Open Hardware Implementation of Real-Time Phase and Amplitude Estimation for Neurophysiologic Signals

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The article describes the Real-Time Phase and Amplitude Estimation for Neurophysiologic Signals. The topic is interesting, although there are some issues that need to be addressed:

1) The introduction is poor and have to be extended about literature review. 

2) Authors should provide more details about hardware and benchmark  procedure

3) Discussed about measurement errors should be add

4) Can the authors confirm the validity of the results obtained by comparing them with other typical studies?. 

5) Does authors tried applied FFT procedure to the obtained data? Are results are interesting ?

6) Fig. 2b . The data are overlapped and unreadable. 

 

Author Response

Thank you very much for taking the time to review this manuscript.

Please find in the attached file the detailed responses and the corresponding revisions/corrections highlighted in the re-submitted manuscript file.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

This paper presents an open-hardware implementation that exploits the concepts of resonators and Hilbert filters embedded in an open-hardware platform. Application results show that the system can provide reliable estimation of the phase even in the challenging scenario of dealing with high-frequency oscillations (~250 Hz) in real-time.

 

The method in Section 2 is not described clearly. Some more explanations of Figure 1 should be given.

Author Response

Thank you very much for taking the time to review this manuscript.

Please find in the attached file the detailed responses and the corresponding revisions/corrections highlighted in the re-submitted manuscript file.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

The authors have investigated   different types of neurophysiological signals in real-time using an open hardware implementation .

The English sentences need to be revised and past tense:

 

English corrections:

To emulate real-world scenarios, we built a hardware setup that includes a system to replay and process different types….

 

…We have built

 

After testing our approach in a synthetic data set, ??

to obtain an estimate of the analytical signal …change in estimation

 

we implemented a benchmark setup that in….we have implemented

 

Among them, phase and/or amplitude locked closed-loop stimulation of physiologic signals seems to be a good candidate

 

The obtained results appear not clear . Please to include a diagram or scheme for better comprehension of results

 

The introduction doesn’t include  the use and description of Arduino .Please cite this article :

 

KCIUK, Marek, et al. Intelligent Medical Velostat Pressure Sensor Mat Based on Artificial Neural Network and Arduino Embedded System. Applied System Innovation, 2023, 6.5: 84.

Comments on the Quality of English Language

The English sentences need to be revised and past tense:

 

English corrections:

To emulate real-world scenarios, we built a hardware setup that includes a system to replay and process different types….

 

…We have built

 

After testing our approach in a synthetic data set, ??

to obtain an estimate of the analytical signal …change in estimation

 

we implemented a benchmark setup that in….we have implemented

 

Among them, phase and/or amplitude locked closed-loop stimulation of physiologic signals seems to be a good candidate

 

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Author Response

Thank you very much for taking the time to review this manuscript.

Please find in the attached file the detailed responses and the corresponding revisions/corrections highlighted in the re-submitted manuscript file.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

The authors have adequately addressed my comments and the revised manuscript can be accepted.