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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MDPI AG
2020-07-01
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Series: | Sensors |
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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. |
first_indexed | 2024-03-10T18:32:41Z |
format | Article |
id | doaj.art-78669618d84b4092b5334b45037a8748 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T18:32:41Z |
publishDate | 2020-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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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