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ChatGPT Use Case Low Heart Rate Evaluation Ozzie Paez / OPRHealth April 2024

ChatGPT Use Case: Low Heart Rate Evaluation 1 ©2024/Ozzie Paez-OPRHealth I. Background A patient using several devices to monitor his vitals noticed multiple unexpected drops in heart rate during his usual morning review of overnight monitoring – SpO2, heart rate, and motion. He didn’t remember a prior incident although his iWatch had logged a similar milder event three months earlier. Patient Information • Age: 64 years • Height: 5 feet 10.5 inches • Weight: 242 pounds • Blood Glucose (A1C): 6.7%. • Blood Pressure: Under Control with Treatment. • Physical Activities: • Walks 20-25 miles per week. • Aerobics three times per week. • Weights three times per week. • Other activities 8 to10 hours per week. Event The episode took place while the patient was asleep. It was captured, logged, and reported by two independent monitoring devices, thus eliminating the likelihood of equipment malfunctions. The patient was not under doctor’s care or observation and does not remember similar drops in heart rate during the over four years of nightly monitoring. He was asymptomatic throughout the episode, meaning that he was not awakened by the changes in heart rate. Monitoring The patient has been monitoring his SpO2, heart rate, and motion over the past four years and is intimately familiar with his monitoring devices, their data, and reports. He uses an Apple iWatch (currently a version 9) for continuous monitoring. It measures over a dozen vitals including heart rate. Overnight monitoring is augmented with a Wellue Sleep Monitor that measures and logs SpO2 levels, heart rate, and motion every five seconds. The accompanying app exported the data in CSV/Excel format.

ChatGPT Use Case: Low Heart Rate Evaluation 2 ©2024/Ozzie Paez-OPRHealth Monitors, alarms, report summaries Apple Watch Series 9 Wellue Sleep Monitor

ChatGPT Use Case: Low Heart Rate Evaluation 3 ©2024/Ozzie Paez-OPRHealth II. ChatGPT Analysis and Recommendations ChatGPT Start This report provides an analysis of the patient's pulse rate data, focusing on identifying any potential heart rate issues. The analysis includes a summary of the pulse rate data, identification of abnormalities or outliers, and an examination of the variability and distribution of pulse rates. Visualizations • Pulse Rate Over Time • Distribution of Pulse Rate Values

ChatGPT Use Case: Low Heart Rate Evaluation 4 ©2024/Ozzie Paez-OPRHealth Summary Statistics • Total Measurements: 4350.0 • Mean (Average) Pulse Rate: 70.08 bpm • Standard Deviation: 9.87 bpm • Minimum Pulse Rate: 36.0 bpm • Maximum Pulse Rate: 93.0 bpm • Median Pulse Rate: 70.0 bpm • Mode (Most Frequent Value): 67 bpm Visualization and Analysis of Pulse Rate, SpO2, and Motion Data The following presents a combined analysis of Pulse Rate, SpO2 (Oxygen Level), and Motion. The visualization aims to identify any correlations or patterns between these variables over time. Pulse Rate, SpO2, and Motion Over Time The plot visualizes the changes in Pulse Rate, SpO2, and Motion over the observed period. It allows for a direct comparison of these variables to identify any correlations or significant patterns. Analysis and Findings The pulse rate data analysis indicates that the average pulse rate falls within the normal resting range for adults (60-100 bpm). However, the presence of a minimum pulse rate of 36 bpm suggests episodes of bradycardia, a condition characterized by a slower than normal heart rate.

ChatGPT Use Case: Low Heart Rate Evaluation 5 ©2024/Ozzie Paez-OPRHealth The analysis of pulse rate variability and distribution revealed that most pulse rates are concentrated around the 60-80 bpm range, with fewer occurrences of lower and higher rates. This distribution is somewhat normal, with a slight skew towards the lower end, highlighting the presence of lower pulse rate values that could be clinically significant. Conclusion and Recommendations These findings suggest that while the patient's heart rate is generally within a normal range, there are episodes of bradycardia that warrant further medical evaluation. Continuous monitoring and further diagnostic tests may be necessary to determine the cause of these episodes and to assess the need for treatment. Consulting with a cardiologist for a comprehensive evaluation is recommended. Sources and References 1. Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation, 1996. 2. The Measurement of Heart Rate. Aubert, A. E., Seps, B., & Beckers, F. Journal of Sports Sciences, 2003. 3. Assessment and Interpretation of Heart Rate Variability. Camm, A. J., Malik, M., Bigger, J. T., Breithardt, G., Cerutti, S., Cohen, R. J., ... & Lombardi, F. European Heart Journal, 1996. 4. Heart Rate Variability: An Indicator of Heart Health. Thayer, J. F., Yamamoto, S. S., & Brosschot, J. F. Ageing Research Reviews, 2010. 5. Clinical Applications of Heart Rate Variability. Shaffer, F., & Ginsberg, J. P. Global Advances in Health and Medicine, 2017. ChatGPT End