Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Md. Shafayet Hossain"'
Autor:
Md. Shafayet Hossain, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury, Sawal H. M. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib
Publikováno v:
IEEE Access, Vol 10, Pp 29760-29777 (2022)
Physiological signal measurement and processing are increasingly becoming popular in the ambulatory setting as the hospital-centric treatment is moving towards wearable and ubiquitous monitoring. Most of the physiological signals are highly susceptib
Externí odkaz:
https://doaj.org/article/7a32091949e146048704e40e9562eeb7
Autor:
Md. Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Md. Shafayet Hossain, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Mohammad Monir Uddin, Amith Khandakar, Zaid Bin Mahbub, Sawal Hamid Md. Ali
Publikováno v:
IEEE Access, Vol 9, Pp 96775-96790 (2021)
Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-threatening. Respiration rate (RR) is a vital indicator of the wellness of a patient. Continuous monitoring of RR can provide early
Externí odkaz:
https://doaj.org/article/c14770de344a4f71a0cb31f1270ffd04
Autor:
Md Shafayet Hossain, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib, Muhammad Maqsud Hossain
Publikováno v:
Sensors, Vol 22, Iss 9, p 3169 (2022)
The electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals, highly non-stationary in nature, greatly suffers from motion artifacts while recorded using wearable sensors. Since successful detection of various neurological
Externí odkaz:
https://doaj.org/article/6d301256498649d0ac977de5a089a035
Autor:
Md. Biplob Hossain, Md Shafayet Hossain, S.M. Riazul Islam, Md. Nazmus Sakib, Khondoker Ziaul Islam, Md. Amzad Hossain, Md. Sanwar Hossain, A.S.M. Sanwar Hosen, Gi Hwan Cho
Publikováno v:
Results in Physics, Vol 18, Iss , Pp 103281- (2020)
In this paper, a proper concept of a kind of photonic crystal fiber known as D-shaped PCF sensor based on SPR or Surface Plasmon Resonance phenomenon has been discussed. The analysis has been performed numerically using FEM or Finite Element Method a
Externí odkaz:
https://doaj.org/article/9cc71f47cf914b0b8bfced557d2d42af
Autor:
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md Shafayet Hossain, M. Sohel Rahman, Farayi Musharavati, Mohamed Arselene Ayari, Mohammad Tariqul Islam, Muhammad E. H. Chowdhury
Publikováno v:
Sensors, Vol 22, Iss 3, p 919 (2022)
Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several invasive and non-invasive metho
Externí odkaz:
https://doaj.org/article/018ecfa6eb1b435b932b7840cfe4a3f7
Autor:
Kanchon Kanti Podder, Muhammad E. H. Chowdhury, Anas M. Tahir, Zaid Bin Mahbub, Amith Khandakar, Md Shafayet Hossain, Muhammad Abdul Kadir
Publikováno v:
Sensors, Vol 22, Iss 2, p 574 (2022)
A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging topic in computer vision and
Externí odkaz:
https://doaj.org/article/460e1cb608724eed8b804ee2e26b987f
Autor:
Md Shafayet Hossain, Sakib Mahmud, Amith Khandakar, Nasser Al-Emadi, Farhana Ahmed Chowdhury, Zaid Bin Mahbub, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury
Publikováno v:
Bioengineering; Volume 10; Issue 5; Pages: 579
Electroencephalogram (EEG) signals immensely suffer from several physiological artifacts, including electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) artifacts, which must be removed to ensure EEG’s usability. This paper pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a3bec548b0ae6c218d6ff351962692f
Publikováno v:
Signal, Image Processing and Embedded Systems Trends.
The adoption of dependable and robust techniques to remove electromyogram (EMG) artifacts from electroencephalogram (EEG) is essential to enable the exact identification of several neurological diseases. Even though many classical signal processing-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4602af31e9c190e399cb77774675cd2
https://doi.org/10.5121/csit.2022.122006
https://doi.org/10.5121/csit.2022.122006
Electroencephalogram (EEG) signals suffer substantially from motion artifacts when recorded in ambulatory settings utilizing wearable sensors. Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5aa6a7e792dfada51db7fbd7b5e5a2
https://hdl.handle.net/10576/41961
https://hdl.handle.net/10576/41961
Autor:
Muhammad E. H. Chowdhury, Amith Khandakar, Khawla Alzoubi, Aisha Mohammed, Safaa Taha, Aya Omar, Khandaker R. Islam, Tawsifur Rahman, Md. Shafayet Hossain, Mohammad T. Islam, Mamun Bin Ibne Reaz
Publikováno v:
Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders ISBN: 9783030978440
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e62bc9cf52b1504362d76c6c5bc3b83d
https://doi.org/10.1007/978-3-030-97845-7_11
https://doi.org/10.1007/978-3-030-97845-7_11