Go to:
Logótipo
Você está em: Start > Publications > View > SnapKi-An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients
Publication

SnapKi-An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients

Title
SnapKi-An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients
Type
Article in International Scientific Journal
Year
2020
Authors
Oliveira, A
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. View Authenticus page Without ORCID
Dias, D
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. View Authenticus page Without ORCID
Lopes, EM
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. View Authenticus page Without ORCID
Vilas Boas, MD
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. View Authenticus page Without ORCID
Journal
Title: SensorsImported from Authenticus Search for Journal Publications
Vol. 20
Pages: 1-3875
ISSN: 1424-3210
Publisher: MDPI
Indexing
Other information
Authenticus ID: P-00S-CWQ
Abstract (EN): The development of wearable health systems has been the focus of many researchers who aim to find solutions in healthcare. Additionally, the large potential of textiles to integrate electronics, together with the comfort and usability they provide, has contributed to the development of smart garments in this area. In the field of neurological disorders with motor impairment, clinicians look for wearable devices that may provide quantification of movement symptoms. Neurological disorders affect different motion abilities thus requiring different needs in movement quantification. With this background we designed and developed an inertial textile-embedded wearable device that is adaptable to different movement-disorders quantification requirements. This adaptative device is composed of a low-power 9-axis inertial unit, a customised textile band and a web and Android cross application used for data collection, debug and calibration. The textile band comprises a snap buttons system that allows the attachment of the inertial unit, as well as its connection with the analog sensors through conductive textile. The resulting system is easily adaptable for quantification of multiple motor symptoms in different parts of the body, such as rigidity, tremor and bradykinesia assessments, gait analysis, among others. In our project, the system was applied for a specific use-case of wrist rigidity quantification during Deep Brain Stimulation surgeries, showing its high versatility and receiving very positive feedback from patients and doctors.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 21
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same authors

Proceedings of the 3rd IPLeiria's International Health Congress Abstracts (2016)
Article in International Scientific Journal
Paulo, R; Garcia, I; Petrica, J; Rodrigues, S; Meneses, R; Afonso, C; Faria, L; Seixas, A; Cordeiro, M; Granjo, P; Gomes, JC; Souza, NR; Furtado, GE; Rocha, SV; Silva, P; Carvalho, J; Morais, MA; Santos, S; Lebre, P; Antunes, A...(mais 1673 authors)
A Textile Embedded Wearable Device for Movement Disorders Quantification (2020)
Article in International Conference Proceedings Book
Oliveira, A; Dias, D; Lopes, EM; Vilas Boas, MD; Cunha, JPS

Of the same journal

yy Optical Fiber Temperature Sensors and Their Biomedical Applications (2020)
Another Publication in an International Scientific Journal
Roriz, P; Susana Silva; Frazao, O; Novais, S
Wearable Health Devices-Vital Sign Monitoring, Systems and Technologies (2018)
Another Publication in an International Scientific Journal
Dias, D; Cunha, JPS
Visualization of Urban Mobility Data from Intelligent Transportation Systems (2019)
Another Publication in an International Scientific Journal
Sobral, T; Teresa Galvão Dias; José Luís Moura Borges
Visual Sensor Networks and Related Applications (2019)
Another Publication in an International Scientific Journal
Costa, DG; Francisco Vasques; Collotta, M
Urban Safety: An Image-Processing and Deep-Learning-Based Intelligent Traffic Management and Control System (2021)
Another Publication in an International Scientific Journal
Selim Reza; Hugo S. Oliveira; José J. M. Machado; João Manuel R. S. Tavares

See all (197)

Recommend this page Top
Copyright 1996-2024 © Faculdade de Arquitectura da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z  I Guest Book
Page created on: 2024-08-31 at 07:17:07 | Acceptable Use Policy | Data Protection Policy | Complaint Portal