Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Wellness forecasting"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-14 (2019)
Abstract Background The accelerated growth of elderly population is creating a heavy burden to the healthcare system in many developed countries and regions. Electrocardiogram (ECG) analysis has been recognized as effective approach to cardiovascular
Externí odkaz:
https://doaj.org/article/018bfb7452c54f0989cd67b6ccee337a
Publikováno v:
IEEE Access, Vol 6, Pp 35558-35567 (2018)
Rapid advances in information and sensor technology have led to the development of tools and methods for personalized health monitoring. These techniques support timely and efficient healthcare services by tracking the vital signs, detecting physiolo
Externí odkaz:
https://doaj.org/article/581c60f0b17c471789ba93a875a2e98d
Autor:
Sparks Ross Stewart, Okugami Chris
Publikováno v:
Journal of Intelligent Systems, Vol 25, Iss 4, Pp 515-528 (2016)
The vital signs of chronically ill patients are monitored daily. The record flags when a specific vital sign is stable or when it trends into dangerous territory. Patients also self-assess their current state of well-being, i.e. whether they are feel
Externí odkaz:
https://doaj.org/article/23a93f0348b34156998262976f876414
Publikováno v:
IEEE Access, Vol 6, Pp 35558-35567 (2018)
Rapid advances in information and sensor technology have led to the development of tools and methods for personalized health monitoring. These techniques support timely and efficient healthcare services by tracking the vital signs, detecting physiolo
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-14 (2019)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background The accelerated growth of elderly population is creating a heavy burden to the healthcare system in many developed countries and regions. Electrocardiogram (ECG) analysis has been recognized as effective approach to cardiovascular disease
Autor:
Ross Sparks, Chris Okugami
Publikováno v:
Journal of Intelligent Systems, Vol 25, Iss 4, Pp 515-528 (2016)
The vital signs of chronically ill patients are monitored daily. The record flags when a specific vital sign is stable or when it trends into dangerous territory. Patients also self-assess their current state of well-being, i.e. whether they are feel
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