Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19
In late 2019, a new genre of coronavirus (COVID-19) was first identified in humans in Wuhan, China. In addition to this, COVID-19 spreads through droplets, so quarantine is necessary to halt the spread and to recover physically. This modern urgency creates a critical challenge for the latest technol...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Signals |
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| Online Access: | https://www.mdpi.com/2624-6120/3/1/2 |
| _version_ | 1797442154784620544 |
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| author | Angelos-Christos Daskalos Panayiotis Theodoropoulos Christos Spandonidis Nick Vordos |
| author_facet | Angelos-Christos Daskalos Panayiotis Theodoropoulos Christos Spandonidis Nick Vordos |
| author_sort | Angelos-Christos Daskalos |
| collection | DOAJ |
| description | In late 2019, a new genre of coronavirus (COVID-19) was first identified in humans in Wuhan, China. In addition to this, COVID-19 spreads through droplets, so quarantine is necessary to halt the spread and to recover physically. This modern urgency creates a critical challenge for the latest technologies to detect and monitor potential patients of this new disease. In this vein, the Internet of Things (IoT) contributes to solving such problems. This paper proposed a wearable device that utilizes real-time monitoring to detect body temperature and ambient conditions. Moreover, the system automatically alerts the concerned person using this device. The alert is transmitted when the body exceeds the allowed temperature threshold. To achieve this, we developed an algorithm that detects physical exercise named “Continuous Displacement Algorithm” based on an accelerometer to see whether a potential temperature rise can be attributed to physical activity. The people responsible for the person in quarantine can then connect via nRF Connect or a similar central application to acquire an accurate picture of the person’s condition. This experiment included an Arduino Nano BLE 33 Sense which contains several other sensors like a 9-axis IMU, several types of temperature, and ambient and other sensors equipped. This device successfully managed to measure wrist temperature at all states, ranging from 32 °C initially to 39 °C, providing better battery autonomy than other similar devices, lasting over 12 h, with fast charging capabilities (500 mA), and utilizing the BLE 5.0 protocol for data wireless data transmission and low power consumption. Furthermore, a 1D Convolutional Neural Network (CNN) was employed to classify whether the user is feverish while considering the physical activity status. The results obtained from the 1D CNN illustrated the manner in which it can be leveraged to acquire insight regarding the health of the users in the setting of the COVID-19 pandemic. |
| first_indexed | 2024-03-09T12:37:43Z |
| format | Article |
| id | doaj.art-39f04c2fa4cb48188e0799b5f5ae4b19 |
| institution | Directory Open Access Journal |
| issn | 2624-6120 |
| language | English |
| last_indexed | 2024-03-09T12:37:43Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Signals |
| spelling | doaj.art-39f04c2fa4cb48188e0799b5f5ae4b192023-11-30T22:21:54ZengMDPI AGSignals2624-61202022-01-0131112810.3390/signals3010002Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19Angelos-Christos Daskalos0Panayiotis Theodoropoulos1Christos Spandonidis2Nick Vordos3Biophysics Laboratory, Physics Department, International Hellenic University, 65404 Kavala, GreecePrisma Electronics SA, 45 Agias Kyriakis, Palaio Faliro, Attiki, 17675 Athens, GreecePrisma Electronics SA, 45 Agias Kyriakis, Palaio Faliro, Attiki, 17675 Athens, GreeceBiophysics Laboratory, Physics Department, International Hellenic University, 65404 Kavala, GreeceIn late 2019, a new genre of coronavirus (COVID-19) was first identified in humans in Wuhan, China. In addition to this, COVID-19 spreads through droplets, so quarantine is necessary to halt the spread and to recover physically. This modern urgency creates a critical challenge for the latest technologies to detect and monitor potential patients of this new disease. In this vein, the Internet of Things (IoT) contributes to solving such problems. This paper proposed a wearable device that utilizes real-time monitoring to detect body temperature and ambient conditions. Moreover, the system automatically alerts the concerned person using this device. The alert is transmitted when the body exceeds the allowed temperature threshold. To achieve this, we developed an algorithm that detects physical exercise named “Continuous Displacement Algorithm” based on an accelerometer to see whether a potential temperature rise can be attributed to physical activity. The people responsible for the person in quarantine can then connect via nRF Connect or a similar central application to acquire an accurate picture of the person’s condition. This experiment included an Arduino Nano BLE 33 Sense which contains several other sensors like a 9-axis IMU, several types of temperature, and ambient and other sensors equipped. This device successfully managed to measure wrist temperature at all states, ranging from 32 °C initially to 39 °C, providing better battery autonomy than other similar devices, lasting over 12 h, with fast charging capabilities (500 mA), and utilizing the BLE 5.0 protocol for data wireless data transmission and low power consumption. Furthermore, a 1D Convolutional Neural Network (CNN) was employed to classify whether the user is feverish while considering the physical activity status. The results obtained from the 1D CNN illustrated the manner in which it can be leveraged to acquire insight regarding the health of the users in the setting of the COVID-19 pandemic.https://www.mdpi.com/2624-6120/3/1/2COVID-19body temperaturewearable devices9-axis IMUtemperature sensorsindoor condition |
| spellingShingle | Angelos-Christos Daskalos Panayiotis Theodoropoulos Christos Spandonidis Nick Vordos Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19 Signals COVID-19 body temperature wearable devices 9-axis IMU temperature sensors indoor condition |
| title | Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19 |
| title_full | Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19 |
| title_fullStr | Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19 |
| title_full_unstemmed | Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19 |
| title_short | Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19 |
| title_sort | wearable device for observation of physical activity with the purpose of patient monitoring due to covid 19 |
| topic | COVID-19 body temperature wearable devices 9-axis IMU temperature sensors indoor condition |
| url | https://www.mdpi.com/2624-6120/3/1/2 |
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