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Wearable Sensors for Blood Perfusion Monitoring in Patients with Diabetes Mellitus
Published in Andrey V. Dunaev, Valery V. Tuchin, Biomedical Photonics for Diabetes Research, 2023
Evgenii A. Zherebtsov, Elena V. Zharkikh, Yulia I. Loktionova, Angelina I. Zherebtsova, Viktor V. Sidorov, Alexander I. Krupatkin, Andrey V. Dunaev
To compare the amplitudes of oscillations recorded in different subjects obtained under various environmental conditions, the normalized oscillation amplitudes should be taken into consideration. In the literature devoted to LDF, there are two options for normalization of amplitudes: one is M-normalization and the other σ-normalization.
Titubation
Published in K. Gupta, P. Carmichael, A. Zumla, 100 Short Cases for the MRCP, 2020
K. Gupta, P. Carmichael, A. Zumla
Observe this patient and then examine whatever system you think is appropriate. The vertical oscillations of the head (bobbing to and fro) will give you the diagnosis as titubation.Note that the oscillations are present when the patient is sitting or standing. These movements disappear if the patient is lying down.Go on to examine for cerebellar signs: - Nystagmus.- Intention tremor or finger-nose testing.- Dysdiadokonesis.- Ataxic gait (ask patient to walk with one foot in front of the other).- With the examiner's permission, ask the patient to give his address and note the scanning speech (dysarthria).Look for pallor of the optic disc.
Gaze Anticipation Contributes to the Steering of Locomotion
Published in Michael Fetter, Thomas Haslwanter, Hubert Misslisch, Douglas Tweed, Three-Dimensional Kinematics of Eye, Head and Limb Movements, 2020
R. Grasso, S. Glasauer, Y. Takei, A. Berthoz
We observed that head yawing oscillations persisted also in the READ and DARK condition suggesting that this pattern represents a real feature of the head-walking coordination along circular paths. In summary such oscillations exhibited at least three typical characteristics: (a) they had half the frequency of the stepping rate, which means that they had the frequency of the whole locomotor cycle; (b) they were always smaller than the synchronous oscillations of walking direction and finally (c) they systematically anticipated (100–200 ms) the correlated fluctuations of the walking direction in all conditions. This phasic anticipation was affected by the trajectory curvature and seems to be independent of the inertial properties of the head. This last conclusion stems from the fact that when the subject was reading, and the head was almost immobile relative to trunk, the pattern was unchanged.
Development of a device to measure adherence and pressure characteristics of positive expiratory pressure therapies used by adults with cystic fibrosis
Published in Physiotherapy Theory and Practice, 2022
Nathan Ward, Bruce Ward, Kathy Stiller, Amanda Kenyon, Anne E Holland
The ability of the PEPtrac to accurately measure session duration and breath and set counts was tested with the following PEP/OscPEP devices: PariPEP S® (Pari, Starnberg, Germany), PariPEP S® combined with a Pari LC Sprint® (Pari, Starnberg, Germany) nebulizer (with 0.9% saline), PariOPEP®, Acapella DH® and Aerobika®. All sessions were performed by one investigator and simultaneously recorded on the PEPtrac and a video for later analysis. Based on treatment guidelines and device instruction manuals, the PariPEP sessions comprised six sets of 15 breaths, with the PEPtrac sampling at 10 Hz, while the PariOPEP®, Acapella DH® and Aerobika® sessions comprised four sets of 15 breaths, with the PEPtrac sampling at 100 Hz (International Physiotherapy Group for Cystic Fibrosis, 2009; McIlwaine et al., 2013). The higher PEPtrac sampling rate for the OscPEP devices was used to enable analysis of the frequency and amplitude of the oscillations.
Application of a Mapping Method in the Analysis of Electroretinogram in Patients with Retinitis Pigmentosa
Published in Seminars in Ophthalmology, 2022
Samiyeh Bakhshi, Soroor Behbahani, Narsis Daftarian
All of these three parameters might not show significant changes between the normal and patient groups. However, the distribution of points on the curves might have different patterns, and this is the missing link that was not visible in the ERG signal. Depending on the state of the positive or negative oscillations on the signal, the accumulation of points on the right may be equal on the left and right. Depending on the type of mapping chosen, it can be interpreted that the points that accumulate on the right or left side of the chart represent points of the negative or positive amplitude of the signal, and the highest parabolic points represent the highest peaks in the positive, or negative direction. A criterion was introduced to show the difference in this parabola pattern.19
Diurnal hepatic CYP3A11 contributes to chronotoxicity of the pyrrolizidine alkaloid retrorsine in mice
Published in Xenobiotica, 2021
Li Guo, Li Zhang, Haiman Xu, Pei Yu, Zhigang Wang, Danyi Lu, Min Chen, Baojian Wu
Most facets of physiology and behaviours in mammals are subjected to daily oscillations. Diurnal oscillations are governed by environmental cues (e.g. light), an internal circadian clock system (circadian timing system), and the interactions between the clock system and environmental signals (Dibner et al. 2010). The clock system has a complex architecture, consisting of a master pacemaker in the suprachiasmatic nucleus of the hypothalamus and subsidiary clocks in peripheral tissues (Dibner et al. 2010). The master clock synchronizes the subsidiary clocks mainly via neural and hormonal signals. The circadian clock in the cells consists of a set of genes and proteins including circadian locomotor output cycles kaput (CLOCK) (or neuronal pas domain protein 2, NPAS2), brain-and-muscle arnt-like protein 1 (BMAL1), periods (PER1, PER2 and PER3), and cryptochromes (CRY1 and CRY2) that operate using a transcriptional-translational feedback loop mechanism. BMAL1 and CLOCK (NPAS2) proteins form a heterodimer to activate the transcription of Pers, Crys and clock-controlled genes (CCGs) (Takahashi 2017). When CRYs and PERs reach a critical level, they inhibit the activity of BMAL1/CLOCK (NPAS2) and downregulate their own expression and the expression of CCGs (Chen et al. 2019). E4BP4 (E4-binding protein 4), also known as NFIL3 (nuclear factor interleukin 3-regulated), is involved in fine-tuning of circadian rhythms by regulating Per2 expression, thus is regarded as a clock protein (Chen et al. 2019; Tong et al. 2019).