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 language | English |
|---|---|
| Title of host publication | Proceedings - 13th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2017 |
| Editors | Albert Dipanda, Richard Chbeir, Neeta Nain, Kokou Yetongnon, Luigi Gallo |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 83-90 |
| Number of pages | 8 |
| Volume | 2018-January |
| ISBN (Electronic) | 9781538642832 |
| DOIs | |
| Publication status | Published - Apr 9 2018 |
| Event | 13th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2017 - Jaipur, India Duration: Dec 4 2017 → Dec 7 2017 |
Conference
| Conference | 13th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2017 |
|---|---|
| Country | India |
| City | Jaipur |
| Period | 12/4/17 → 12/7/17 |
Fingerprint
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
Cite this
Cardiac surgery rehabilitation system (CSRS) for a personalized support to patients. / Caggianese, Giuseppe; Calabrese, Mariaconsiglia; Gallo, Luigi; Sannino, Giovanna; Vecchione, Carmine.
Proceedings - 13th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2017. ed. / Albert Dipanda; Richard Chbeir; Neeta Nain; Kokou Yetongnon; Luigi Gallo. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 83-90.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Cardiac surgery rehabilitation system (CSRS) for a personalized support to patients
AU - Caggianese, Giuseppe
AU - Calabrese, Mariaconsiglia
AU - Gallo, Luigi
AU - Sannino, Giovanna
AU - Vecchione, Carmine
PY - 2018/4/9
Y1 - 2018/4/9
N2 - 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.
AB - 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.
KW - Cardiac Surgery Rehabilitation System
KW - Cognitive and physical abilities monitoring
KW - Patient-centered environment
KW - Personalized Rehabilitation Sessions
UR - http://www.scopus.com/inward/record.url?scp=85048877857&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048877857&partnerID=8YFLogxK
U2 - 10.1109/SITIS.2017.24
DO - 10.1109/SITIS.2017.24
M3 - Conference contribution
VL - 2018-January
SP - 83
EP - 90
BT - Proceedings - 13th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2017
A2 - Dipanda, Albert
A2 - Chbeir, Richard
A2 - Nain, Neeta
A2 - Yetongnon, Kokou
A2 - Gallo, Luigi
PB - Institute of Electrical and Electronics Engineers Inc.
ER -