Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
[HTML][HTML] Integration of personalized drug delivery systems into digital health
Personalized drug delivery systems (PDDS), implying the patient-tailored dose, dosage
form, frequency of administration and drug release kinetics, and digital health platforms for …
form, frequency of administration and drug release kinetics, and digital health platforms for …
Machine learning and AI technologies for smart wearables
The recent progress in computational, communications, and artificial intelligence (AI)
technologies, and the widespread availability of smartphones together with the growing …
technologies, and the widespread availability of smartphones together with the growing …
A review of medication adherence monitoring technologies
Medication non-adherence is a prevalent, complex problem. Failure to follow medication
schedules may lead to major health complications, including death. Proper medication …
schedules may lead to major health complications, including death. Proper medication …
Healthcare applications of smart watches
The aim of this systematic review is to synthesize research studies involving the use of smart
watch devices for healthcare. The Preferred Reporting Items for Systematic Reviews and …
watch devices for healthcare. The Preferred Reporting Items for Systematic Reviews and …
A deep learning-based intelligent medicine recognition system for chronic patients
WJ Chang, LB Chen, CH Hsu, CP Lin, TC Yang - IEEE Access, 2019 - ieeexplore.ieee.org
This paper proposes an intelligent medicine recognition system based on deep learning
techniques, named ST-Med-Box. The proposed system can assist chronic patients in taking …
techniques, named ST-Med-Box. The proposed system can assist chronic patients in taking …
Medication nonadherence: health impact, prevalence, correlates and interventions
Nonadherence to medicines is a global problem compromising health and economic
outcomes for individuals and society. This article outlines how adherence is defined and …
outcomes for individuals and society. This article outlines how adherence is defined and …
A wearable sensor system for medication adherence prediction
Objective Studies have revealed that non-adherence to prescribed medication can lead to
hospital readmissions, clinical complications, and other negative patient outcomes. Though …
hospital readmissions, clinical complications, and other negative patient outcomes. Though …
A survey of diet monitoring technology
H Kalantarian, N Alshurafa… - IEEE Pervasive …, 2017 - ieeexplore.ieee.org
This article surveys techniques for evaluating eating habits for wellness applications,
emphasizing sensor-based approaches such as audio signal processing, inertial sensing …
emphasizing sensor-based approaches such as audio signal processing, inertial sensing …
Visualizing information on watch faces: A survey with smartwatch users
People increasingly wear smartwatches that can track a wide variety of data. However, it is
currently unknown which data people consume and how it is visualized. To better ground …
currently unknown which data people consume and how it is visualized. To better ground …