Apple inc. (20240188845). Respiratory Measurement System simplified abstract
Contents
- 1 Respiratory Measurement System
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Respiratory Measurement System - 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 Health Monitoring Devices
- 1.13 Original Abstract Submitted
Respiratory Measurement System
Organization Name
Inventor(s)
Anirban Chatterjee of Sunnyvale CA (US)
Respiratory Measurement System - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240188845 titled 'Respiratory Measurement System
Simplified Explanation
The wearable device described in the patent application includes a touch-sensitive display, electrodes, and a band to secure it to the user. It can apply electrical signals to the user, measure the signals, generate impedance data, and identify respiratory cycles.
- The wearable device has a touch-sensitive display and electrodes.
- It can apply electrical signals to the user and measure them.
- The device generates impedance data and identifies respiratory cycles.
Key Features and Innovation
- Wearable device with touch-sensitive display and electrodes.
- Ability to apply electrical signals, measure them, and generate impedance data.
- Identification of respiratory cycles based on the data collected.
Potential Applications
- Health monitoring for respiratory conditions.
- Sleep monitoring for sleep apnea detection.
- Fitness tracking for breathing patterns during exercise.
Problems Solved
- Monitoring respiratory health in real-time.
- Providing data for early detection of breathing issues.
- Tracking breathing patterns for overall wellness.
Benefits
- Early detection of respiratory problems.
- Personalized health monitoring.
- Improved fitness tracking with breathing data.
Commercial Applications
Respiratory Health Monitoring Wearable Device: Revolutionizing Personal Health Monitoring
This technology can be used in the healthcare industry for remote patient monitoring, fitness tracking devices, and sleep monitoring tools. It has the potential to revolutionize how individuals monitor their respiratory health and overall well-being.
Prior Art
For prior art related to this technology, researchers can explore patents and publications in the fields of wearable technology, health monitoring devices, and bioimpedance measurement techniques.
Frequently Updated Research
Researchers are constantly exploring new applications and improvements in wearable health monitoring devices. Stay updated on the latest advancements in bioimpedance technology for respiratory health monitoring.
Questions about Wearable Health Monitoring Devices
How accurate are the measurements taken by the wearable device?
The accuracy of the measurements depends on the calibration of the electrodes and the algorithms used to analyze the data. Regular calibration and validation studies can ensure reliable results.
What are the privacy concerns associated with using wearable health monitoring devices?
Privacy concerns may arise from the collection and storage of personal health data. It is essential for manufacturers to implement robust data security measures to protect user information.
Original Abstract Submitted
embodiments are directed to a wearable device that can include a housing, a touch-sensitive display coupled to the housing, a band coupled to the housing and configured to secure the housing to a user, and a plurality of electrodes that contact the user when the wearable device is worn by the user. the wearable device can be configured to cause the plurality of electrodes to apply electrical signals to the user, measure the electrical signals from the user using the plurality of electrodes, generate a set of impedance data from the measured electrical signals, and identify one or more respiratory cycles using the set of impedance data.
