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Related Concept Videos

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This number is...
Prismatic Beams: Problem Solving01:15

Prismatic Beams: Problem Solving

In the design of a supported timber beam subjected to a distributed load, both the beam's physical dimensions and the timber's characteristics, such as its grade and species, are critical. These factors determine the allowable stress values, which are crucial for calculating the necessary beam depth to ensure structural integrity and safety.
The design begins with analyzing the beam as a free body to identify moments and force balances, thereby determining support reactions. Next, the designer...
Phase Diagram01:19

Phase Diagram

The phase of a given substance depends on the pressure and temperature. Thus, plots of pressure versus temperature showing the phase in each region provide considerable insights into the thermal properties of substances. Such plots are known as phase diagrams. For instance, in the phase diagram for water (Figure 1), the solid curve boundaries between the phases indicate phase transitions (i.e., temperatures and pressures at which the phases coexist).
Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the test...
Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...

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Related Experiment Video

Updated: May 8, 2026

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research
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Project threshold.

H M Pendleton1, N J Somerville, G K Magdalena

  • 1Co-Director, Project Threshold, Professional Staff Association, Rancho Los Amigos Hospital, Downey, CA.

Occupational Therapy in Health Care
|August 20, 2013
PubMed
Summary

Project Threshold offers rehabilitation engineering services for individuals with physical disabilities. An interdisciplinary team, including occupational therapists, ensures successful functional problem-solving at home and work.

Area of Science:

  • Rehabilitation Engineering
  • Occupational Therapy
  • Disability Studies

Background:

  • Traditional services often fail to meet the needs of individuals with physical disabilities.
  • Project Threshold was established to provide specialized rehabilitation engineering services.
  • An interdisciplinary approach was recognized as essential for comprehensive care.

Purpose of the Study:

  • To describe the interdisciplinary approach of Project Threshold.
  • To highlight the role of occupational therapists in functional problem-solving.
  • To illustrate the service delivery process through case studies.

Main Methods:

  • Utilized an interdisciplinary team including occupational therapists.
  • Employed a thorough and sequential service delivery process.

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  • Conducted independent living and worksite assessments.

    • Main Results:

    • Demonstrated successful functional problem-solving for individuals with physical disabilities.
    • Highlighted the effectiveness of occupational therapists in functional assessments and interventions.
    • Showcased the application of the service delivery process in real-world scenarios.

    Conclusions:

    • Project Threshold's interdisciplinary model effectively addresses functional challenges for people with physical disabilities.
    • Occupational therapists play a crucial role in enhancing independence and workability.
    • A structured service delivery process is key to successful rehabilitation outcomes.