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

Doppler Effect - II01:05

Doppler Effect - II

5.2K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
5.2K
Doppler Effect - I00:56

Doppler Effect - I

7.1K
The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
7.1K
Discrete Fourier Transform01:15

Discrete Fourier Transform

1.2K
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
1.2K
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

3.1K
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
3.1K
Propagation of Waves01:07

Propagation of Waves

3.4K
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
3.4K
Basic signals of Fourier Transform01:07

Basic signals of Fourier Transform

1.3K
The Fourier Transform is a pivotal mathematical tool in signal processing, enabling the transformation of time-domain signals into their frequency-domain representations. Among the numerous elements within this domain, certain functions like the sinc function, delta function, and exponential signals hold significant importance due to their unique properties and implications.
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Heartbeat Detection from Ballistocardiogram Signals Using a Transformer Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Integrating Multi-sensor Time-series Data for ALSFRS-R Clinical Scale Predictions in an ALS Patient Case Study.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2025
Same author

Solution to Improve State Health Outcomes and Access to Care for Medicare Beneficiaries: Full Practice of APRNs.

Journal of the American Medical Directors Association·2025
Same author

Emerging Models of Care Using IT in Long-Term/Post-Acute Care: A Comparative Analysis of Human and AI-Driven Qualitative Insights.

Journal of gerontological nursing·2025
Same author

Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility Study.

JMIR research protocols·2025
Same author

Feasibility and Acceptability of a Technology-Mediated Fall Risk Prevention Intervention for Older Adults With Mild Cognitive Impairment.

The journals of gerontology. Series A, Biological sciences and medical sciences·2025
Same journal

Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

IEEE transactions on bio-medical engineering·2026
Same journal

Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

IEEE transactions on bio-medical engineering·2026
Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026
Same journal

Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

IEEE transactions on bio-medical engineering·2026
Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026
See all related articles

Related Experiment Video

Updated: Apr 21, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.3K

Doppler radar fall activity detection using the wavelet transform.

Bo Yu Su, K C Ho, Marilyn J Rantz

    IEEE Transactions on Bio-Medical Engineering
    |November 7, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces Wavelet Transform (WT) for radar-based human fall detection. WT effectively distinguishes falls from other movements, offering a promising solution for nonobtrusive elder care monitoring.

    More Related Videos

    Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
    07:14

    Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

    Published on: May 1, 2018

    8.3K
    Ultrasound-based Pulse Wave Velocity Evaluation in Mice
    08:07

    Ultrasound-based Pulse Wave Velocity Evaluation in Mice

    Published on: February 14, 2017

    14.8K

    Related Experiment Videos

    Last Updated: Apr 21, 2026

    Design and Analysis for Fall Detection System Simplification
    08:05

    Design and Analysis for Fall Detection System Simplification

    Published on: April 6, 2020

    11.3K
    Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
    07:14

    Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

    Published on: May 1, 2018

    8.3K
    Ultrasound-based Pulse Wave Velocity Evaluation in Mice
    08:07

    Ultrasound-based Pulse Wave Velocity Evaluation in Mice

    Published on: February 14, 2017

    14.8K

    Area of Science:

    • Signal Processing
    • Biomedical Engineering
    • Gerontology

    Background:

    • Falls are a significant risk for elderly individuals, necessitating reliable monitoring systems.
    • Current fall detection methods often lack unobtrusiveness or accuracy in real-world settings.
    • Doppler radar offers a non-contact sensing method for detecting human motion.

    Purpose of the Study:

    • To propose and evaluate a novel human fall detection system using Wavelet Transform (WT) and Doppler radar.
    • To assess the effectiveness of WT in distinguishing fall events from other human activities.
    • To develop a robust and nonobtrusive fall detection solution for in-home elder care.

    Main Methods:

    • Utilized a ceiling-mounted Doppler radar to capture motion data.
    • Applied Wavelet Transform (WT) for signal decomposition and feature extraction.
    • Implemented a two-stage detection process: prescreening and classification using wavelet coefficients.
    • Investigated the impact of different wavelet functions on performance.

    Main Results:

    • The proposed WT-based radar system demonstrated high effectiveness in distinguishing falls from non-fall activities.
    • Experimental results from laboratory and in-home environments validated the system's robust performance.
    • The time-frequency analysis derived from wavelet coefficients proved crucial for accurate classification.

    Conclusions:

    • Wavelet Transform is a highly effective technique for radar-based human fall detection.
    • The proposed system offers a promising, nonobtrusive solution for elder care applications.
    • The radar fall detector shows robust performance in diverse environments, paving the way for improved elderly safety.