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

929
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...
929
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

289
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...
289
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.4K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Reducing Lower Extremity Amputations via Peer Support Interventions: A Scoping Review.

Journal of the American Podiatric Medical Association·2026
Same author

Responsible AI for Personalized Patient Education and Engagement Across Medical Conditions: Leveraging Multi-Agent LLMs, Ambient Technology, and NotebookLM-A Case Study in Diabetes Education and Limb Preservation.

Journal of the American Podiatric Medical Association·2026
Same author

Topical Oxygen Therapy for Diabetic Foot Ulcers: Updated Evidence From Randomised Trials.

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society·2026
Same author

AI-Based Markerless Computer Vision Framework for Open Surgery Skill Assessment: A Prototype Assessment Framework.

Surgical innovation·2026
Same author

AI-Guided Remission: Protocol for a Conversational Agent (Chatbot) for Dosing Activity and Footwear Progression After Diabetic Limb Reconstruction.

Sensors (Basel, Switzerland)·2026
Same author

AI-Generated Exercise Prescriptions for At-Risk Populations: Safety and Feasibility of a Large Language Model Assessed by Expert Evaluation.

Journal of clinical medicine·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 13, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.7K

SmartBoot: Real-Time Monitoring of Patient Activity via Remote Edge Computing Technologies.

Gozde Cay1,2, Myeounggon Lee1,3,4, David G Armstrong5

  • 1Digital Health and Access Center (DiHAC), Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
Summary
This summary is machine-generated.

The SmartBoot system accurately monitors adherence to diabetic foot ulcer offloading devices using wearable sensors. This technology shows high accuracy and user acceptance, offering a scalable solution for remote patient monitoring.

Keywords:
adherencediabetic foot ulcerdigital healthedge computingoffloadingpersonalized careremote patient monitoringsmart footweartelemedicinewearableswound care

More Related Videos

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.4K
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.5K

Related Experiment Videos

Last Updated: Sep 13, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.7K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.4K
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.5K

Area of Science:

  • Biomedical Engineering
  • Digital Health
  • Diabetes Management

Background:

  • Diabetic foot ulcers (DFUs) present a significant clinical challenge with high recurrence and amputation rates.
  • Effective management of DFUs necessitates strict adherence to offloading devices, which is poorly monitored in real-world settings.
  • Current monitoring methods for offloading device adherence lack real-time data and scalability.

Purpose of the Study:

  • To evaluate the SmartBoot edge-computing system for its validity in quantifying cadence and step count as digital biomarkers.
  • To assess the SmartBoot system's accuracy in detecting adherence to offloading devices for diabetic foot ulcer management.
  • To determine user acceptance and perceived usability of the SmartBoot system among healthy individuals and DFU patients.

Main Methods:

  • The SmartBoot system, integrating an inertial measurement unit (Sensoria Core) and smartwatch, was tested in 12 healthy adults wearing two types of removable offloading boots.
  • System outputs for cadence and step count were validated against a gold-standard wearable device.
  • Adherence detection accuracy was compared with staff-recorded logs, and user experience was assessed using the Technology Acceptance Model (TAM) in 12 healthy participants and 81 DFU patients.

Main Results:

  • The SmartBoot system demonstrated high accuracy in measuring cadence and step count (bias < 5.5%) across various walking speeds.
  • Adherence detection accuracy reached 96% for Össur boots and 97% for Foot Defender boots.
  • Technology Acceptance Model (TAM) results indicated strong user acceptance and perceived ease of use in both healthy participants and DFU patients.

Conclusions:

  • The SmartBoot system is a valid and accurate tool for quantifying mobility metrics and detecting adherence to offloading devices in DFU management.
  • The system exhibits high accuracy and strong user acceptance, suggesting its potential as a scalable solution for remote monitoring.
  • Further clinical validation in ongoing studies with DFU patients is recommended to confirm its real-world efficacy.