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

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 garment...

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Main Authors: Ana Oliveira, Duarte Dias, Elodie Múrias Lopes, Maria do Carmo Vilas-Boas, João Paulo Silva Cunha
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/14/3875
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author Ana Oliveira
Duarte Dias
Elodie Múrias Lopes
Maria do Carmo Vilas-Boas
João Paulo Silva Cunha
author_facet Ana Oliveira
Duarte Dias
Elodie Múrias Lopes
Maria do Carmo Vilas-Boas
João Paulo Silva Cunha
author_sort Ana Oliveira
collection DOAJ
description 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.
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spelling doaj.art-78669618d84b4092b5334b45037a87482023-11-20T06:29:12ZengMDPI AGSensors1424-82202020-07-012014387510.3390/s20143875SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological PatientsAna Oliveira0Duarte Dias1Elodie Múrias Lopes2Maria do Carmo Vilas-Boas3João Paulo Silva Cunha4Biomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, PortugalBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, PortugalBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, PortugalBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, PortugalBiomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, 4200-465 Porto, PortugalThe 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.https://www.mdpi.com/1424-8220/20/14/3875neurological disordersmovement quantificationinertial sensorssmart textiles
spellingShingle Ana Oliveira
Duarte Dias
Elodie Múrias Lopes
Maria do Carmo Vilas-Boas
João Paulo Silva Cunha
SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients
Sensors
neurological disorders
movement quantification
inertial sensors
smart textiles
title SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients
title_full SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients
title_fullStr SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients
title_full_unstemmed SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients
title_short SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients
title_sort snapki an inertial easy to adapt wearable textile device for movement quantification of neurological patients
topic neurological disorders
movement quantification
inertial sensors
smart textiles
url https://www.mdpi.com/1424-8220/20/14/3875
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