https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34605 Wed 24 Nov 2021 15:51:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27834 Wed 11 Apr 2018 18:16:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19225 Wed 11 Apr 2018 16:44:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25350 Wed 11 Apr 2018 15:51:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20393 Wed 11 Apr 2018 14:41:48 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25347 Wed 11 Apr 2018 13:17:58 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28588 Wed 11 Apr 2018 12:59:06 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23238 Wed 11 Apr 2018 09:40:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45161 RR intervals. When quantified using an entropy measure, these time series show statistically significant differences between disease classes of Normal, Early CAN and Definite CAN. In addition, pathophysiological characteristics of heartbeat dynamics provide information not only on the change in the system using the first difference but also the magnitude and direction of the change measured by the second difference (acceleration) with respect to sequence length. These additional measures provide disease categories to be discriminated and could prove useful for non-invasive diagnosis and understanding changes in heart rhythm associated with CAN.]]> Thu 27 Oct 2022 14:52:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42122 LRRK2 mutation. Novel HRV features have not been investigated in these individuals. We aimed to assess cardiac autonomic modulation through standard and novel approaches to HRV analysis in individuals who carry the LRRK2 G2019S mutation. Methods: Short-term electrocardiograms were recorded in 14 LRRK2-associated PD patients, 25 LRRK2-non-manifesting carriers, 32 related non-carriers, 20 idiopathic PD patients, and 27 healthy controls. HRV measures were compared using regression modeling, controlling for age, sex, mean heart rate, and disease duration. Discriminant analysis highlighted the feature combination that best distinguished LRRK2-associated PD from controls. Results: Beat-to-beat and global HRV measures were significantly increased in LRRK2-associated PD patients compared with controls (e.g., deceleration capacity of heart rate: p = 0.006) and idiopathic PD patients (e.g., 8^th standardized moment of the interbeat interval distribution: p = 0.0003), respectively. LRRK2-associated PD patients also showed significantly increased irregularity of heart rate dynamics, as quantified by Rényi entropy, when compared with controls (p = 0.002) and idiopathic PD patients (p = 0.0004). Ordinal pattern statistics permitted the identification of LRRK2-associated PD individuals with 93% sensitivity and 93% specificity. Consistent results were found in a subgroup of LRRK2-non-manifesting carriers when compared with controls. Conclusions: Increased beat-to-beat HRV in LRRK2 G2019S mutation carriers compared with controls and idiopathic PD patients may indicate augmented cardiac autonomic cholinergic activity, suggesting early impairment of central vagal feedback loops in LRRK2-associated PD.]]> Thu 25 Aug 2022 11:53:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36158 0 showed the best performance for differentiating T1DM patients with CAN (p < 0.0001). PE measures showed better performance with ordinal patterns and τ = 4, 5 and 7 for differentiating patients with CAN. RE and PE provide complementary information achieving 100% classification accuracy (p < 0.0001 and p < 0.001, respectively). This approach might be promising as a sensitive and specific tool for CAN diagnosis in T1DM.]]> Thu 20 Feb 2020 14:45:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7056 Sat 24 Mar 2018 08:37:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12345 Sat 24 Mar 2018 08:18:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12386 Sat 24 Mar 2018 08:18:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20969 Sat 24 Mar 2018 07:54:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5912 Sat 24 Mar 2018 07:46:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28654 Sat 24 Mar 2018 07:37:13 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29249 2 vs. 96.8 (97.6) ms², p=0.02) and the correlation dimension (0.78 (0.82) vs. 0.51 (1.20), p<0.0002) were significantly lower in the low SES group, whilst the high frequency peak was significantly higher (0.1500 (0.0004) Hz vs. 0.1503 (0.0066) Hz, p<0.0001). Our results show that although the high SES group had a more sedentary behavior, the low SES group had a higher risk of cardiac arrhythmia even though they were generally younger with normal blood pressure and waist circumference.]]> Sat 24 Mar 2018 07:36:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26213 Sat 24 Mar 2018 07:36:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23795 Sat 24 Mar 2018 07:13:18 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48691 Mon 27 Mar 2023 18:51:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40094 Mon 20 Nov 2023 16:00:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36022 Fri 24 Jan 2020 16:36:15 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48901 Fri 14 Apr 2023 15:38:42 AEST ]]>