Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sawal H. M. Ali"'
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:
Fahmida Haque, Mamun B. I. Reaz, Muhammad E. H. Chowdhury, Fazida H. Hashim, Norhana Arsad, Sawal H. M. Ali
Publikováno v:
IEEE Access, Vol 9, Pp 7618-7631 (2021)
Diabetic sensorimotor polyneuropathy (DSPN) is an early indicator for non-healing diabetic wounds and diabetic foot ulcers, which account for one of the most common complications of diabetes, leading to increased healthcare cost, decreased quality of
Externí odkaz:
https://doaj.org/article/fa9ef713a5b0425483ee0d46c5ddd1e7
Autor:
Fahmida Haque, Mamun B. I. Reaz, Muhammad E. H. Chowdhury, Mohd Ibrahim bin Shapiai, Rayaz A. Malik, Mohammed Alhatou, Syoji Kobashi, Iffat Ara, Sawal H. M. Ali, Ahmad A. A. Bakar, Mohammad Arif Sobhan Bhuiyan
Publikováno v:
Diagnostics, Vol 13, Iss 2, p 264 (2023)
Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of diabetes, which may lead to foot ulceration and amputation. Among the screening tools for DSPN, the Michigan neuropathy screening instrument (MNSI) is frequently deplo
Externí odkaz:
https://doaj.org/article/a479b9bcd25645a4a154843b4f1022fa
Autor:
Fahmida Haque, Mamun B. I. Reaz, Muhammad E. H. Chowdhury, Serkan Kiranyaz, Sawal H. M. Ali, Mohammed Alhatou, Rumana Habib, Ahmad A. A. Bakar, Norhana Arsad, Geetika Srivastava
Publikováno v:
Computational Intelligence and Neuroscience.
Background. Diabetic sensorimotor polyneuropathy (DSPN) is a major form of complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is very common and well-established in the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c140306920aead5eeeddc368a607eb50
Publikováno v:
2015 IEEE Conference on Energy Conversion (CENCON).
This paper presents a comparison of standard topologies for AC-DC converters within micropower energy harvesting systems. The focus is on low input voltage (< 1 V), low input frequency (< a few kilohertz), ultra-low power consumption (nanowatts to mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e1d670d45a38cc9eb86751d31373cb3
https://doi.org/10.1109/cencon.2015.7409581
https://doi.org/10.1109/cencon.2015.7409581
Publikováno v:
2014 IEEE International Conference on Semiconductor Electronics (ICSE2014).
This work involves the modeling of three arbitrary input sources representing Hybrid Energy Harvesters (HEH) using a DC-DC Boost converter. These sources are combined in parallel and targeted at scavenging passive human power, therefore the three sui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8d2b1b6d21869548117aa200925aea
https://doi.org/10.1109/smelec.2014.6920787
https://doi.org/10.1109/smelec.2014.6920787