Sergio Lluva Plaza, J. M. V. Carrizo, Juan Jesús García Domínguez, Ana Jiménez Martín, David Gualda Gómez
{"title":"FrailWear: A Wearable IoT Device for Daily Activity Monitoring of Elderly Patients","authors":"Sergio Lluva Plaza, J. M. V. Carrizo, Juan Jesús García Domínguez, Ana Jiménez Martín, David Gualda Gómez","doi":"10.1109/DCIS51330.2020.9268629","DOIUrl":null,"url":null,"abstract":"This paper introduces an IoT wearable, specifically designed for the analysis of the physical activity of elderly people, in order to provide objective information to the healthcare staff to assess the frailty in these patients. The device, called FrailWear, is based on a STM32 low cost, low power and high-performance microcontroller. It is a multisensory system that includes an IMU and atmospheric pressure sensor for collecting data. In addition, it is possible to obtain the centimetric-accuracy position of the patient, if the infrastructure includes an external ultrasonic local positioning system. The wearable also includes a LoRaWAN based architecture, to communicate the system and the cloud, where the acquired data will be stored for a later analysis. Both physical activity and localization information are obtained, able to be analysed in real time or to be requested on demand by the carers. First test results of FrailWear are very promising and show its feasibility for this application.","PeriodicalId":186963,"journal":{"name":"2020 XXXV Conference on Design of Circuits and Integrated Systems (DCIS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 XXXV Conference on Design of Circuits and Integrated Systems (DCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCIS51330.2020.9268629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper introduces an IoT wearable, specifically designed for the analysis of the physical activity of elderly people, in order to provide objective information to the healthcare staff to assess the frailty in these patients. The device, called FrailWear, is based on a STM32 low cost, low power and high-performance microcontroller. It is a multisensory system that includes an IMU and atmospheric pressure sensor for collecting data. In addition, it is possible to obtain the centimetric-accuracy position of the patient, if the infrastructure includes an external ultrasonic local positioning system. The wearable also includes a LoRaWAN based architecture, to communicate the system and the cloud, where the acquired data will be stored for a later analysis. Both physical activity and localization information are obtained, able to be analysed in real time or to be requested on demand by the carers. First test results of FrailWear are very promising and show its feasibility for this application.
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