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Table 1 Peer work review

From: Secured ECG signal transmission for human emotional stress classification in wireless body area networks

Time

Researcher

Pros

Cons

Sep. 2009

Fen Miao, Lei Jiang, Ye Li, and Yuan-Ting Zhang [6]

The biometric information-based key sets have higher security than the regular key. The encryption method is computational-friendly, as well as energy efficient.

Additional frequency transform can be saved with our scheme.

Dec. 2003

Hero, A.O. [2]

Using MIMO in wireless communication network, with space coding to constraint low interpret and low detection probability, communication security is improved.

Lack of an encryption method for transmitted signal, in their work, only protection of communication channels was considered.

Dec. 2012

Kun Hua [1]

A cooperative cellular network module based on Alamouti for multimedia communication was built in their work, and the BER performance was improved.

Do not have an encryption method; this module was built based on multimedia communication, which is 2D signal such as images, not for biomedical signal.

Aug. 2012

Karthikeyan Palanisamy [3]

Using Stroop color test for inducing stress, using ST for identifying stress levels. Improved classification accuracy.

Not applicable for on-body real-time stress monitoring system.

Nov. 2011

P. Karthikeyan [5]

Using real-time stress prediction and identification system over WBSN, and improved classification accuracy.

Do not considered security performance during signal transmission.

Oct. 2012

P. Karthikeyan [7]

Using DWT for decomposition and feature extraction

Do not apply in an application for further test; the classification rate is not promised

July. 2012

Kun Zhao [12]

Physically analyzed the position and placement of antenna contribution to improvement of communication performance.

Only analyzed the physical antenna placement, lack of channel protection for improvement the performance.