Biosignal Monitoring Platform Using Wearable IoT

Thanks to the IoT technology advancement and wearable devices, the healthcare industry is shifting ahead to a brighter future. In this paper, we present a Wi-Fi and battery powered wearable IoT system to monitor patient's Biosignal from anywhere at any time through an IP based network. The syst...

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Main Authors: Amleset Kelati, Imed Ben Dhaou, Hannu Tenhunen
Format: Article
Language:English
Published: FRUCT 2018-05-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
EMG
Online Access:https://fruct.org/publications/abstract22/files/Kel.pdf
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spelling doaj-8eaaee48344f4d53bc80b5fdccc090362020-11-24T23:31:31ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372018-05-0142622332337Biosignal Monitoring Platform Using Wearable IoTAmleset Kelati0Imed Ben Dhaou1Hannu Tenhunen2KTH, Royal Institute of technology, Stockholm, SwedenQassim University, Saudi ArabiaKTH, Royal Institute of technology, Stockholm, SwedenThanks to the IoT technology advancement and wearable devices, the healthcare industry is shifting ahead to a brighter future. In this paper, we present a Wi-Fi and battery powered wearable IoT system to monitor patient's Biosignal from anywhere at any time through an IP based network. The system is unique as it is composed of a 2 or/and 8 channel electrodes to measure ECG and EMG signals with a sampling frequency fixed at 1 KHz, an analog front-end (AFE) compliant with the IEEE 802.11 standard, a microcontroller for data processing and transmission, and a power management unit. The prototype operates at 2.4 GHz, 3.3v. The transceiver consumes very low power in arrange of 9mW, has a communication range between 20m and 100m, a data-rate of 128 kB/s, a latency of 1.2ms, equipped with Advanced Encryption Standard (AES) for realtime data encryption and has a high common-mode rejection ratio (CMRR). Experimental test result demonstrates that our developed prototype has a better performance than state of the art systems.https://fruct.org/publications/abstract22/files/Kel.pdfSensor NetworksInternet of ThingHealth MonitoringEMGBiosignal ProcessingWi-Fi
collection DOAJ
language English
format Article
sources DOAJ
author Amleset Kelati
Imed Ben Dhaou
Hannu Tenhunen
spellingShingle Amleset Kelati
Imed Ben Dhaou
Hannu Tenhunen
Biosignal Monitoring Platform Using Wearable IoT
Proceedings of the XXth Conference of Open Innovations Association FRUCT
Sensor Networks
Internet of Thing
Health Monitoring
EMG
Biosignal Processing
Wi-Fi
author_facet Amleset Kelati
Imed Ben Dhaou
Hannu Tenhunen
author_sort Amleset Kelati
title Biosignal Monitoring Platform Using Wearable IoT
title_short Biosignal Monitoring Platform Using Wearable IoT
title_full Biosignal Monitoring Platform Using Wearable IoT
title_fullStr Biosignal Monitoring Platform Using Wearable IoT
title_full_unstemmed Biosignal Monitoring Platform Using Wearable IoT
title_sort biosignal monitoring platform using wearable iot
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2018-05-01
description Thanks to the IoT technology advancement and wearable devices, the healthcare industry is shifting ahead to a brighter future. In this paper, we present a Wi-Fi and battery powered wearable IoT system to monitor patient's Biosignal from anywhere at any time through an IP based network. The system is unique as it is composed of a 2 or/and 8 channel electrodes to measure ECG and EMG signals with a sampling frequency fixed at 1 KHz, an analog front-end (AFE) compliant with the IEEE 802.11 standard, a microcontroller for data processing and transmission, and a power management unit. The prototype operates at 2.4 GHz, 3.3v. The transceiver consumes very low power in arrange of 9mW, has a communication range between 20m and 100m, a data-rate of 128 kB/s, a latency of 1.2ms, equipped with Advanced Encryption Standard (AES) for realtime data encryption and has a high common-mode rejection ratio (CMRR). Experimental test result demonstrates that our developed prototype has a better performance than state of the art systems.
topic Sensor Networks
Internet of Thing
Health Monitoring
EMG
Biosignal Processing
Wi-Fi
url https://fruct.org/publications/abstract22/files/Kel.pdf
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AT imedbendhaou biosignalmonitoringplatformusingwearableiot
AT hannutenhunen biosignalmonitoringplatformusingwearableiot
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