ISSN: 2375-3838
International Journal of Clinical Medicine Research  
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Digital Health: The Wearable Devices and the Internet of Things
International Journal of Clinical Medicine Research
Vol.6 , No. 3, Publication Date: Jun. 5, 2019, Page: 13-16
69 Views Since June 5, 2019, 32 Downloads Since Jun. 5, 2019
 
 
Authors
 
[1]    

Giampaolo Collecchia, Center for Studies and Research in Family Medicine (CSeRMEG), Massa, Italy.

 
Abstract
 

Wearable devices have recently received considerable interest due to their potential to greatly impact health. They may stimulate a broad population to pursue life-long health enhancing physical activity, fitness and improve individual performance. A wide range of mobile devices are being developed for real-time non-invasive monitoring, for example heart rate, blood pressure, electroencephalogram. Here we review recent biomedical research utilizing wearable technology in the context of the principal areas of medicine (cardiovascular, diabetes and neurology) and some areas requiring further considerations by the field will be discussed. The doctors and the nurses must be prepared to manage the relationship with patients who more and more often will submit the mobile devices data obtained, running thus the risk of being overwhelmed by an enormous mass of information and new responsibilities in a context of greater uncertainty and confusion. Moreover, there is also the possibility that the patients excessively rely on self-monitoring and the mantra of "do-it-yourself" diagnoses, actually not very reliable and in any case not easily inferrable simply from the data analysis. In fact, there are still many uncertainties relating for example to the accuracy of the obtainable data, the treatment criteria and the actual value in terms of improvement of clinical results compared to traditional therapy.


Keywords
 

Wearable-Device, Non Invasive, Biosensors


Reference
 
[01]    

Statista 2017 Wearable device sales revenue worldwide from 2016 to 2022 (in billion U.S. dollars) (https://www.statista.com/statistics/610447/wearable-device-revenue-worldwide/)

[02]    

http://quantifiedself.com/

[03]    

Kotecha D, Breithardt G, Camm AJ, et al. Integrating new approaches to atrial fibrillation management: the 6th AFNET/EHRA Consensus Conference. Europace 2018; 20: 395–407.

[04]    

Lee H et al. Enzyme-based glucose sensor: from invasive to wearable deice. Adv. Healthcare Mater 2018; 7, 1701150.

[05]    

Talboom JS et al. Big data collision: the internet of things, wearable devices and genomic in the study of neurological traits and disease. Human Molecular genetics 2018; vol. 27, no. R1 R35-R39.

[06]    

Arora S, Venkataraman V, Donohue S, Biglan KM, Dorsey ER, Little MA. High accuracy discrimination of Parkinson’s disease participants from healthy controls using smartphones. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Florence, Italy: IEEE; 2014. p. 3641–3644.

[07]    

Rovini E, Maremmani C, Cavallo F. Automated Systems Based on Wearable Sensors for the Management of Parkinson's Disease at Home: A Systematic Review. Telemed J E Health. 2018 Jul 3. doi: 10.1089/tmj.2018.0035. [Epub ahead of print].

[08]    

Byrom B et al. Brain monitoring devices in neuroscience clinical research: the potential of remote monitoring using sensors, wearables and mobile devices. Clinical Pharmacology & Therapeutics 2018; 104; 59-71.

[09]    

Lobstein T. Can wearable technology help patients tackle obesity ? BMJ Opinion 2016.

[10]    

Rosenbaum L. Swallowing a spy – The potential uses of digital adherence monitoring. N Engl J Med 2018; 378 (2): 101–103.

[11]    

Kvedar JC et al. Why real-world results are so challenging for digital health. N Engl J Med Catalyst 2017 (July).

[12]    

Reinertsen E and Clifford GD. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiol. Meas. 2018; 39: 05TR01 (38 pp).

[13]    

Dooley EE, Golaszewski NM, Bartholomew JB. Estimating accuracy at exercise intensities: a comparative study of self-monitoring heart rate and physical activity wearable devices. JMIR Mhealth Uhealth 2017; 5: e34.

[14]    

de Montjoye YA, Hidalgo Ca, Verleysen M, Blondel VD. Unique in the Crowd: The privacy bounds of human mobility. Scientific Reports. 2013; 3: 1–5.

[15]    

https://www.privacy.it/2017/10/26/sweep-2017-informative-privacy-siti-app-inadeguate/.

[16]    

Barrett PM et al. Digital medicine. Digitising the mind. Lancet 2017; 389: 1877.

[17]    

Accoto C. Il mondo dato. Cinque brevi lezioni di filosofia digitale. Milano: Egea, 2017.





 
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