amsys 11(1): e5

Research Article

FM-CW radar sensors for vital signs and motor activity monitoring

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  • @ARTICLE{10.4108/trans.amsys.2011.e5,
        author={Octavian Adrian Postolache and Pedro Manuel Brito da Silva Gir\"{a}o and Jos\^{e}  Miguel Costa Dias Pereira and Gabriela Postolache},
        title={FM-CW radar sensors for vital signs and motor activity monitoring},
        journal={EAI Endorsed Transactions on Ambient Systems},
        volume={1},
        number={1},
        publisher={ICST},
        journal_a={AMSYS},
        year={2011},
        month={12},
        keywords={FM-CW Doppler radar, smart phone, smart walker, smart wheelchair},
        doi={10.4108/trans.amsys.2011.e5}
    }
    
  • Octavian Adrian Postolache
    Pedro Manuel Brito da Silva Girão
    José Miguel Costa Dias Pereira
    Gabriela Postolache
    Year: 2011
    FM-CW radar sensors for vital signs and motor activity monitoring
    AMSYS
    ICST
    DOI: 10.4108/trans.amsys.2011.e5
Octavian Adrian Postolache1,*, Pedro Manuel Brito da Silva Girão2, José Miguel Costa Dias Pereira1, Gabriela Postolache3
  • 1: Instituto de Telecomunicações/LabIM/EST/IPS, Portugal
  • 2: Instituto de Telecomunicações/DEEC/IST/UTL, Av. Rovisco Pais, Lisbon, Portugal
  • 3: Escola Superior de Saúde, Universidade Atlântica, Oeiras, Portugal
*Contact email: octavian.postolache@gmail.com

Abstract

The article summarizes on-going research on vital signs and motor activity monitoring based on radar sensors embedded in wheelchairs, walkers and crutches for in home rehabilitation. Embedded sensors, conditioning circuits, real-time platforms that perform data acquisition, auto-identification, primary data processing and data communication contribute to convert daily used objects in home rehabilitation into smart objects that can be accessed by caregivers during the training sessions through human–machine interfaces expressed by the new generation of smart phones or tablet computers running Android OS or iOS operating systems. The system enables the management of patients in home rehabilitation by providing more accurate and up-to-date information using pervasive computing of vital signs and motor activity records.