Next Article in Journal
Estimation of Elbow Wall Thinning Using Ensemble-Averaged Mel-Spectrogram with ResNet-like Architecture
Previous Article in Journal
Trust-Based Intelligent Routing Protocol with Q-Learning for Mission-Critical Wireless Sensor Networks
 
 
Article
Peer-Review Record

Unsupervised Clustering of Heartbeat Dynamics Allows for Real Time and Personalized Improvement in Cardiovascular Fitness

Sensors 2022, 22(11), 3974; https://doi.org/10.3390/s22113974
by Cassandra Serantoni 1,2, Giovanna Zimatore 3, Giada Bianchetti 1,2, Alessio Abeltino 1,2, Marco De Spirito 1,2,* and Giuseppe Maulucci 1,2,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Sensors 2022, 22(11), 3974; https://doi.org/10.3390/s22113974
Submission received: 22 April 2022 / Revised: 11 May 2022 / Accepted: 20 May 2022 / Published: 24 May 2022
(This article belongs to the Section Biomedical Sensors)

Round 1

Reviewer 1 Report

In '2.3.1. Clustering analysis algorithm' the authors should describe the algorithm (steps).
In figure 1, what represents the redpoint?
In Figure 2 which graph is b and a? In the second graph what represents the -/+, +/+, +/-, -/-?

Author Response

"Please see the attachment."

Author Response File: Author Response.pdf

Reviewer 2 Report

The title is too long and the contribution is unclear. Please consider improving the way you use to deliver information:

  • Why did you decide to investigate this topic?
  • What is the core contribution of your work?
  • What makes it innovative and worth a journal publication? In other words, what problems did you solve, but the other research teams could not resolve?

The IRB approval seems very questionable. Why could you use a 2017 approval on a 2022 paper submission? It has been over 5 years.

Author Response

"Please see the attachment."

Author Response File: Author Response.pdf

 

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.

Back to TopTop