2020
DOI: 10.1186/s12938-020-00825-9
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Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design

Abstract: Healthcare studies are moving toward individualised measurement. There is need to move beyond supervised assessments in the laboratory/clinic. Longitudinal free-living assessment can provide a wealth of information on patient pathology and habitual behaviour, but cost and complexity of equipment have typically been a barrier. Lack of supervised conditions within free-living assessment means there is need to augment these studies with environmental analysis to provide context to individual measurements. This pa… Show more

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Cited by 31 publications
(37 citation statements)
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“…Thus, the long-term effects of these wearables must be tested. In addition, currently, we have many IoT technologies that are not in regulation to medical requirements [125][126][127][128].…”
Section: Discussionmentioning
confidence: 99%
“…Thus, the long-term effects of these wearables must be tested. In addition, currently, we have many IoT technologies that are not in regulation to medical requirements [125][126][127][128].…”
Section: Discussionmentioning
confidence: 99%
“…Data from sensors and wearable devices can revolutionize the way health care is viewed and delivered, especially in an era of patient-centered care, precision medicine, and individualized health care delivery. IoT can transform the approach to health care and take patient-centered care to a new level, where people can take charge of their health, providing patients and physicians with invaluable continuous real-time data about the physiological state and well-being of patients, ranging from data such as the heart rate, temperature, or sleeping habits to biochemical marker measurements in biofluids through various biosensor technologies, as well as sending alerts when certain thresholds are crossed or abnormal patterns are detected [ 22 - 27 ].…”
Section: Discussionmentioning
confidence: 99%
“…The prosthesis controller was implemented on an Arduino MKR WIFI 1010 (Arduino LLC, USA) because of its low-cost and accessibility [24]. This system enables two-channel myoelectric recording with a 500 Hz sampling rate, signal pre-processing with bandpass filters and notch filter, abstract decoding for real-time prosthesis control.…”
Section: Methodsmentioning
confidence: 99%