Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reliability and Validity01:29

Reliability and Validity

13.9K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.9K
Machines01:19

Machines

579
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
579
Machines: Problem Solving II01:30

Machines: Problem Solving II

668
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
668
Machines: Problem Solving I01:22

Machines: Problem Solving I

714
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
714
Rate-Determining Steps03:08

Rate-Determining Steps

37.2K
Relating Reaction Mechanisms
In a multistep reaction mechanism, one of the elementary steps progresses significantly slower than the others. This slowest step is called the rate-limiting step (or rate-determining step). A reaction cannot proceed faster than its slowest step, and hence, the rate-determining step limits the overall reaction rate.
The concept of rate-determining step can be understood from the analogy of a 4-lane freeway with a short-stretch of traffic-bottleneck caused due to...
37.2K
Data Validation01:15

Data Validation

1.8K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
1.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Passive heart-rate monitoring during smartphone use in everyday life.

Nature·2026
Same author

An AI system to help scientists write expert-level empirical software.

Nature·2026
Same author

Sleep pattern clusters, physical function and fall risk: geriatric syndromes among older ambulatory women.

The journals of gerontology. Series A, Biological sciences and medical sciences·2026
Same author

Insulin resistance prediction from wearables and routine blood biomarkers.

Nature·2026
Same author

A scalable framework for evaluating health language models.

NPJ digital medicine·2026
Same author

Evaluating the performance and acceptability of an artificial intelligence digital health exercise platform in females with and without axial spondyloarthritis: a phase I study.

Advances in rheumatology (London, England)·2026

Related Experiment Video

Updated: Feb 2, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K

SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning.

Varun Viswanath, Jake Garrison, Shwetak Patel

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
    PubMed
    Summary

    Smartphone spirometry offers accessible lung function testing. New AI models accurately detect invalid efforts, ensuring reliable results for this emerging technology.

    More Related Videos

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning
    04:04

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning

    Published on: July 22, 2025

    1.0K
    Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
    07:13

    Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

    Published on: April 18, 2025

    737

    Related Experiment Videos

    Last Updated: Feb 2, 2026

    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    2.5K
    Asthma Detection Research Based on Voice Signal Processing and Machine Learning
    04:04

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning

    Published on: July 22, 2025

    1.0K
    Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
    07:13

    Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

    Published on: April 18, 2025

    737

    Area of Science:

    • Digital Health
    • Biomedical Engineering
    • Artificial Intelligence in Medicine

    Background:

    • Smartphone spirometry utilizes phone microphones for lung function measurement, promising increased accessibility and cost-effectiveness.
    • Unlike traditional spirometry, smartphone-based methods lack expert guidance, making them vulnerable to inaccurate or invalid patient efforts due to environmental noise or poor technique.

    Purpose of the Study:

    • To develop and evaluate computational approaches for assessing the quality of smartphone spirometry efforts.
    • To address the challenge of invalid spirometry readings in unsupervised, mobile health applications.

    Main Methods:

    • A gradient boosting model was trained using expert-defined audio features to identify invalid spirometry efforts.
    • A Gated-Convolutional Recurrent Neural Network was employed, utilizing Mel-spectrograms to automatically learn patterns indicative of effort quality.

    Main Results:

    • The gradient boosting model achieved 98.2% precision and 86.6% recall in detecting invalid efforts.
    • The Gated-Convolutional Recurrent Neural Network demonstrated superior performance with 98.3% precision and 88.0% recall.

    Conclusions:

    • Both developed AI models show high efficacy in distinguishing valid from invalid smartphone spirometry efforts.
    • These quality estimation methods are crucial for the reliable deployment of smartphone spirometry in real-world, unsupervised settings.