Evidence map›Paper›PMID 36698919›Full record

ArticleMedical devices (Auckland, N.Z.)2023

Development and Evaluation of Wireless Interfaces to Monitor and Control Cycling Exercise During Home Telerehabilitation.

Aref Smiley, Te-Yi Tsai, Ihor Havrylchuk, Wanting Cui, Irena Parvanova, Elena Zakashansky, Taulant Xhakli, Hu Cui, Joseph Finkelstein

3 registry-linked trialsAbstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07032584 narecruitingnot on this mapstarted 2025, after this paper: background citation

Impact of Multimodal Telerehabilitation on Reducing Disparities in Rural Survivors of Metastatic Prostate Cancer

TypeinterventionalSponsorUniversity of UtahRan2025 to 2029Enrolled74ConditionsProstate Cancer, Metastatic Prostate Cancer, Androgen Deprivation TherapyArmsTelerehabilitation Intervention
NCT07093177 narecruitingnot on this mapstarted 2026, after this paper: background citation

Multimodal Telerehabilitation of Rural Patients With Advanced Prostate Cancer

TypeinterventionalSponsorUniversity of UtahRan2026 to 2028Enrolled30ConditionsProstate CancerArmsTelerehabilitation Unit
NCT07390071 narecruitingnot on this mapstarted 2025, after this paper: background citation

Multimodal Telerehabilitation in Patients Undergoing CAR-T Cell Immunotherapy

TypeinterventionalSponsorUniversity of UtahRan2025 to 2029Enrolled40ConditionsLymphoma, Myeloma, Cytokine Release Syndrome, Immune Effector Cell Associated Neurotoxicity SyndromeArmsHome Automated Telemanagement (HAT) Patient Unit
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Assessing the Barriers and Facilitators to Pulmonary Rehabilitation Referrals Using the Consolidated Framework for Implementation Research (CFIR).AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Aref Smiley *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Te-Yi Tsai *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-9118-3978
Ihor Havrylchuk *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-0061-0840
Wanting Cui *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Irena Parvanova *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-1861-193X
Elena Zakashansky *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-2176-1960
Taulant Xhakli *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hu Cui *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Joseph Finkelstein *Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-8084-7441

Funding

Comprehensive Health Informatics Engagement Framework for Pulmonary RehabR33HL143317 · NHLBI · UNIVERSITY OF UTAH · PI FINKELSTEIN, JOSEPH E, STEIN, JOEL · 2020 to 2022
$2.4M
NHLBI NIH HHS R33 HL143317
6 · The paper itself

Abstract

Purpose: This paper focuses on developing and testing three versions of interactive bike (iBikE) interfaces for remote monitoring and control of cycling exercise sessions to promote upper and lower limb rehabilitation. Methods: Two versions of the system, which consisted of a portable bike and a tablet PC, were designed to communicate through either Bluetooth low energy (BLE) or Wi-Fi interfaces for real-time monitoring of exercise progress by both the users and their clinical team. The third version of the iBikE system consisted of a motorized bike and a tablet PC. It utilized conventional Bluetooth to implement remote control of the motorized bike's speed during an exercise session as well as to provide real-time visualization of the exercise progress. We developed three customized tablet PC apps with similar user interfaces but different communication protocols for all the platforms to provide a graphical representation of exercise progress. The same microcontroller unit (MCU), ESP-32, was used in all the systems. Results: Each system was tested in 1-minute exercise sessions at various speeds. To evaluate the accuracy of the measured data, in addition to reading speed values from the iBikE app, the cycling speed of the bikes was measured continuously using a tachometer. The mean differences of averaged RPMs for both data sets were calculated. The calculated values were 0.38 ± 0.03, 0.25 ± 0.27, and 6.7 ± 3.3 for the BLE system, the Wi-Fi system, and the conventional Bluetooth system, respectively. Conclusion: All interfaces provided sufficient accuracy for use in telerehabilitation.

Indexed as

accuracycycling exercisetelerehabilitationwireless interface

Identifiers

PMID36698919
PMCPMC9869914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.