Health Monitoring
Health Monitoring - Related Videos
07:02
Investigating the Potential of Singly Curved Thin Piezoelectric Transducers for Energy Harvesting and Structural Health Monitoring
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2025
Here, we experimentally compare singly curved and straight piezoelectric transducers embedded in reinforced concrete structures for energy harvesting and structural health monitoring by evaluating their open-circuit voltage, power generation, power storage, and damage detection capability. Curved transducers have surpassed the straight ones, offering better performance for real-world applications.
06:58
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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Cited by 3 •
2022
The present protocol introduces a non-commercial self-developed application for collecting real-time on-site data, including psychological scales, GPS location, heart rate, and blood-oxygen saturation level, as well as the application's operating procedures. An empirical study conducted in Taiwan in 2020 was used as an application example.
15:00
Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
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Cited by 6 •
2023
Commercial smartwatches equipped with wearable sensors are increasingly being used in population studies. However, their utility is often constrained by their limited battery duration, memory capacity, and data quality. This report provides examples of cost-effective solutions to real-life technical challenges encountered during studies involving asthmatic children and elderly cardiac patients.
02:05
Self-Presentation: Self-Monitoring and Self-Handicapping
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2020
People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about the way you...
08:45
LDL Cholesterol Uptake Assay Using Live Cell Imaging Analysis with Cell Health Monitoring
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Cited by 13 •
2018
This protocol provides an efficient approach to measuring LDL cholesterol uptake with real time influx rates using a live cell imaging system in various cell types. This technique provides a platform to screen the pharmacological activity of compounds affecting LDL influx while monitoring for cell morphology and hence potential cytotoxicity.
FAQs
Baseline values provide a reference for interpreting later measurements from the same organism or study system. A change becomes meaningful when it differs from that reference rather than merely fluctuating around an unknown level. Comparing current results with baseline can help identify deviations associated with stress, disease, recovery, or responses to experimental conditions.
Repeated measurement reveals trends that a single observation may miss. Tracking indicators over time can show whether a biological change is persistent, worsening, or returning toward an earlier condition. This longitudinal perspective supports interpretation of recovery and chronic conditions, and it helps researchers relate physiological changes to environmental or experimental exposure.
These tools provide complementary ways to examine biological condition. Biosensors can measure selected biological indicators, imaging can document structural or visible changes, and physiological measurements can capture functional responses. Combining observations or samples with these measurements allows assessment to draw on multiple types of evidence instead of relying on one indicator alone.
A basic workflow begins by selecting relevant biological indicators and establishing baseline values. Researchers then collect observations, samples, or measurements with an appropriate tool, repeat the assessment at defined points, and compare results across time. Interpreting deviations and patterns can help determine whether the organism shows stress, disease-related change, recovery, or an experimental response.
Health Monitoring is useful when condition must be followed rather than assessed only once. Clinical and veterinary teams can use it to support assessment and chronic-condition management, while biologists can track responses to environmental or experimental conditions. The same approach also supports early detection when changes in indicators appear before a broader pattern becomes obvious.
The results can indicate departures from an organism’s expected condition and show how those departures develop over time. Depending on the indicators measured, the pattern may be consistent with stress, disease, recovery, or a response to an environmental or experimental condition. Interpretation depends on comparison with baseline values and the sequence of measurements.