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Mobile health mHealth monitoring in cloud, which imposes the cloud computing technologies and prevailing mobile communications to give feedback decision support, has been taken as a radical approach to increasing the quality of medical service while decreasing the medical price. This thesis is to notice this main crisis and design a cloud supported secured storage mobile monitoring system of health to store the security of the involved people and their information. At last, our privacy and operation analysis indicates the efficiency of our proposed design.

Wireless technology in disease management and medicine.

References [1] P. Mohan, D. Marin, S. Sultan, and A. Tsanas, M. Little, P. McSharry, and L. Clifford and D. Dhukaram, C. Baber, L. Elloumi, B. Narayanan and V. Baldi, R. Baronio, E.


Cristofaro, P. Gasti, and G. Cavoukian, A. Fisher, S. Killen, and D. SP Insulin degludec overdose in an adolescent with Type 1 diabetes: proactive management including monitoring using the Freestyle Libre flash glucose monitoring system. Diabetes Metab. Case Rep. A clinical trial of the accuracy and treatment experience of the Dexcom G4 sensor Dexcom G4 system and Enlite sensor guardian REAL-time system tested simultaneously in ambulatory patients with Type 1 diabetes.

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Diabetes Technol. Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays. Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics. The promise and perils of wearable physiological sensors for diabetes management.

Diabetes Sci. USA Fully-automated ventricular ectopic beat classification for use with mobile cardiac telemetry. Long-term remote monitoring of vital signs using a wireless patch sensor. Clinical validation of heart rate apps: mixed-methods evaluation study. Screening for atrial fibrillation during influenza vaccinations by primary care nurses using a smartphone electrocardiograph iECG : a feasibility study. Circulation 19 , — Passive detection of atrial fibrillation using a commercially available smartwatch.

JAMA Cardiol. Pulse rate measurement during sleep using wearable sensors, and its correlation with the menstrual cycle phases, a prospective observational study.

Combining electrohysterography and heart rate data to detect labour. Real-time continuous glucose monitoring in adults with Type 1 diabetes and impaired hypoglycaemia awareness or severe hypoglycaemia treated with multiple daily insulin injections HypoDE : a multicentre, randomised controlled trial. Lancet , — Convulsive seizure detection using a wrist-worn electrodermal activity and accelerometry biosensor.

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  • Cardiopulmonary monitoring at home: the CHIME monitor - IOPscience?

Epilepsia 53 5 , e93—e97 Dressed to detect. Nature Suppl. Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study. Intensive Care 5, 64 Validation of an acoustic gastrointestinal surveillance biosensor for postoperative ileus. Current Studies Monitoring of gastric myoelectric activity after pancreaticoduodenectomy.

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Gastroenterology 5 , S—S Evaluating the validity of an automated device for asthma monitoring for adolescents: correlational design. Internet Res. The development of an automated device for asthma monitoring for adolescents: methodologic approach and user acceptability. Automated cough assessment on a mobile platform. Diagnostic utility of a novel leadless arrhythmia monitoring device. Incidence and timing of potentially high-risk arrhythmias detected through long term continuous ambulatory electrocardiographic monitoring. BMC Cardiovasc. A comparison of time delay in three continuous glucose monitors for adolescents and adults.

Health Risk Manag. Open Access J. Wearable sensors objectively measure gait parameters in Parkinson's disease. The sleep of the ring: comparison of the OURA sleep tracker against polysomnography. Sleep Med.

Digital Pathology: The Time Is Now to Bridge the Gap between Medicine and Technological Singularity

Head-impact-measurement devices: A systematic review. Learning deep physiological models of affect. IEEE Comput. Aggregate national experience with the wearable cardioverter-defibrillator: event rates, compliance, and survival. College Cardiol. Gyroscope vs. ICT Express 2 4 , — Digital health: tracking physiomes and activity using wearable biosensors reveals useful health-related information.

Cardiopulmonary monitoring at home: the CHIME monitor

PLoS Biol. DeepHeart: semi-supervised sequence learning for cardiovascular risk prediction. Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. A wellness study of individuals using personal, dense, dynamic data clouds. Personal omics profiling reveals dynamic molecular and medical phenotypes.

Cell 6 , — Integrative personal omics profiles during periods of weight gain and loss. Cell Syst. High frequency actionable pathogenic exome mutations in an average-risk cohort. Validation of a portable, deployable system for continuous vital sign monitoring using a multiparametric wearable sensor and personalised analytics in an Ebola treatment centre.

BMJ Global Health 1 1 , e Detection of sleep apnea on a per-second basis using respiratory signals. Osaka, Japan 3—7 July Automated prediction of the apnea-hypopnea index using a wireless patch sensor. Skin-contact sensor for automatic fall detection. Wireless patch sensor for remote monitoring of heart rate, respiration, activity, and falls. Perceived usefulness and ease of use of wearable sensor-based systems in emergency departments.

IIE Trans. Factors 3 3—4 , — Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index.

How is technology changing the healthcare sector?

Remote monitoring system of vital signs for triage and detection of anomalous patient states in the emergency room. Bucaramanga, Colombia 30 August—2 September Springer, Switzerland Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform. Wearable technologies — future challenges for implementation in healthcare services.