18374233. Detecting Conditions Using Heart Rate Sensors simplified abstract (Apple Inc.)

Detecting Conditions Using Heart Rate Sensors

Organization Name

Apple Inc.

Inventor(s)

Stephen J. Waydo of Saratoga CA (US)

Christopher J. Brouse of Saratoga CA (US)

Ian R. Shapiro of San Francisco CA (US)

Joseph C. Mcbride of San Jose CA (US)

Michael O'reilly of San Jose CA (US)

Myra Mary Haggerty of San Mateo CA (US)

Detecting Conditions Using Heart Rate Sensors - A simplified explanation of the abstract

This abstract first appeared for US patent application 18374233 titled 'Detecting Conditions Using Heart Rate Sensors

Simplified Explanation: This patent application discusses methods and devices for measuring irregularities in a signal, including using a PPG sensor unit to detect events and motion sensors to enhance measurement accuracy.

Key Features and Innovation:

• Devices utilize a PPG sensor unit to detect multiple occurrences of events in a signal over a sampling interval.
• Motion sensors are used to determine if the device is in a low-motion state before initiating measurements.
• The device can reset the sample procedure based on factors like the number of non-qualifying measurements.
• Primary and secondary measurements can be performed under different operating conditions.

Potential Applications: This technology can be applied in various fields such as healthcare, fitness tracking, and sports performance monitoring.

Problems Solved: The technology addresses the need for accurate measurement of irregularities in signals, especially in dynamic environments.

Benefits:

• Enhanced measurement accuracy
• Improved data collection in motion-intensive scenarios
• Efficient resetting of sample procedures

Commercial Applications: Potential commercial applications include wearable health devices, sports performance trackers, and medical monitoring equipment.

Prior Art: Prior art related to this technology may include patents or research on signal measurement devices and motion sensors.

Frequently Updated Research: Stay updated on advancements in signal processing algorithms and motion sensor technology for improved measurement accuracy.

Questions about Methods for Measuring Irregularities in a Signal: Question 1: How do motion sensors contribute to enhancing measurement accuracy in this technology? Answer 1: Motion sensors help determine if the device is in a low-motion state before initiating measurements, ensuring more accurate data collection.

Question 2: What are the potential commercial applications of devices using this technology? Answer 2: Potential commercial applications include wearable health devices, sports performance trackers, and medical monitoring equipment.

Original Abstract Submitted

This relates to methods for measuring irregularities in a signal and corresponding devices. The devices can include a PPG sensor unit configured to detect multiple occurrences of a given event in the measured signal(s) over a sampling interval. In some instances, the device can register the occurrences of the events. In some examples, the device can include one or more motion sensors configured to detect whether the device is in a low-motion state. The device may delay initiating measurements when the device is not in a low-motion state to enhance measurement accuracy. Examples of the disclosure further include resetting the sample procedure based on one or more factors such as the number of non-qualifying measurements. In some examples, the device can be configured to perform both primary and secondary measurements, where the primary measurements can include readings using a set of operating conditions different from the secondary measurements.