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 Experiment Videos

Improving accelerometer-based rate adaptive pacing by means of second-generation signal processing

M Schmidt1, R Ammer, F Evans

  • 1I. Medizinische Klinik, Klinikum rechts der Isar, Technische Universität München, FRG.

Pacing and Clinical Electrophysiology : PACE
|November 1, 1996
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Stem Cell Therapy after Acute Myocardial Infarction-The Emperor's New Clothes?: Stem Cell Mobilization by Granulocyte Colony-Stimulating Factor in Patients with Acute Myocardial Infarction: A Randomized Controlled Trial. JAMA 295: 1003-1010, 2006.

Journal of the American Society of Nephrology : JASN·2023
Same author

Weaning from ventilation and extubation of children in critical care.

BJA education·2022
Same author

Extubation of children in the operating theatre.

BJA education·2022
Same author

Integrated fundal assessment pathway for patients with suspected shunt malfunction via digital retinal images.

British journal of neurosurgery·2019
Same author

Circulating serum CK level vs. muscle impairment for in situ monitoring burden of disease in Mdx-mice.

Clinical hemorheology and microcirculation·2016
Same author

Inf lammatory Mass with Fibrinoid Necrosis of Vessels Caused by Methylene Blue Marking of a Colonic Polyp.

Cardiovascular pathology : the official journal of the Society for Cardiovascular Pathology·2015

A new algorithm improves pacemaker rate adaptation by analyzing accelerometer signal morphology, reliably distinguishing uphill and downhill walking for more physiological heart rate control.

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Signal Processing

Background:

  • Accelerometer-based rate adaptive pacing is widely used in pacemakers.
  • Current systems struggle to differentiate between walking upstairs and downstairs.
  • This limitation affects the physiological accuracy of rate adaptation.

Purpose of the Study:

  • To evaluate a novel signal processing algorithm for enhanced pacemaker rate adaptation.
  • To improve the distinction between ascending and descending locomotion.
  • To achieve more physiological heart rate responses during daily activities.

Main Methods:

  • A custom pacemaker with an accelerometer was used in patients, elderly participants, and students.
  • Participants performed walking exercises on level ground, upstairs, and downstairs at various step rates.

Related Experiment Videos

  • Accelerometer signals were analyzed for frequency, acceleration, and morphology characteristics.
  • Main Results:

    • A new algorithm using the quotient of positive and negative acceleration signal durations reliably discriminated between walking upstairs and downstairs.
    • Correcting the Leaky integrator signal with this quotient improved rate adaptation accuracy.
    • Combining amplitude and morphology criteria enhanced physiological rate adaptation.

    Conclusions:

    • The developed algorithm offers a more accurate and physiological rate adaptation for pacemakers.
    • Distinguishing between ascending and descending locomotion is crucial for optimizing pacemaker function.
    • Utilizing signal morphology alongside amplitude provides superior rate control during varied physical activities.