The goal of this research is to develop a new breathing feature on the meditation app, Equa, to help young adults who are distressed, understand their physiological responses and mindfulness skill development during meditation. Our main aims are to build an algorithm that can use physiologic signals to: * Give feedback about how participant physiology is changing during guided lessons on the meditation app, Equa * Measure how much participant mindfulness skills are improving Participants will: * Complete a survey about demographics, their thoughts and feelings before and after the mindfulness meditation program * Complete 14 smartphone guided mindfulness meditation training units while physiological measures are being recorded * Complete a few brief questionnaires before and after mindfulness practices to understand potential changes in their mindfulness skills
Age range
18 Years – 30 Years
Sex
ALL
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Optimization of deep learning algorithms that correlate changes in respiration dynamics during meditation training to changes in mindfulness skills from pre-training to post-training
Timeframe: Same day, change from pre-mindfulness meditation training to post-mindfulness meditation training