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Abstract
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.
Highlights
Introduction and Related WorkThe advances in electronics and, in particular, in microelectronics, together with the emergence of new wireless communication protocols have been contributing to the successful development of wearable devices [1,2]
The work presented in this paper focused on the development of a versatile textile embedded wearable device which provides inertial and analog raw data that can be used for the quantification of neurological motor symptoms, such as rigidity, tremor, bradykinesia and gait analysis
It was important to first understand the common needs in this field and to be aware of the limitations, discussed below, of recent research and industrial projects that aim to support neurological diseases. This helped in the development of the innovative concept conducted in this work, that is, an innovative wearable system for movement quantification that fulfills important requirements such as be comfortable, user-friendly, low power, broadcast viable and validated data and be versatile to be adapted for different use-cases
Summary
The advances in electronics and, in particular, in microelectronics, together with the emergence of new wireless communication protocols have been contributing to the successful development of wearable devices [1,2]. It was important to first understand the common needs in this field and to be aware of the limitations, discussed below, of recent research and industrial projects that aim to support neurological diseases This helped in the development of the innovative concept conducted in this work, that is, an innovative wearable system for movement quantification that fulfills important requirements such as be comfortable, user-friendly, low power, broadcast viable and validated data and be versatile to be adapted for different use-cases. With the purpose of quantifying motor symptoms using wearable devices in the area of neurological diseases, developers must make several technical decisions about their systems Considering their target patients, they must concern with the specificity and number of sensors to use, the kind of technology to implement (for data transference, visualization and processing), the system running time, the body part(s) to track and the comfort and usability from the users’ point of view. The second conducts an analysis about the devices textile integration
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