TY - GEN
T1 - A Home-Based Adaptive Collaborative System for Stroke Patient Rehabilitation
AU - Craig, Paul
AU - Jin, Yanhao
AU - Sun, Jie
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - This paper describes research into the development of a collaborative home-based patient-therapist system for stroke patient rehabilitation. Our prototype system is designed so that home-based rehabilitation exercises are interactive and adapt to the progress of the patient. This way patients are encouraged to do the exercises most appropriate for their stage in the recovery process and can make the most of the time spent working on their rehabilitation. The system also keeps a record of patient progress that is communicated to the patient and medical professionals via mobile or personal-computer interfaces so they can work together towards a more effective overall plan for rehabilitation. This allows the physician to be better informed to make clinical decisions based on the progress of the patient. Results of early evaluations demonstrate the utility of our prototype system to provide users with a stimulating interactive experience as well as the systems potential to support medical experts to make more informed decisions relating to patient treatment. Results also indicate that patients feel more involved in their rehabilitation and that general communication between the medical experts and patients is improved.
AB - This paper describes research into the development of a collaborative home-based patient-therapist system for stroke patient rehabilitation. Our prototype system is designed so that home-based rehabilitation exercises are interactive and adapt to the progress of the patient. This way patients are encouraged to do the exercises most appropriate for their stage in the recovery process and can make the most of the time spent working on their rehabilitation. The system also keeps a record of patient progress that is communicated to the patient and medical professionals via mobile or personal-computer interfaces so they can work together towards a more effective overall plan for rehabilitation. This allows the physician to be better informed to make clinical decisions based on the progress of the patient. Results of early evaluations demonstrate the utility of our prototype system to provide users with a stimulating interactive experience as well as the systems potential to support medical experts to make more informed decisions relating to patient treatment. Results also indicate that patients feel more involved in their rehabilitation and that general communication between the medical experts and patients is improved.
KW - Healthcare
KW - Human-computer interaction
KW - Stroke rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=85094135320&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-60816-3_1
DO - 10.1007/978-3-030-60816-3_1
M3 - Conference Proceeding
AN - SCOPUS:85094135320
SN - 9783030608156
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 10
BT - Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings
A2 - Luo, Yuhua
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020
Y2 - 25 October 2020 through 28 October 2020
ER -