Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Fig 9 - by Dennis Ochola (11626912)

Fig 7 - by Dennis Ochola (11626912)

Fig 4 - by Dennis Ochola (11626912)

Fig 5 - by Dennis Ochola (11626912)

Heart rate variability in type 2 diabetes mellitus: A systematic review and meta–analysis by Thomas Benichou (5047928)

“…Levels of blood glucose and HbA1c were associated with several HRV parameters, as well as Time from diagnosis of T2DM</p><p>Conclusions</p><p>T2DM was associated with an overall decrease in the HRV of T2DM patients. …”

Fli-1 directly activates miR-17-92 promoter and contributes to miR-17 and miR-20a expression in NN10#5 cells. by Samer Kayali (133888)

Table_2_Brain–Heart Interaction During Transcutaneous Auricular Vagus Nerve Stimulation.docx by Kathrin Machetanz (10302452)

“…We used intermitted stimulation bursts of 25 Hz applied at a periodicity of 1 Hz. HRV was estimated with different time-domain methodologies: standard deviation of RR (SDNN), the root mean squares of successive differences (RMSSD), the percentage of RR-intervals with at least 50 ms deviation from the preceding RR-interval (pNN50), and the difference of consecutive RR intervals weighted by their mean (rrHRV).…”

Table 1_Effects of two kinds of vestibular function training on reducing motion sickness in college students.docx by Linyao Shi (20684204)

“…In the visual-motion cage rotating chair group, in addition to a reduction in the percentage of adjacent normal-to-normal intervals which differed by more than 50 ms (pNN50), as well as decreases in low-frequency power (LF), an increase in LF/HF was observed. …”

Family History of Hypertension Impairs the Autonomic Balance, but not the Endothelial Function, in Young Soccer Players by Walter Vargas (6798635)

“…Results The standard deviation of normal RR intervals (SDNN; FM-N=314±185; FM-H=182.4± 57.8), the square root of the mean squared differences in successive RR intervals (RMSSD; FM-N=248±134; FM-H=87±51), the number of interval differences of successive NN intervals greater than 50ms (NN50; FM-N=367±83.4; FM-H=229±55), the ratio derived by dividing NN50 by the total number of NN intervals (pNN50; FM-N=32.4±6.2; FM-H=21.1±5.3) and the high (HF; FM-N=49±8.9; FM-H=35.3±12) and low-frequency (LF; FM-N=50.9±8.9; FM-H=64.6±12) components, in normalized units (%), were significantly lower in the FM-H group than in the FM-N group (p<0.05). …”

Hepatocyte Growth Factor Modification Enhances the Anti-Arrhythmic Properties of Human Bone Marrow-Derived Mesenchymal Stem Cells by Jian Zhang (1682)

“…Moreover, the HGF-MSC group exhibited a decrease in the number of sympathetic nerve fibers, substantial decreases in the low frequency and the low-/high- frequency ratio and increases in the root mean square of successive differences (rMSSD) and the percentage of successive normal sinus R-R intervals longer than 50 ms (pNN50), compared with the other two groups. …”

Table_1_Brain–Heart Interaction During Transcutaneous Auricular Vagus Nerve Stimulation.docx by Kathrin Machetanz (10302452)

“…We used intermitted stimulation bursts of 25 Hz applied at a periodicity of 1 Hz. HRV was estimated with different time-domain methodologies: standard deviation of RR (SDNN), the root mean squares of successive differences (RMSSD), the percentage of RR-intervals with at least 50 ms deviation from the preceding RR-interval (pNN50), and the difference of consecutive RR intervals weighted by their mean (rrHRV).…”

Factor analysis of abnormal postural change cardiovascular autonomic indices within pSS patients by Fin ZJ Cai (51289)

“…Factor 1 had the highest loadings for HRV, pNN50 and the 30/15 RR ratio. Factor 2 had the highest loadings for ΔSBP and BPV. …”