Smart health monitoring systems: an overview of design and modeling.
Citations
373 citations
Cites background from "Smart health monitoring systems: an..."
...Based on the literature, most monitoring applications which consider home settings or remote monitoring deal predominantly with prediction and anomaly detection whereas the applications in clinical settings are typically focused on diagnosis [10,21]....
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...diseases, posture and motion control, rehabilitation, Parkinson’s disease, stress, neurological disorders, Alzheimer’s disease and dementia [10]....
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...Most notably, are works such as [10,17] which focus on the needs to have wearable sensors and overcoming important bottlenecks for the use of wearable sensors such as the clinical acceptability and interoperability in health records....
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...However, in real time analysis of sensor data while considering mobile health monitoring systems, the time of data analysis and resources for data processing is important as it is presented in [10]....
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...Studies on health monitoring systems include wearable, mobile and remote systems [10]....
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371 citations
327 citations
Cites methods from "Smart health monitoring systems: an..."
...Adding the estimation of SBP and DBP is logical and expected.(38) A list of wearable BP estimation devices, as well as descriptions of the devices and their functions, is presented in Table 1....
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282 citations
Cites background from "Smart health monitoring systems: an..."
...Baig and Gholamhosseini (2013) compare several smart health monitoring systems and discuss challenges and issues in the current systems....
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233 citations
References
2,418 citations
"Smart health monitoring systems: an..." refers methods in this paper
...[59] and a Berg balance scale (BBS) [60], employs the SHIMMER sensors and Matlab for processing raw accelerometer and gyroscope data....
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...System results indicated that the manual TUG test had an accuracy of 60.6 %, BBS an accuracy of 61.4 % and the mean test, an accuracy of 76.8 % when estimating falls risk in 349 older adults....
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...A quantitative fall risk assessment [58] uses a timed up and go (TUG) test was developed by Mathias et al. [59] and a Berg balance scale (BBS) [60], employs the SHIMMER sensors and Matlab for processing raw accelerometer and gyroscope data....
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2,051 citations
"Smart health monitoring systems: an..." refers background in this paper
...Like any other technological advancement, smart health monitoring systems have both benefits and limitations and currently, there is on-going research to improve these systems [84, 92]....
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1,504 citations
1,463 citations
"Smart health monitoring systems: an..." refers background in this paper
...[57] conducted a study to estimate the cost of fatal and non-fatal falls amongst older adults, and reported direct medical costs totalling $0....
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933 citations
"Smart health monitoring systems: an..." refers background in this paper
...Incidence rates in hospitals are higher and, in residential care settings, approximately 30–50 % of people fall each year, with 40 % falling recurrently [56]....
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