Comparison of hierarchical and six degrees-of-freedom marker sets in analyzing gait kinematics

The objective of this study was to determine how marker spacing, noise, and joint translations affect joint angle calculations using both a hierarchical and a six degrees-of-freedom (6DoF) marker set. A simple two-segment model demonstrates that a hierarchical marker set produces biased joint rotation estimates when sagittal joint translations occur whereas a 6DoF marker set mitigates these bias errors with precision improving with increased marker spacing. These effects were evident in gait simulations where the 6DoF marker set was shown to be more accurate at tracking axial rotation angles at the hip, knee, and ankle.     

Precise Coordination of Three-Dimensional Rotational Kinematics by Ventral Tegmental Area GABAergic Neurons

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Behaviour and kinematics of continuous ram filtration in bowhead whales (Balaena mysticetus)

Balaenid whales perform long breath-hold foraging dives despite a high drag from their ram filtration of zooplankton. To maximize the volume of prey acquired in a dive with limited oxygen supplies, balaenids must either filter feed only occasionally when prey density is particularly high, or they must swim at slow speeds while filtering to reduce drag and oxygen consumption. Using digital tags with three-axis accelerometers, we studied bowhead whales feeding off West Greenland and present here, to our knowledge, the first detailed data on the kinematics and swimming behaviour of a balaenid whale filter feeding at depth. Bowhead whales employ a continuous fluking gait throughout the bottom phase of foraging dives, moving at very slow speeds (less than 1 m s⁻¹), allowing them to filter feed continuously at depth. Despite the slow speeds, the large mouth aperture provides a water filtration rate of approximately 3 m³ s⁻¹, amounting to some 2000 tonnes of water and prey filtered per dive. We conclude that a food niche of dense, slow-moving zooplankton prey has led balaenids to evolve locomotor and filtering systems adapted to work against a high drag at swimming speeds of less than 0.07 body length s⁻¹ using a continuous fluking gait very different from that of nekton-feeding, aquatic predators.     

Exposure to the seminal plasma of different portions of the boar ejaculate modulates the survival of spermatozoa cryopreserved in MiniFlatPacks

Spermatozoa present in the first collectable 10 mL of the sperm-rich fraction (SRF) of the boar ejaculate (portion 1, P1) have higher documented viability during and after cryopreservation than spermatozoa in the rest of the ejaculate (portion 2, P2), probably in relation to different features of the surrounding seminal plasma (SP). In the present study, we investigated whether the SP from these ejaculate portions (SP1 or SP2) was able to differently influence sperm viability and chromatin structure of the P1- or P2-contained spermatozoa from individual boars primarily or secondarily exposed (e.g., following cleansing and re-exposure) to pooled SP1 or SP2 from the same males during 60 min. Spermatozoa were subjected to controlled cooling and thawing in MiniFlatPacks (MFPs) and examined for motility (using computer-assisted sperm analysis, CASA) at selected stages of processing. Moreover, sperm plasma membrane intactness (investigated using SYBR-14/propidium iodide, PI), plasma membrane architecture (examined using Annexin-V-PI staining), and chromatin (deoxyribonucleic acid, DNA) integrity (tested using sperm chromatin structure assay, SCSA) were assessed post-thaw (PT). A higher proportion of P1 spermatozoa than of P2 spermatozoa incubated in their native SP portion were confirmed to be motile from collection to PT. When P1 spermatozoa were cleansed from their original SP and re-exposed to pooled P2-SP, sperm kinematics deteriorated from extension to PT. By contrast, cleansed P2 spermatozoa increased motility to P1 levels, especially PT when re-exposed to pooled P1-SP. Such differential effects on motility were not clearly accompanied by biologically related modifications of sperm membrane or chromatin structure. This influence of the SP on sperm kinematics was not sire-dependent and it was presumably related to different concentrations or either SP proteins or bicarbonate in the different ejaculate portions.     

Predicting muscle forces in gait from EMG signals and musculotendon kinematics

An EMG-driven muscle model for determining muscle force-time histories during gait is presented. The model, based on Hill's equation (1938), incorporates morphological data and accounts for changes in musculotendon length, velocity, and the level of muscle excitation for both concentric and eccentric contractions. Musculotendon kinematics were calculated using three-dimensional cinematography with a model of the musculoskeletal system. Muscle force-length-EMG relations were established from slow isokinetic calibrations. Walking muscle force-time histories were determined for two subjects. Joint moments calculated from the predicted muscle forces were compared with moments calculated using a linked segment, inverse dynamics approach. Moment curve correlations ranged from r = 0.72 to R = 0.97 and the root mean square (RMS) differences were from 10 to 20 Nm. Expressed as a relative RMS, the moment differences ranged from a low of 23% at the ankle to a high of 72% at the hip. No single reason for the differences between the two moment curves could be identified. Possible explanations discussed include the linear EMG-to-force assumption and how well the EMG-to-force calibration represented excitation for the whole muscle during gait, assumptions incorporated in the muscle modeling procedure, and errors inherent in validating joint moments predicted from the model to moments calculated using linked segment, inverse dynamics. The closeness with which the joint moment curves matched in the present study supports using the modeling approach proposed to determine muscle forces in gait.     

Flexibility and Repeatability of Finger Movements During Typing: Analysis of Multiple Degrees of Freedom

The kinematics of the hand and fingers were studied during various keystrokes in typing. These movements were defined by 17 degrees of freedom of motion, and methods were developed to identify simplifying strategies inthe execution of the task. Most of the analysis was restrictedto the 11 degrees of freedom of the fingers, neglecting thumband wrist motion. Temporal characteristics of the motion weredefined by computing principal components, and it was found thatonly a few (two to four) principal components were needed tocharacterize motion of each of the degrees of freedom.Hierarchical relationships among patterns within and betweendifferent degrees of freedom were identified using clusteranalysis. There was a considerable amount of consistency eachtime a given keystroke was executed by a subject, and thisrepeatability may imply a reduction in the number of degrees offreedom independently controlled by the nervous system. However,there also appears to be considerable flexibility in thecoordination of the many joints of the hand when examined acrossdifferent keys and across different subjects.