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020 _a9783030015572
024 7 _a10.1007/978-3-030-01557-2
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aR858
_b2019 EB
100 1 _aKhalili Moghaddam, Gita
_eautor
_9671117
245 1 0 _aHealth and wellness measurement approaches for mobile healthcare
_cby Gita Khalili Moghaddam, Christopher R. Lowe
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (X, 104 páginas)
_b19 ilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aSpringerBriefs in Computational Intelligence
_x2625-3704
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aChapter 1. Mobile Healthcare -- Chapter 2. Physical Activity -- Chapter 3. Ex-vivo Biosignitures.
520 3 _aThis book reviews existing sensor technologies that are now being coupled with computational intelligence for the remote monitoring of physical activity and ex vivo biosignatures. In today's frenetic world, consumers are becoming ever more demanding: they want to control every aspect of their lives and look for options specifically tailored to their individual needs. In many cases, suppliers are catering to these new demands; as a result, clothing, food, social media, fitness and banking services are all being democratised to the individual. Healthcare provision has finally caught up to this trend and is currently being rebooted to offer personalised solutions, while simultaneously creating a more effective, scalable and cost-effective system for all. The desire for personalisation, home monitoring and treatment, and provision of care in remote locations or in emerging and impoverished nations that lack a fixed infrastructure, is leading to the realisation that mobile technology might be the best candidate for achieving these goals. A combination of several technological, healthcare and financial factors are driving this trend to create a new healthcare model that stresses preventative 'health-care' rather than 'sick-care', and a shift from volume to value. Mobile healthcare (mhealth), which could also be termed the "internet of people", refers to the integration of sensors and smartphones to gather and interpret clinical data from patients in real-time. Most importantly, with an ageing population suffering multiple morbidities, mhealth could provide healthcare solutions to enhance chronically ill patients' quality of life.
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_aTecnología médica
_9150466
650 7 _2embne
_aInformática médica
_9421154
650 7 _2embne
_9421371
_aInteligencia artificial en medicina
700 1 _aLowe, Christopher R.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9783030015565
776 0 8 _iPrinted edition:
_z9783030015589
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-01557-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _aSI
_cm
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_b10/2019
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