BISPL-Biomedical Instrumentation and Signal Processing Lab

Alhamdulillah! Two conference papers have been accepted at the 2025 5th International Conference on Robotics, Automation, and Artificial Intelligence (RAAI 2025) to be held on 18-20 Dec, 2025 in Singapore. Congratulations to all the coauthors involved.

Alhamdulillah. Another EEE400 FYDP outcome has been published in IEEE QPAIN 2025 Conference and is now available online in the IEEE Xplore Digital Library.

Paper Title: Fetal Heart Rate Extraction from a Noisy Maternal-Fetal Heart Sound Using EMD and Wavelet Transform

Authored by: Tasfia Hasan Faiza; Muhammad Sajid Hossain; Samara Islam; Nazmus Sakib; Tasnuva Faruk; Md. Kafiul Islam

Conference: 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)

Conference Location: Rangpur, Bangladesh

DOI: 10.1109/QPAIN66474.2025.11172077

https://ieeexplore.ieee.org/document/11172077

Alhamdulillah. We have a new article titled "Raw Fetal PCG Dataset Contaminated with Mother’s PCG" published in Data in Brief of Elsevier. If you are interested, you can download the open-access article from the following link.
https://www.sciencedirect.com/science/article/pii/S2352340925008285
The PCG dataset can also be openly accessed through https://data.mendeley.com/datasets/k5z7hf6vbb/1

This is an outcome of EEE400: Final Year Design Project by Tasfia Hasan Faiza, Muhammad Sajid Hossain, Samara Islam, who are co-mentored by BISPL-Biomedical Instrumentation and Signal Processing Lab Senior Member Mr. Nazmus Sakib and Lab Co-head Dr. Tasnuva Faruk.

We have uploaded an Open-source Dataset on Mendeley Data website titled "Raw Fetal PCG Contaminated With Mother’s PCG", which was recorded by FYDP students during their project work with the BISPL-Biomedical Instrumentation and Signal Processing Lab. Interested researchers are invited to download and test their signal processing and ML/DL algorithms on the dataset, sharing their feedback with us.

Download link: https://data.mendeley.com/datasets/k5z7hf6vbb/1

Citation: Hasan Faiza, Tasfia; Hossain, Muhammad Sajid ; Islam , Samara ; Sakib , Nazmus ; Faruk , Tasnuva ; Islam , Md Kafiul (2025), “Raw Fetal PCG Contaminated With Mother’s PCG”, Mendeley Data, V1, doi: 10.17632/k5z7hf6vbb.1

Data Description: Eight patients consented in the participation of the recording for the fetus PCG. Most of the patients were 36+ weeks pregnant except one patient with a pregnancy of 32+ weeks. The hardware used to record fetal PCG is non-invasive with the infrastructure of a stethoscope attached to the microphone. Doppler and pulse oximeter along with the hardware were used simultaneously to record fetal and mother PCG. The sampling rate of the PCG is 44100 Hz. The doppler and pulse oximeter are the standard device used to record the fetus heart rate and mother’s heart rate in beats per minute (bpm). In contrast, the PCG signals acquired acoustic fetal heart sound traces. Each patient was in laying position while the experiment was carried out. The recordings were taken in three and two sessions per patient in two batches. The first batch consists of 3 patients with 2 sessions per minute. And the second batch includes 5 patients with 3 sessions per minute. The naming of the files is done accordingly such that B1_P1_S1 represents Batch 1’s patient 1 during session 1. And B2_P2_S2 indicates Batch 2’s patient 2 during session 2. Each session lasted for 1 minute with a gap of 10 seconds per session for both batches. The hardware was assembled under the Biomedical Instrumentation and Signal Processing Laboratory (BISPL) at Independent University, Bangladesh. The fetal and maternal PCG data were recorded in Urban Maternity Center, Dhaka North City Corporation, Bangladesh.

What Happens in Your Brain When You Sleep?

Sleep isn’t just about resting—it’s a time when your brain works in amazing ways! Every night, your brain changes and creates dreams, which can affect how you think, feel, and live during the day. For biomedical engineers, this is a big deal because it helps us build better tools to study sleep and improve it.

Here’s how we can use this knowledge:
Better Brain Tests: Improve tools like EEGs to understand sleep and dreams.
Smart Sleep Gadgets: Create devices to help people sleep better.
Computer Models: Use tech to study how the brain works during dreams.

This video explains how sleep and dreams work and why they matter.
👉 Watch here: https://youtu.be/wysnmEyoyB0?si=m4LTypwUD1Lk07CD