PCG Signal segmentation using Shannon energy

PCG Signal Segmentation Project - Freelancer.com

Project Overview:
I am looking for a skilled freelancer to assist me in segmenting an heart sounds audio signal using Shannon energy into heart beat cycle segments and save them as wave files.
first apply Butterworth passband
1- heart sound signal using Shannon energy directly and save as wav file
2- Each PCG recording was decomposed into four frequency bands (i.e. 25-45, 45-80, 80-200, and 200-400 Hz) and then apply the (1) segmented to different cardiac cycles using PCG segmentation using Shannon energy the 1 and save each segment as wav files.

Requirements:
- Expertise in audio signal processing and segmentation techniques
- In-depth understanding of Shannon energy and its application in signal segmentation
- Proficiency in relevant programming languages and tools (e.g., MATLAB, Python, etc.)
- Strong analytical and problem-solving skills
- Ability to work independently and efficiently to meet project deadlines

Deliverables:
- Segmented audio signal with high accuracy
- Documentation of the segmentation process and methodology used

Ideal Freelancer:
The ideal freelancer for this project would have experience in audio signal processing, specifically in segmenting audio signals using Shannon energy. They should have a proven track record of achieving high accuracy in their segmentation projects. Strong programming skills and a solid understanding of signal processing concepts are a must.

If you believe you have the necessary skills and experience for this project, please submit your proposal along with relevant samples of your previous work. I look forward to collaborating with a talented freelancer to successfully segment the PCG signal using Shannon energy with high accuracy.