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Fig. 4. Weekly pattern for a patient’s vital sign. Due to low cost and decreased size of sensor devices, using IoT for yroviding real evolutionary medical cases and supporting recent

Figure 4 Weekly pattern for a patient’s vital sign. Due to low cost and decreased size of sensor devices, using IoT for yroviding real evolutionary medical cases and supporting recent

Related Figures (5)

Fig. 1. IoT-based flip learning platform (IoTFLiP) architecture.
Fig. 1. IoT-based flip learning platform (IoTFLiP) architecture.
Fig. 2. ICBFLT flow chart.
Fig. 2. ICBFLT flow chart.
* Blood Pressure. > Glucose Level. Patient data. Table 1
* Blood Pressure. > Glucose Level. Patient data. Table 1
Fig. 3. Working scenario for case-based flipped learning.
Fig. 3. Working scenario for case-based flipped learning.
IoT gadgets for collecting vital signs. Table 2
IoT gadgets for collecting vital signs. Table 2
Related topics:
Computer ScienceMedical EducationFlipped learningDigital communications networksCloud Environment
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