Skip to main content
Erschienen in: Health and Technology 3/2021

07.03.2021 | Short Communication

Wearable devices as a valid support for diagnostic excellence: lessons from a pandemic going forward

verfasst von: Gloria Cosoli, Lorenzo Scalise, Angelica Poli, Susanna Spinsante

Erschienen in: Health and Technology | Ausgabe 3/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Today, the use of wearable devices is continuously increasing with many different application fields. Their low-cost and wide availability make these devices proper instruments for long-term monitoring, potentially useful to detect physiological changes related to influenza or other viruses. The relevance of this aspect and the impact of such technology have become evident particularly in the last year, during COVID-19 emergency; (big) data from wearable devices (already worn by many citizens) together with artificial intelligence techniques gave birth to specific studies dedicated to quickly identify patterns discriminating between healthy and infected people. These evaluations are made on the basis of parameters measured by these devices, among which heart rate, physical activity, and sleep seem to play a dominant role. This could be extremely significant in terms of early detection and limit of contagion risk. However, there is still a lot of research to be conducted in terms of measurement accuracy, data management (privacy and security issues), and results exploitation, in order to reach an accurate and reliable solution helping the whole healthcare system particularly in epidemic events, such as the SARS-CoV-2 pandemic.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat “Humanity tested”. Nat Biomed Eng. vol. 4, no. 4. Nat Res. pp. 355–356, 01-Apr-2020. “Humanity tested”. Nat Biomed Eng. vol. 4, no. 4. Nat Res. pp. 355–356, 01-Apr-2020.
2.
Zurück zum Zitat Alonso SG, et al. “Telemedicine and e-Health research solutions in literature for combatting COVID-19: a systematic review”. Health Technol. (Berl). 2021. Alonso SG, et al. “Telemedicine and e-Health research solutions in literature for combatting COVID-19: a systematic review”. Health Technol. (Berl). 2021.
3.
Zurück zum Zitat Bokolo AJ. “Application of telemedicine and eHealth technology for clinical services in response to COVID‑19 pandemic”. Health Technol. (Berl). 2021. Bokolo AJ. “Application of telemedicine and eHealth technology for clinical services in response to COVID‑19 pandemic”. Health Technol. (Berl). 2021.
4.
Zurück zum Zitat Zastrow M. “Coronavirus contact-tracing apps: can they slow the spread of COVID-19?” Nature. May 2020. Zastrow M. “Coronavirus contact-tracing apps: can they slow the spread of COVID-19?” Nature. May 2020.
5.
Zurück zum Zitat Budd J, et al. Digital technologies in the public-health response to COVID-19. Nat Med. 2020;26(8):1183–92.CrossRef Budd J, et al. Digital technologies in the public-health response to COVID-19. Nat Med. 2020;26(8):1183–92.CrossRef
6.
Zurück zum Zitat Quer G, et al. Wearable sensor data and self-reported symptoms for COVID-19 detection. Nat Med. 2021;27(1):73–7.CrossRef Quer G, et al. Wearable sensor data and self-reported symptoms for COVID-19 detection. Nat Med. 2021;27(1):73–7.CrossRef
7.
Zurück zum Zitat Inan OT, et al. “Digitizing clinical trials.” npj Digit Med. 2020;3(1):20.CrossRef Inan OT, et al. “Digitizing clinical trials.” npj Digit Med. 2020;3(1):20.CrossRef
8.
Zurück zum Zitat Natarajan A, Su H-W, Heneghan C. “Assessment of physiological signs associated with COVID-19 measured using wearable devices.” npj Digit Med. 2020;3(1):156.CrossRef Natarajan A, Su H-W, Heneghan C. “Assessment of physiological signs associated with COVID-19 measured using wearable devices.” npj Digit Med. 2020;3(1):156.CrossRef
9.
Zurück zum Zitat Ates HC, Yetisen AK, Güder F, Dincer C. Wearable devices for the detection of COVID-19. Nat Electron. 2021;4(1):13–4.CrossRef Ates HC, Yetisen AK, Güder F, Dincer C. Wearable devices for the detection of COVID-19. Nat Electron. 2021;4(1):13–4.CrossRef
10.
Zurück zum Zitat Luengo-Oroz M, et al. “Artificial intelligence cooperation to support the global response to COVID-19,.” Nat Mach Intell. 2020;2(6):295–7.CrossRef Luengo-Oroz M, et al. “Artificial intelligence cooperation to support the global response to COVID-19,.” Nat Mach Intell. 2020;2(6):295–7.CrossRef
12.
Zurück zum Zitat Radin JM, Wineinger NE, Topol EJ, Steinhubl SR. Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study. Lancet Digit Heal. 2020;2(2):e85–93.CrossRef Radin JM, Wineinger NE, Topol EJ, Steinhubl SR. Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study. Lancet Digit Heal. 2020;2(2):e85–93.CrossRef
13.
Zurück zum Zitat Mekruksavanich S, Jitpattanakul A. “Biometric user identification based on human activity recognition using wearable sensors: an experiment using deep learning models”. Electronics. vol. 10, no. 3, 2021. Mekruksavanich S, Jitpattanakul A. “Biometric user identification based on human activity recognition using wearable sensors: an experiment using deep learning models”. Electronics. vol. 10, no. 3, 2021.
14.
Zurück zum Zitat Zhu G, et al. “Learning from large-scale wearable device data for predicting epidemics trend of COVID-19”. Discret. Dyn. Nat. Soc. vol. 2020, 2020. Zhu G, et al. “Learning from large-scale wearable device data for predicting epidemics trend of COVID-19”. Discret. Dyn. Nat. Soc. vol. 2020, 2020.
15.
Zurück zum Zitat Stojanović R, Škraba A, Lutovac B. “A headset like wearable device to track COVID-19 symptoms,” in 2020 9th Mediterranean Conference on Embedded Computing (MECO). 2020, pp. 1–4. Stojanović R, Škraba A, Lutovac B. “A headset like wearable device to track COVID-19 symptoms,” in 2020 9th Mediterranean Conference on Embedded Computing (MECO). 2020, pp. 1–4.
16.
Zurück zum Zitat Cosoli G, Spinsante S, Scalise L. “Wrist-worn and chest-strap wearable devices: systematic review on accuracy and metrological characteristics”. Measurement. p. 107789, Apr. 2020. Cosoli G, Spinsante S, Scalise L. “Wrist-worn and chest-strap wearable devices: systematic review on accuracy and metrological characteristics”. Measurement. p. 107789, Apr. 2020.
17.
Zurück zum Zitat Gandhi TK, Singh H. “Reducing the risk of diagnostic error in the COVID-19 era,.” J Hosp Med. 2020;15(6):363–6.CrossRef Gandhi TK, Singh H. “Reducing the risk of diagnostic error in the COVID-19 era,.” J Hosp Med. 2020;15(6):363–6.CrossRef
18.
Zurück zum Zitat Sun S, et al. Using smartphones and wearable devices to monitor behavioral changes during COVID-19. J Med Internet Res. 2020;22(9):e19992.CrossRef Sun S, et al. Using smartphones and wearable devices to monitor behavioral changes during COVID-19. J Med Internet Res. 2020;22(9):e19992.CrossRef
19.
Zurück zum Zitat Mihaildis A, Colonna L. “A methodological approach to privacy by design within the context of lifelogging technologies”. Rutgers Comput. Technol. Law J. vol. 46, 2020. Mihaildis A, Colonna L. “A methodological approach to privacy by design within the context of lifelogging technologies”. Rutgers Comput. Technol. Law J. vol. 46, 2020.
20.
Zurück zum Zitat Tavakoli M, Carriere J, Torabi A. Robotics, smart wearable technologies, and autonomous intelligent systems for healthcare during the COVID-19 pandemic: an analysis of the state of the art and future vision. Adv Intell Syst. 2020;2(7):2000071.CrossRef Tavakoli M, Carriere J, Torabi A. Robotics, smart wearable technologies, and autonomous intelligent systems for healthcare during the COVID-19 pandemic: an analysis of the state of the art and future vision. Adv Intell Syst. 2020;2(7):2000071.CrossRef
Metadaten
Titel
Wearable devices as a valid support for diagnostic excellence: lessons from a pandemic going forward
verfasst von
Gloria Cosoli
Lorenzo Scalise
Angelica Poli
Susanna Spinsante
Publikationsdatum
07.03.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Health and Technology / Ausgabe 3/2021
Print ISSN: 2190-7188
Elektronische ISSN: 2190-7196
DOI
https://doi.org/10.1007/s12553-021-00540-y

Weitere Artikel der Ausgabe 3/2021

Health and Technology 3/2021 Zur Ausgabe