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

Pulse rhythm01:30

Pulse rhythm

750
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...
750
Special considerations while measuring oxygen saturation01:19

Special considerations while measuring oxygen saturation

527
Assessing respiratory rate concurrently with pulse measurement is fundamental to patient care, providing valuable insights into the patient's respiratory function. The normal breathing rate for an adult usually falls within a normal range of 12 to 20 breaths per minute. Abnormal respiratory rates can signal underlying health conditions or the need for immediate intervention.
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is...
527
Assessment of Ventilation I: Respiratory Rate01:20

Assessment of Ventilation I: Respiratory Rate

981
Assessment of Ventilation
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
981
Sleep-Wake Cycles01:24

Sleep-Wake Cycles

1.2K
Sleep is an essential physiological process vital to maintaining overall well-being. The reticular activating system (RAS), a network of neurons in the brainstem, regulates wakefulness and sleep. While it may seem passive, sleep consists of distinct cycles, each with its unique characteristics and functions. Two key sleep phases are non-rapid eye movement (NREM) and  rapid eye movement (REM).
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
1.2K
Decreased pulse rate01:14

Decreased pulse rate

529
Bradycardia is a medical condition in which the heart rate is slower than normal. It occurs when the heart's natural pacemaker, the sinus node, generates slower electrical impulses than the standard rhythm. In adults, bradycardia is diagnosed when the pulse rate falls below 60 beats per minute, indicating a deviation from the normal heart rate range.
There are specific risk factors that can elevate the likelihood of developing bradycardia. Advanced age is a significant factor, with...
529
Pulse01:16

Pulse

412
When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical...
412

You might also read

Related Articles

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

Sort by
Same author

Continuous Heart Rate Variability Estimation From PPG via State-Space Modeling.

IEEE transactions on bio-medical engineering·2026
Same author

Smartwatch-based detection of loss of pulse.

PloS one·2026
Same author

Assessing the Role of the Autonomic Nervous System as a Driver of Sleep Quality in Patients With Multiple Sclerosis: Observation Study.

JMIR neurotechnology·2025
Same author

Beyond the hours slept: inconsistent sleep routines threaten mental health in 100,000 UK Biobank participants.

BMC public health·2025
Same author

Temporal Cardiovascular Dynamics for Improved PPG-Based Heart Rate Estimation.

IEEE journal of biomedical and health informatics·2025
Same author

Beyond Subjectivity: Continuous Cybersickness Detection Using EEG-based Multitaper Spectrum Estimation.

IEEE transactions on visualization and computer graphics·2025

Related Experiment Video

Updated: May 24, 2025

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

346

Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During Sleep.

Max Moebus, Lars Hauptmann, Nicolas Kopp

    IEEE Journal of Biomedical and Health Informatics
    |March 3, 2025
    PubMed
    Summary

    Researchers developed a new method to estimate heart rate (HR) using only motion sensor data from wearables. This IMU-only approach achieves medical-grade accuracy, enabling HR tracking in studies lacking optical sensors.

    More Related Videos

    Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
    10:56

    Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

    Published on: August 2, 2017

    9.9K
    A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
    07:24

    A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

    Published on: April 21, 2017

    12.3K

    Related Experiment Videos

    Last Updated: May 24, 2025

    Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
    05:51

    Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

    Published on: February 21, 2025

    346
    Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
    10:56

    Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

    Published on: August 2, 2017

    9.9K
    A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
    07:24

    A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

    Published on: April 21, 2017

    12.3K

    Area of Science:

    • Biomedical Engineering
    • Wearable Technology
    • Cardiovascular Monitoring

    Background:

    • Current fitness trackers and smartwatches primarily use optical sensors for heart rate (HR) monitoring.
    • Large-scale studies like the U.K. Biobank utilize activity trackers lacking optical sensors, thus missing crucial HR data.
    • This data gap limits the potential for discovering population-level health trends from existing longitudinal studies.

    Purpose of the Study:

    • To present the first dataset of wrist-worn accelerometer recordings with electrocardiogram (ECG) references in uncontrolled, at-home settings.
    • To investigate the feasibility of Inertial Measurement Unit (IMU)-only heart rate estimation using ballistocardiograms (BCGs).
    • To develop and validate a novel method for extracting HR from IMU data, robust to motion artifacts.

    Main Methods:

    • Collected a dataset of 310 hours of wrist-worn IMU and ECG recordings from 42 participants during nighttime at home.
    • Introduced a novel frequency-based method employing curve tracing to extract HR from IMU signals.
    • Developed artifact rejection techniques to improve the accuracy of IMU-based HR estimation.

    Main Results:

    • The proposed IMU-only method achieved a mean absolute error (MAE) of 0.88 bpm for HR estimation.
    • This represents a 76% improvement compared to previous IMU-based approaches.
    • The method successfully surpassed established medical standards for heart rate monitors.

    Conclusions:

    • IMU-only HR estimation using ballistocardiography is a viable and accurate method for cardiac activity monitoring.
    • This technology can be integrated into existing longitudinal studies that utilize activity trackers without optical sensors.
    • The findings highlight the potential for discovering novel health insights from previously untapped HR data in large populations.