Multiple Data Channels
Multiple Data Channels - Related Videos
10:46
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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Cited by 2 •
2015
Combining plot analysis with trigonometric regression is a robust method for exploring complex, cyclical phenomena such as relapse onset timing in multiple sclerosis (MS). This method enabled unbiased characterisation of seasonal trends in relapse onset permitting novel inferences around the influence of seasonal variation, ultraviolet radiation (UVR) and latitude.
08:48
Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics
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Cited by 1 •
2016
The use of transcranial magnetic stimulation (TMS) to study human motor control requires the integration of data acquisition systems to control TMS delivery and simultaneously record human behavior. The present manuscript provides a detailed methodology for integrating data acquisition systems for the purpose of investigating human movement via TMS.
01:19
Ion Channels
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2019
The movement of ions like sodium, potassium, and calcium into and out of the cell is essential to maintain the electrochemical gradient in living cells. The ion channels—a class of membrane transport proteins—help maintain this ionic gradient for the smooth functioning of physiological activities such as maintaining cell size and volume, conducting nerve impulses, and gas and nutrient exchange. Ion channels are specialized integral membrane proteins on the plasma membrane that allow specific...
10:45
A Faster, High Resolution, mtPA-GFP-based Mitochondrial Fusion Assay Acquiring Kinetic Data of Multiple Cells in Parallel Using Confocal Microscopy
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Cited by 20 •
2012
Mitochondrial fusion was measured by tracking the equilibration of photoconverted matrix-targeted GFP across the mitochondrial network over time. Thus far, only one cell could be subjected to an hour long kinetic analysis at a time. We present a method that simultaneously measures multiple cells, thereby speeding up the data collection process.
11:35
The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool
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Cited by 106 •
2014
Precise measurement of neurological and neuropsychological impairment and disability in multiple sclerosis is challenging. We report methodologic details on a new test, the Multiple Sclerosis Performance Test (MSPT). This new approach to the objective of quantification of MS related disability provides a computer-based platform for precise, valid measurement of MS severity.
FAQs
Synchronized sampling makes measurements from different channels comparable because they represent the system under similar conditions. Without temporal alignment, a change in temperature, humidity, air quality, water chemistry, imagery, or biological observations could reflect different sampling moments rather than a meaningful relationship. This coordination helps researchers identify patterns and responses that develop over time.
Standardized calibration helps ensure that differences among channels reflect environmental variation rather than inconsistent measurement scales or instrument behavior. When temperature, chemical, imagery, or biological data are collected under comparable standards, researchers can integrate them more confidently. Calibration therefore strengthens comparisons, supports clearer interpretation, and reduces the risk of treating technical inconsistencies as environmental signals.
Data fusion combines information from several channels to reveal relationships that may remain hidden in an individual measurement. For example, physical conditions can be interpreted alongside chemical and biological responses, allowing researchers to connect environmental changes with their effects. This integrated view can improve monitoring, anomaly detection, and interpretation of complex environmental patterns.
A practical workflow begins by selecting channels that represent relevant physical, chemical, biological, or visual conditions. Researchers then coordinate sampling, apply standardized calibration, and organize the streams so they can be compared or integrated. The combined data can subsequently be examined for relationships, temporal patterns, or unusual conditions, depending on the environmental question.
Researchers would choose multiple channels when a single measurement cannot adequately represent the environmental process under study. Pollution tracking, ecosystem studies, environmental assessment, and climate research may require links among physical conditions, chemical changes, imagery, and biological responses. Combining these perspectives supports broader interpretation and can expose interactions or patterns that one channel alone might miss.
In pollution tracking, linked channels can relate air or water conditions to chemical measurements and observed biological responses. In ecosystem studies, physical conditions can be examined alongside imagery or biological observations to identify changing relationships over time. These connections provide a more informative basis for environmental assessment than isolated measurements, particularly when responses span several types of data.