) intended for the next generation of Time Sensitive Networking (TSN) compliant Network/System on Chip (NoC/SoC) devices, targeting especially the automotive industry. ...
  • Elastic queueing engine for time sensitive networking 

    González Mariño, Ángela; Fons, Francesc; Gharba, Ahmed; Ming, Li; Moreno Aróstegui, Juan Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Restricted access - publisher's policy
    In this work we introduce the concept of Elastic Queueing Engine (EQE) for Time Sensitive Networking (TSN) which is a new networking-optimized queueing strategy designed to maximize Quality of Service (QoS) and usability ...
  • A test setup for the characterization of Lorentz-force MEMS magnetometers 

    Sánchez Chiva, José María; Valle Fraga, Juan José; Fernández Martínez, Daniel; Madrenas Boadas, Jordi (2021-09-13)
    Article
    Open Access
    Lorentz-force MEMS magnetometers are interesting candidates for the replacement of magnetometers in consumer electronics products. Plenty of works in the literature propose MEMS magnetometers, their readout circuits and ...
  • Loopback strategy for in-vehicle network processing in automotive gateway network on chip 

    González Mariño, Ángela; Fons, Francesc; Zhang, Haigang; Moreno Aróstegui, Juan Manuel (Association for Computing Machinery (ACM), 2021)
    Conference report
    Restricted access - publisher's policy
    In this work, authors introduce an innovative loopback strategy for In-Vehicle Network (IVN) processing in automotive gateway (GW) Network on Chip. The new proposed architecture is fully HW centric, and allows performing ...
  • Hardware-software co-design for efficient and scalable real-time emulation of SNNs on the edge 

    Oltra Oltra, Josep Angel; Madrenas Boadas, Jordi; Zapata Rodríguez, Mireya; Vallejo Mancero, Bernardo Javier; Mata Hernández, Diana; Sato, Shigeo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Restricted access - publisher's policy
    This paper introduces a novel workflow for Distributed Spiking Neural Network Architecture (DSNA). As such, the hardware implementation of Single Instruction Multiple Data (SIMD)-based Spiking Neural Network (SNN) requires ...
  • Manufacturing Issues of BEOL CMOS-MEMS Devices 

    Valle Fraga, Juan José; Fernández Martínez, Daniel; Gibrat, Olivier; Madrenas Boadas, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2021-06-07)
    Article
    Open Access
    In this paper we present a comprehensive report on the issues found during the manufacturing of high-yield CMOS-MEMS sensors based on vapor-phase hydrogen fluoride (vapor- HF ) oxide etching. During the study we have ...
  • A new beam synchronous processing architecture with a fixed frequency processing clock: application to transient beam loading compensation in the CERN SPS machine 

    Galindo Guarch, Francisco Javier; Baudrenghien, Philippe; Moreno Aróstegui, Juan Manuel (2021-02-01)
    Article
    Open Access
    New projects being implemented or planned at CERN, such as the LHC Injectors Upgrade (LIU), the High-Luminosity LHC (HL-LHC) or the Future Circular Collider (FCC), motivate the change of several architectural paradigms in ...
  • A cmos-mems beol 2-axis lorentz-force magnetometer with device-level offset cancellation 

    Sánchez Chiva, José María; Valle Fraga, Juan José; Fernández, Daniel; Madrenas Boadas, Jordi (2020-10-19)
    Article
    Open Access
    Lorentz-force Microelectromechanical Systems (MEMS) magnetometers have been proposed as a replacement for magnetometers currently used in consumer electronics market. Being MEMS devices, they can be manufactured in the ...

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