Federico Lorussi

Summary

Affiliation: University of Pisa
Country: Italy

Publications

  1. ncbi request reprint Strain sensing fabric for hand posture and gesture monitoring
    Federico Lorussi
    Interdepartmental Research Center E Piaggio, University of Pisa, 56126 Pisa, Italy
    IEEE Trans Inf Technol Biomed 9:372-81. 2005
  2. doi request reprint Wearable kinesthetic systems and emerging technologies in actuation for upperlimb neurorehabilitation
    Danilo De Rossi
    Interdepartmental Research Centre E Piaggio and Department of Information Engineering, University of Pisa, Italy
    Conf Proc IEEE Eng Med Biol Soc 2009:6830-3. 2009
  3. ncbi request reprint Electroactive fabrics for distributed, comfortable and interactive systems
    Federico Lorussi
    Interdepartemental Research Centre E Piaggio, University of Pisa, Via Diotisalvi 2, Pisa, Italy
    Stud Health Technol Inform 117:17-24. 2005
  4. ncbi request reprint Wearable kinesthetic systems for capturing and classifying body posture and gesture
    Alessandro Tognetti
    Faculty of Engineering, Interdepartmental Research Center E Piaggio, University of Pisa, Via Diotisalvi 2, Pisa, Italy, Email
    Conf Proc IEEE Eng Med Biol Soc 1:1012-5. 2005
  5. pmc New generation of wearable goniometers for motion capture systems
    Alessandro Tognetti
    Research Center E, Piaggio, University of Pisa, Via Diotisalvi 2, Pisa, Italy
    J Neuroeng Rehabil 11:56. 2014
  6. ncbi request reprint Posture classification via wearable strain sensors for neurological rehabilitation
    Toni Giorgino
    Consorzio di Bioingegneria e Informatica Medica, Italy
    Conf Proc IEEE Eng Med Biol Soc 1:6273-6. 2006

Detail Information

Publications6

  1. ncbi request reprint Strain sensing fabric for hand posture and gesture monitoring
    Federico Lorussi
    Interdepartmental Research Center E Piaggio, University of Pisa, 56126 Pisa, Italy
    IEEE Trans Inf Technol Biomed 9:372-81. 2005
    ..Here we propose a hardware and computational solution to overcome this limitation...
  2. doi request reprint Wearable kinesthetic systems and emerging technologies in actuation for upperlimb neurorehabilitation
    Danilo De Rossi
    Interdepartmental Research Centre E Piaggio and Department of Information Engineering, University of Pisa, Italy
    Conf Proc IEEE Eng Med Biol Soc 2009:6830-3. 2009
    ..Finally, current work in preliminary evaluation of prototypes in the field of post-stroke rehabilitation is also briefly presented...
  3. ncbi request reprint Electroactive fabrics for distributed, comfortable and interactive systems
    Federico Lorussi
    Interdepartemental Research Centre E Piaggio, University of Pisa, Via Diotisalvi 2, Pisa, Italy
    Stud Health Technol Inform 117:17-24. 2005
    ..Several new algorithms devoted to the device operation are presented and tested. Data derived from the sensing garment are analyzed and compared with the data derived from a traditional movement tracking system...
  4. ncbi request reprint Wearable kinesthetic systems for capturing and classifying body posture and gesture
    Alessandro Tognetti
    Faculty of Engineering, Interdepartmental Research Center E Piaggio, University of Pisa, Via Diotisalvi 2, Pisa, Italy, Email
    Conf Proc IEEE Eng Med Biol Soc 1:1012-5. 2005
    ..CE sensors show piezoresistive properties when a deformation is applied and they can be integrated onto fabric or other flexible substrate to be employed as strain sensors...
  5. pmc New generation of wearable goniometers for motion capture systems
    Alessandro Tognetti
    Research Center E, Piaggio, University of Pisa, Via Diotisalvi 2, Pisa, Italy
    J Neuroeng Rehabil 11:56. 2014
    ..A new generation of wearable goniometers based on knitted piezoresistive fabric (KPF) technology is presented...
  6. ncbi request reprint Posture classification via wearable strain sensors for neurological rehabilitation
    Toni Giorgino
    Consorzio di Bioingegneria e Informatica Medica, Italy
    Conf Proc IEEE Eng Med Biol Soc 1:6273-6. 2006
    ..Supervised learning techniques were employed to analyse the strain measures in order to reconstruct upper-limb posture and provide real-time feedback on exercise progress...