18397321. METHOD OF MONITORING BLOOD SUGAR AND ELECTRONIC DEVICE SUPPORTING SAME simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 METHOD OF MONITORING BLOOD SUGAR AND ELECTRONIC DEVICE SUPPORTING SAME
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD OF MONITORING BLOOD SUGAR AND ELECTRONIC DEVICE SUPPORTING SAME - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Wearable Electronic Device
- 1.13 Original Abstract Submitted
METHOD OF MONITORING BLOOD SUGAR AND ELECTRONIC DEVICE SUPPORTING SAME
Organization Name
Inventor(s)
METHOD OF MONITORING BLOOD SUGAR AND ELECTRONIC DEVICE SUPPORTING SAME - A simplified explanation of the abstract
This abstract first appeared for US patent application 18397321 titled 'METHOD OF MONITORING BLOOD SUGAR AND ELECTRONIC DEVICE SUPPORTING SAME
Simplified Explanation
The wearable electronic device can measure blood sugar levels, detect specified events, store blood sugar data, and calculate feature values related to blood sugar.
- Measures blood sugar levels using sensors
- Detects specified events based on sensor data
- Stores blood sugar data at different time points
- Calculates feature values related to blood sugar
Key Features and Innovation
- Wearable electronic device with sensors for measuring blood sugar levels
- Ability to detect specified events based on sensor data
- Stores blood sugar data at different time points
- Calculates feature values related to blood sugar
Potential Applications
The technology can be used in healthcare for monitoring blood sugar levels in patients with diabetes. It can also be used in fitness and wellness applications for tracking blood sugar levels during physical activity.
Problems Solved
The technology addresses the need for continuous monitoring of blood sugar levels in a convenient and wearable device. It also helps in detecting specified events related to blood sugar fluctuations.
Benefits
- Continuous monitoring of blood sugar levels
- Early detection of blood sugar fluctuations
- Convenient and wearable design
Commercial Applications
- Healthcare industry for diabetes management
- Fitness and wellness industry for monitoring blood sugar levels during physical activity
Prior Art
There are existing wearable devices that can monitor blood sugar levels, but this technology offers the additional capability of detecting specified events and calculating feature values related to blood sugar.
Frequently Updated Research
There may be ongoing research on improving the accuracy and efficiency of measuring blood sugar levels using wearable electronic devices.
Questions about Wearable Electronic Device
Question 1
How does the wearable electronic device measure blood sugar levels accurately?
The wearable electronic device uses sensors to measure blood sugar levels accurately by detecting specified events and storing data at different time points.
Question 2
What are the potential applications of the wearable electronic device beyond healthcare?
The wearable electronic device can also be used in fitness and wellness applications for tracking blood sugar levels during physical activity, providing a broader range of potential applications.
Original Abstract Submitted
A wearable electronic device is provided. The wearable electronic device includes a first sensor, a second sensor, a memory, and a processor, wherein the processor may be configured to measure a blood sugar level in a first cycle using the first sensor so as to store a first blood sugar level measured at a first time point, detect a specified event, based on measured values received from the second sensor from a second time point after the first time point to a third time point, if the specified event is detected, measure a blood sugar level of the user in a second cycle different from the first cycle so as to store at least one second blood sugar level measured from a fourth time point to a fifth time point according to the second cycle, and calculate at least one feature value related to blood sugar of the user.
