Paula R. Pullen

Effects of Yoga on Inflammation and Exercise Capacity in Patients With Chronic Heart Failure

BACKGROUND Despite recent advances in pharmacologic and device therapy, morbidity and mortality from heart failure (HF) remain high. Yoga combines physical and breathing exercises that may benefit patients with HF. We hypothesized that an 8-week regimen of yoga in addition to standard medical therapy would improve exercise capacity, inflammatory markers, and quality of life (QoL) in patients with HF. METHODS AND RESULTS New York Heart Association Class I-III HF patients were randomized to yoga treatment (YT) or standard medical therapy (MT). Measurements included a graded exercise test (GXT) to V O(2Peak) and the following serum biomarkers: interleukin-6 (IL-6), high-sensitivity C-reactive protein (hsCRP), and extracellular superoxide dismutase (EC-SOD). The Minnesota Living with Heart Failure Questionnaire (MLHFQ) was administered to assess changes in QoL. A total of 19 patients were enrolled after the initial screening. Of the 19 patients, 9 were randomized to YT and 10 to MT. Patients had a mean EF of 25%. GXT time and V O(2Peak) were significantly improved in the YT versus MT groups (+18% in the YT and -7.5% in MT; P = .03 vs. control and +17 in YT and -7.1 in MT; P = .02, respectively). There were statistically significant reductions in serum levels of IL-6 and hsCRP and an increase in EC-SOD in the YT group (all P < .005 vs. MT). MLHFQ scores improved by 25.7% in the YT group and by 2.9% in the MT group. CONCLUSIONS Yoga improved exercise tolerance and positively affected levels of inflammatory markers in patients with HF, and there was also a trend toward improvements in QoL.

Benefits of Yoga for African American Heart Failure Patients

BACKGROUND The number of African American (AA) patients living with heart failure (HF) has been increasing, especially among the economically disadvantaged. Yoga therapy has been found to improve physical and psychological parameters among healthy individuals, but its effect in patients with HF remains unknown. The purpose of this study was to examine the effects of yoga therapy on cardiovascular endurance (VO2peak), flexibility, quality of life (QoL), and inflammatory markers on medically stable HF patients. METHODS Forty patients (38 AA, 1 Asian, and 1 Caucasian) with systolic or diastolic HF were randomized to the yoga group (YG, n = 21) or the control group (CG, n = 19). All patients were asked to follow a home walk program. Premeasurement and postmeasurement included a treadmill stress test to peak exertion, flexibility, interleukin-6 (IL-6), C-reactive protein (CRP), and extracellular superoxide dismutase (EC-SOD). QoL was assessed by the Minnesota Living with Heart Failure Questionnaire (MLwHFQ). RESULTS The statistical analyses (assessed by ANOVA and t-tests) were significant for favorable changes in the YG, compared with those in the CG, for flexibility (P = 0.012), treadmill time (P = 0.002), VO2peak (P = 0.003), and the biomarkers (IL-6, P = 0.004; CRP, P = 0.016; and EC-SOD, P = 0.012). Within the YG, pretest to posttest scores for the total (P = 0.02) and physical subscales (P < 0.001) of the MLwHFQ were improved. CONCLUSIONS Yoga therapy offered additional benefits to the standard medical care of predominantly AA HF patients by improving cardiovascular endurance, QoL, inflammatory markers, and flexibility.

Machine Learning Gesture Analysis of Yoga for Exergame Development

Many successful and innovative information technology applications use gestures as input. These programs span a wide variety of genres, platforms and input technologies, from the touch screen of a smart phone to the full-motion, the natural input of devices like the Kinect Sensor. Visual Gesture Builder, a data-driven machine-learning solution for gesture detection, was used to capture useful yoga gestures with high accuracy. This gesture analysis technology is being explored for incorporation into exergames for personalised medical interventions. The research goal is to test whether a machine learning algorithm in a basic computer video exergame can assess yoga skill acquisition in targeted select populations as a means to promote healthy physical activity.