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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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 |
work_keys_str_mv |
AT amlesetkelati biosignalmonitoringplatformusingwearableiot AT imedbendhaou biosignalmonitoringplatformusingwearableiot AT hannutenhunen biosignalmonitoringplatformusingwearableiot |
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