google-site-verification=Bi5tI8WZLmgLQCt3p-aIw8z5CkJAHeD9rrURuZtohHM Heart Rate Monitoring - Human Factors Minute

Episode 126

Heart Rate Monitoring

Heart rate monitoring is often used to gather real-time data from a user’s physiological response while they are performing tasks on a product or system. This is an important biometric & neuro-measurement tool because it senses unconscious changes in a user’s stress, workload, and drowsiness. Since mental processing like emotional reactions and decision-making happen unconsciously, it offers more insight to how a user’s body is responding to a given situation.

 In user studies, if a participant is having trouble completing a task, they might become more emotionally aroused and stressed. Even if they verbally express that they aren’t having much difficulty, heart rate monitoring can provide insight into the actual physiological response during various tasks.

 There are a few main methods of gathering data from heart rate monitoring: A PPG, or photoplethysmogram, has an optical sensor which measures discoloration of a user’s skin as blood runs through capillaries and arteries with each heartbeat. The most common PPGs are usually fingertip sensors or wrist bracelets and they are low-cost, not very intrusive, and easy to set up. However, they have more “noise” and “waveform morphology” variation than the other method, electrocardiogram.

Both ECG and EKG reference an electrocardiogram, which directly measures the heart’s electrical activation. It creates different waveform data than a PPG, but it’s the most accurate for real-time heart monitoring. A wearable EKG chest monitor is the most accurate way outside of a hospital setting to gather a user’s heart rate data. The downside to these devices is that they’re typically expensive and more intrusive than a PPG.

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Transcript

...and now for another Human Factors Minute!

Heart rate monitoring is often used to gather real-time data from a user’s physiological response while they are performing tasks on a product or system. This is an important biometric & neuro-measurement tool because it senses unconscious changes in a user’s stress, workload, and drowsiness. Since mental processing like emotional reactions and decision-making happen unconsciously, it offers more insight to how a user’s body is responding to a given situation.

In user studies, if a participant is having trouble completing a task, they might become more emotionally aroused and stressed. Even if they verbally express that they aren’t having much difficulty, heart rate monitoring can provide insight into the actual physiological response during various tasks.

There are a few main methods of gathering data from heart rate monitoring: A PPG, or photoplethysmogram, has an optical sensor which measures discoloration of a user’s skin as blood runs through capillaries and arteries with each heartbeat. The most common PPGs are usually fingertip sensors or wrist bracelets and they are low-cost, not very intrusive, and easy to set up. However, they have more “noise” and “waveform morphology” variation than the other method, electrocardiogram.

Both ECG and EKG reference an electrocardiogram, which directly measures the heart’s electrical activation. It creates different waveform data than a PPG, but it’s the most accurate for real-time heart monitoring. A wearable EKG chest monitor is the most accurate way outside of a hospital setting to gather a user’s heart rate data. The downside to these devices is that they’re typically expensive and more intrusive than a PPG.

This has been another Human Factors Minute!

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Human Factors Minute
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About your host

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Nick Roome

Nick is currently a Systems engineer at Imagine Believe Realize LLC in Phoenix Metro area. Alongside colleague and friends, Blake Arnsdorff and Barry Kirby, Nick hosts and produces Human Factors Cast, a weekly podcast that investigates the sciences of human factors, psychology, engineering, biomechanics, industrial design, physiology and anthropometry and how it affects our interaction with technology. Nick’s other areas of interest include, but are not limited to virtual, augmented, and mixed reality, systems engineering, and artificially intelligent systems.

Nick Started Human Factors Cast in early 2016 as a side-project. He believed that the way Human Factors concepts were being communicated is broken and saw a way to fix it. After getting initial traction, Nick moved to work on the Human Factors Cast Digital Media Lab and began assembling a multi-disciplinary team to test out new concepts in Human Factors communication.