[HTML][HTML] A novel approach for continuous health status monitoring and automatic detection of infection incidences in people with type 1 diabetes using machine …
Background Semisupervised and unsupervised anomaly detection methods have been
widely used in various applications to detect anomalous objects from a given data set …
widely used in various applications to detect anomalous objects from a given data set …
[HTML][HTML] Toward detecting infection incidence in people with type 1 diabetes using self-recorded data (part 1): a Novel Framework for a Personalized Digital Infectious …
AZ Woldaregay, IK Launonen, E Årsand… - Journal of medical …, 2020 - jmir.org
Background Type 1 diabetes is a chronic condition of blood glucose metabolic disorder
caused by a lack of insulin secretion from pancreas cells. In people with type 1 diabetes …
caused by a lack of insulin secretion from pancreas cells. In people with type 1 diabetes …
Free ride in rush-hour traffic–Designing gamified smart mobility systems for sustainable use
A large proportion of traffic congestion can be attributed to daily commute. While smart
mobility systems (SMSs) intend to address the resulting challenges by actively changing …
mobility systems (SMSs) intend to address the resulting challenges by actively changing …
Integrating Various Sensor Readings from MySignals into a Standalone Mobile Health App
M Koirala - 2021 - munin.uit.no
This project integrates various health parameters Temperature, Heart Rate, Pulse Rate,
Blood Pressure, Respiration Rate, ECG, EMG, GSR, Spirometry values, Snore, Blood Sugar …
Blood Pressure, Respiration Rate, ECG, EMG, GSR, Spirometry values, Snore, Blood Sugar …
[引用][C] Towards Long-term Use of Information Systems: Investigations into the Design of Smart Mobility Systems to Improve Smart Cities
C Anschütz - 2024