Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Batoca, P., Postolache, O. & Correia, A. (2022). Physical therapy gait assessment based on smart sensing and cloud services. In 2022 International Symposium on Sensing and Instrumentation in 5G and IoT Era (ISSI). (pp. 138-143). Shanghai: IEEE.
Exportar Referência (IEEE) 
P. Batoca et al.,  "Physical therapy gait assessment based on smart sensing and cloud services", in 2022 Int. Symp. on Sensing and Instrumentation in 5G and IoT Era (ISSI), Shanghai, IEEE, 2022, pp. 138-143
Exportar BibTeX 
@inproceedings{batoca2022_1775154309926,
	author = "Batoca, P. and Postolache, O. and Correia, A.",
	title = "Physical therapy gait assessment based on smart sensing and cloud services",
	booktitle = "2022 International Symposium on Sensing and Instrumentation in 5G and IoT Era (ISSI)",
	year = "2022",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ISSI55442.2022.9963376",
	pages = "138-143",
	publisher = "IEEE",
	address = "Shanghai",
	organization = "IEEE",
	url = "https://ieeexplore.ieee.org/xpl/conhome/9962816/proceeding"
}
Exportar RIS 
TY  - CPAPER
TI  - Physical therapy gait assessment based on smart sensing and cloud services
T2  - 2022 International Symposium on Sensing and Instrumentation in 5G and IoT Era (ISSI)
AU  - Batoca, P.
AU  - Postolache, O.
AU  - Correia, A.
PY  - 2022
SP  - 138-143
DO  - 10.1109/ISSI55442.2022.9963376
CY  - Shanghai
UR  - https://ieeexplore.ieee.org/xpl/conhome/9962816/proceeding
AB  - This article describes the development of a solution to tackle the lack of data that physiotherapists have during physical rehabilitation with walking aids. The developed system is based on an ESP32 microcontroller connected to an RFID reader, load cells, and an IMU mounted in a crutch. The data from the measurement channels associated with the smart crutch are acquired and sent to a cloud data storage using WiFi and MQTT protocol. A server application is available for physiotherapists and patients to view and analyze the data from each session. Experimental results are included in the paper associated with system validation with volunteers.
ER  -