Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Pulse rhythm

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...

Holter Monitor: 24-Hour Monitoring

Holter Monitor: 24-Hour Monitoring

Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...

Responses to Gravity and Touch

Responses to Gravity and Touch

Gravitropism: Plant Responses to Gravity

Errors occurring during blood pressure monitoring

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...

Field Application of Global Positioning System

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...

You might also read

Related Articles

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

Sort by

Same author

An Examination of Dynamic Gene Expression Changes in the Mouse Brain During Pregnancy and the Postpartum Period.

G3 (Bethesda, Md.)·2015

Same author

ContextProvider: Context awareness for medical monitoring applications.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2012

Same author

iWander: An Android application for dementia patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2010

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 18, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

iFall: an Android application for fall monitoring and response.

Frank Sposaro¹, Gary Tyson

¹Florida State University, USA. sposaro@cs.fsu.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This study introduces a novel fall detection system using smartphone accelerometers to alert emergency services for elderly individuals living alone. The system adaptively detects falls and notifies contacts, improving response times and patient outcomes.

More Related Videos

Custom Smartphone Application to Guide Locomotor-Respiratory Coupling in the Field Using Step-Adaptive Breathing Sounds

Custom Smartphone Application to Guide Locomotor-Respiratory Coupling in the Field Using Step-Adaptive Breathing Sounds

Published on: September 27, 2024

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Related Experiment Videos

Last Updated: Jun 18, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Custom Smartphone Application to Guide Locomotor-Respiratory Coupling in the Field Using Step-Adaptive Breathing Sounds

Custom Smartphone Application to Guide Locomotor-Respiratory Coupling in the Field Using Step-Adaptive Breathing Sounds

Published on: September 27, 2024

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Area of Science:

Gerontology
Biomedical Engineering
Computer Science

Background:

Falls are a leading cause of hospitalization and mortality in the elderly.
Delayed emergency response in fall incidents significantly worsens patient outcomes.
Existing fall detection systems often require specialized, uncomfortable hardware.

Purpose of the Study:

To develop and evaluate an accessible, cost-effective fall detection and alert system for elderly individuals.
To leverage common mobile technology for improved patient safety and timely medical intervention.
To create an adaptive algorithm that personalizes fall detection based on user biometrics and activity levels.

Main Methods:

Utilized an Android smartphone with an integrated tri-axial accelerometer for data acquisition.
Developed adaptive, threshold-based algorithms incorporating user-specific parameters (height, weight, activity level).
Implemented a multi-stage alert system: user confirmation, social contact notification (SMS), and emergency service dispatch.

Main Results:

The system successfully detects falls using smartphone-based accelerometer data.
Adaptive algorithms allow for personalized fall detection, accommodating unique movement patterns.
The multi-stage alert mechanism ensures efficient and confirmed notification of emergency services.

Conclusions:

The developed system offers a practical and affordable solution for fall detection in the elderly population.
Integration with common mobile devices enhances user acceptance and system accessibility.
This technology has the potential to significantly improve emergency response and patient outcomes following falls.