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Monge, J., Raimundo, A., Ribeiro, G., Postolache, O. & Santos, J. (2023). AI-based smart sensing and AR for gait rehabilitation assessment. Information. 14 (7)

J. P. Monge et al.,  "AI-based smart sensing and AR for gait rehabilitation assessment", in Information, vol. 14, no. 7, 2023

@article{monge2023_1716203131948,
	author = "Monge, J. and Raimundo, A. and Ribeiro, G. and Postolache, O. and Santos, J.",
	title = "AI-based smart sensing and AR for gait rehabilitation assessment",
	journal = "Information",
	year = "2023",
	volume = "14",
	number = "7",
	doi = "10.3390/info14070355",
	url = "https://doi.org/10.3390/info14070355"
}

TY  - JOUR
TI  - AI-based smart sensing and AR for gait rehabilitation assessment
T2  - Information
VL  - 14
IS  - 7
AU  - Monge, J.
AU  - Raimundo, A.
AU  - Ribeiro, G.
AU  - Postolache, O.
AU  - Santos, J.
PY  - 2023
SN  - 2078-2489
DO  - 10.3390/info14070355
UR  - https://doi.org/10.3390/info14070355
AB  - Health monitoring is crucial in hospitals and rehabilitation centers. Challenges can affect the reliability and accuracy of health data. Human error, patient compliance concerns, time, money, technology, and environmental factors might cause these issues. In order to improve patient care, healthcare providers must address these challenges. We propose a non-intrusive smart sensing system that uses a SensFloor smart carpet and an inertial measurement unit (IMU) wearable sensor on the user’s back to monitor position and gait characteristics. Furthermore, we implemented machine learning (ML) algorithms to analyze the data collected from the SensFloor and IMU sensors. The system generates real-time data that are stored in the cloud and are accessible to physical therapists and patients. Additionally, the system’s real-time dashboards provide a comprehensive analysis of the user’s gait and balance, enabling personalized training plans with tailored exercises and better rehabilitation outcomes. Using non-invasive smart sensing technology, our proposed solution enables healthcare facilities to monitor patients’ health and enhance their physical rehabilitation plans.
ER  -