18526514. Respiratory Measurement System simplified abstract (Apple Inc.)
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 18526514 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 that contact the user.
- It can apply electrical signals to the user and measure the signals using the electrodes.
- The device generates impedance data from the measured signals.
- It can identify respiratory cycles based on the impedance data.
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 using the impedance data.
Potential Applications
- Health monitoring for respiratory conditions.
- Sleep monitoring for sleep apnea detection.
- Fitness tracking for analyzing breathing patterns during exercise.
Problems Solved
- Enables real-time monitoring of respiratory cycles.
- Provides valuable data for healthcare professionals.
- Improves understanding of breathing patterns and potential issues.
Benefits
- Early detection of respiratory problems.
- Personalized health insights based on breathing data.
- Enhanced fitness tracking capabilities.
Commercial Applications
Respiratory Health Monitoring Device for Healthcare Industry
This wearable device can be used in hospitals and clinics for monitoring patients' respiratory health, providing valuable data for diagnosis and treatment.
Prior Art
There may be prior art related to wearable devices with electrodes for health monitoring and impedance data analysis. Researchers can explore existing patents and publications in the field of wearable health technology.
Frequently Updated Research
Researchers are constantly studying the use of wearable devices for health monitoring and analyzing impedance data for various applications, including respiratory monitoring.
Questions about Wearable Health Monitoring Devices
How accurate are the respiratory cycle identifications made by the wearable device?
The accuracy of respiratory cycle identifications depends on the quality of the impedance data collected and the algorithms used for analysis. Continuous improvement in sensor technology and data processing algorithms can enhance accuracy over time.
What are the potential privacy concerns associated with using wearable devices for health monitoring?
Privacy concerns may arise from the collection and storage of sensitive health data. It is essential for manufacturers to implement robust data security measures and ensure compliance with privacy regulations to protect users' 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.
