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http://hdl.handle.net/1942/42118
Title: | STASISM: A Versatile Serious Gaming Multi-Sensor Platform for Personalized Telerehabilitation and Telemonitoring | Authors: | KUSHNIR, Anna Kachmar, Oleh BONNECHERE, Bruno |
Issue Date: | 2024 | Publisher: | MDPI | Source: | SENSORS, 24 (2) (Art N° 351) | Abstract: | Telemonitoring and telerehabilitation have shown promise in delivering individualized healthcare remotely. We introduce STASISM, a sensor-based telerehabilitation and telemonitoring system, in this work. This platform has been created to facilitate individualized telerehabilitation and telemonitoring for those who need rehabilitation or ongoing monitoring. To gather and analyze pertinent and validated physiological, kinematic, and environmental data, the system combines a variety of sensors and data analytic methodologies. The platform facilitates customized rehabilitation activities based on individual needs, allows for the remote monitoring of a patient’s progress, and offers real-time feedback. To protect the security of patient data and to safeguard patient privacy, STASISM also provides secure data transmission and storage. The platform has the potential to significantly improve the accessibility and efficacy of telerehabilitation and telemonitoring programs, enhancing patients’ quality of life and allowing healthcare professionals to provide individualized care outside of traditional clinical settings. | Notes: | Kushnir, A (corresponding author), Elita Rehabil Ctr, UA-79000 Lvov, Ukraine.; Kushnir, A (corresponding author), Hasselt Univ, Fac Rehabil Sci, REVAL Rehabil Res Ctr, B-3590 Diepenbeek, Belgium. anna@ic.reha.lviv.ua; okachmar@ic.reha.lviv.ua; bruno.bonnechere@uhasselt.be |
Keywords: | multiple sensors;telerehabilitation;assessment;personalized treatment;rehabilomics | Document URI: | http://hdl.handle.net/1942/42118 | e-ISSN: | 1424-8220 | DOI: | 10.3390/s24020351 | ISI #: | 001151352400001 | Rights: | 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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sensors-24-00351-v3.pdf | Published version | 10.15 MB | Adobe PDF | View/Open |
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