Cardiac surgery rehabilitation system (CSRS) for a personalized support to patients

Giuseppe Caggianese, Mariaconsiglia Calabrese, Luigi Gallo, Giovanna Sannino, Carmine Vecchione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For a successful rehabilitation after cardiac surgery, it is crucial to have a carefully personalized, structured, and supervised physiotherapy program. Due to erroneous or unsupervised physiotherapy, nearly 50% of surgeries fail. Researchers have tried to leverage advances in wearable sensors and motion tracking to build affordable, automated, and customizable rehabilitation systems that help both therapists and patients during physiotherapy sessions. In this paper, we present a patient-centered cardiac surgery rehabilitation system (CSRS) for the personalization of the patient's physiotherapy for the early post-operative period. The system has been designed to interconnect different acquisition sensors and to be distributed on different stations in order to be able to continuously monitor the patient's vital signs and evaluate her/his cognitive and motor abilities in real time.

Original languageEnglish
Title of host publicationProceedings - 13th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2017
EditorsAlbert Dipanda, Richard Chbeir, Neeta Nain, Kokou Yetongnon, Luigi Gallo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-90
Number of pages8
Volume2018-January
ISBN (Electronic)9781538642832
DOIs
Publication statusPublished - Apr 9 2018
Event13th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2017 - Jaipur, India
Duration: Dec 4 2017Dec 7 2017

Conference

Conference13th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2017
CountryIndia
CityJaipur
Period12/4/1712/7/17

Keywords

  • Cardiac Surgery Rehabilitation System
  • Cognitive and physical abilities monitoring
  • Patient-centered environment
  • Personalized Rehabilitation Sessions

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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