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The Bliss Buzzer is worn on the wrist and is connected via Bluetooth to a tablet. The user also simultaneously wears a heart rate monitor or other sensors, which wirelessly transmit data in real-time to the tablet. When a certain optimal value is reached (say, for heart rate variation), the tablet triggers the device's operating system to alert the user via an audible tone or haptic vibration. This feedback loop can 'train' the user to become aware of thoughts or behaviors that lead to healthful or detrimental bodily states.

THE ANALYSIS

Heart Rate Variation Analysis

Our custom-designed algorithms make it possible to visually interpret your heart rate variation (HRV) and determine your heart health for a specific span of time. In the figure at left, a subject uploaded data he captured with the Bliss Buzzer while practicing Kundalini Yoga. The Bliss Buzzer web interface makes it possible to remove unwanted artifacts from the data, visualize the corresponding heart rate and select a specific RR interval (or span of time between heart beats). Clicking on the Selected Windows highlights an interval that corresponds with a particular activity (for example, Ganesha meditation) and provides the HRV analysis for that activity. The user can also annotate the data with any notes or reminders.

Technical detail: In the analysis, we visualize the Scatter Plot of the RR intervals, we approximate the distribution of the RR intervals in an RR Histogram, we represent the pNN(x) values [1] and we analyze the Power Spectrum of the signals. Finally, we provide some Time Domain Aggregates describing the signal, and we also sonify it (Heart Rate Sonification).

Multiple subjects HRV Analysis

It is also possible with the Bliss Buzzer system to analyze the RR interval signals taken from two or more individuals to determine if their signals were synchronized at any point in time while they performed the same activity. The example at left shows a joint analysis of multiple signals. It is clear from the data that the individuals in our example achieved RR interval wavelet coherence, meaning their heart rates start to vary in a synchronized way at a specific frequency.

IN THE PRESS

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THE TEAM

The team from the Qualcomm Institute is a diverse bunch, hailing from Italy, India, China, Bangladesh, Nigeria and the United States. Pictured at right are Qualcomm Institute Director Ramesh Rao, Senior Engineer John Zhu, Programmer Analyst Arindam Ganguly, Programmer Analyst Anthony Nwokafor, Computer Science and Engineering (CSE) undergraduate student Dheeraj Navani, CSE graduate student Nafi Rashid, Public Information Officer Tiffany Fox and Postdoctoral Researcher Giorgio Quer.

CONTACT US

For general inquiries, please contact us at blissbuzzer@calit2.net