Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Kunal, Mankodiya"'
Autor:
Gozde Cay, Dhaval Solanki, Md Abdullah Al Rumon, Vignesh Ravichandran, Kofoworola Omotolani Fapohunda, Kunal Mankodiya
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110223- (2024)
Summary: We introduce SolunumWear, a multi-sensory e-textile system designed for respiration in daily life settings, addressing the gap in continuous, real-world respiration event monitoring. Leveraging a textile pressure sensor belt to capture chest
Externí odkaz:
https://doaj.org/article/bbe55dfefb024a8b82b6cf31b5a47869
Publikováno v:
JMIR Formative Research, Vol 7, p e46866 (2023)
BackgroundThe recent growth of eHealth is unprecedented, especially after the COVID-19 pandemic. Within eHealth, wearable technology is increasingly being adopted because it can offer the remote monitoring of chronic and acute conditions in daily lif
Externí odkaz:
https://doaj.org/article/694db015f10444fa88b0a985631f538c
Autor:
Rand Kasim Almajidy, Soheil Mottaghi, Asmaa A. Ajwad, Yacine Boudria, Kunal Mankodiya, Walter Besio, Ulrich G. Hofmann
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Near-infrared spectroscopy (NIRS) is a promising research tool that found its way into the field of brain-computer interfacing (BCI). BCI is crucially dependent on maximized usability thus demanding lightweight, compact, and low-cost hardware. We des
Externí odkaz:
https://doaj.org/article/02993eea308f45a0b91bfc642ed1a077
Autor:
Gozde Cay, Vignesh Ravichandran, Shehjar Sadhu, Alyssa H. Zisk, Amy L. Salisbury, Dhaval Solanki, Kunal Mankodiya
Publikováno v:
IEEE Access, Vol 10, Pp 104737-104756 (2022)
This is a literature review paper covering state-of-the-art sleep technologies to measure sleep and clinical sleep disorders. This paper addresses an interdisciplinary audience from a variety of subdomains in engineering and medicine. We reviewed 120
Externí odkaz:
https://doaj.org/article/4e3cabf41709488db3086b8bc1624a00
Autor:
Vignesh Ravichandran, Izabela Ciesielska-Wrobel, Md Abdullah al Rumon, Dhaval Solanki, Kunal Mankodiya
Publikováno v:
Biosensors, Vol 13, Iss 7, p 728 (2023)
Biopotential electrodes play an integral role within smart wearables and clothing in capturing vital signals like electrocardiogram (ECG), electromyogram (EMG), and electroencephalogram (EEG). This study focuses on dry e-textile electrodes (E1–E6)
Externí odkaz:
https://doaj.org/article/0da876364b0f407cb72c9d5043351e37
Autor:
Vignesh Ravichandran, Shehjar Sadhu, Daniel Convey, Sebastien Guerrier, Shubham Chomal, Anne-Marie Dupre, Umer Akbar, Dhaval Solanki, Kunal Mankodiya
Publikováno v:
Sensors, Vol 23, Iss 6, p 2877 (2023)
Parkinson’s disease (PD) is a neurological progressive movement disorder, affecting more than 10 million people globally. PD demands a longitudinal assessment of symptoms to monitor the disease progression and manage the treatments. Existing assess
Externí odkaz:
https://doaj.org/article/5af8df6947e747648a89962dda1f9261
Autor:
Mohammad Mezanur Rahman Monjur, Joseph Heacock, Joshua Calzadillas, MD Shaad Mahmud, John Roth, Kunal Mankodiya, Edward Sazonov, Qiaoyan Yu
Publikováno v:
Frontiers in Sensors, Vol 3 (2022)
Sensor networks and IoT systems have been widely deployed in monitoring and controlling system. With its increasing utilization, the functionality and performance of sensor networks and their applications are not the only design aims; security issues
Externí odkaz:
https://doaj.org/article/8616fa25c3824903a717196f271ed43c
Autor:
Md Abdullah al Rumon, Gozde Cay, Vignesh Ravichandran, Afnan Altekreeti, Anna Gitelson-Kahn, Nicholas Constant, Dhaval Solanki, Kunal Mankodiya
Publikováno v:
Biosensors, Vol 13, Iss 1, p 34 (2022)
The advancement of smart textiles has led to significant interest in developing wearable textile sensors (WTS) and offering new modalities to sense vital signs and activity monitoring in daily life settings. For this, textile fabrication methods such
Externí odkaz:
https://doaj.org/article/87cf1f83cdff4b8fb0a4b8a04765c672
Autor:
Farshad Firouzi, Shiyi Jiang, Krishnendu Chakrabarty, Bahar Farahani, Mahmoud Daneshmand, Jaeseung Song, Kunal Mankodiya
Publikováno v:
IEEE Internet of Things Journal. 10:3686-3705
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9285a813682801f82c5050066d321cf3
https://doi.org/10.1109/jiot.2022.3191881
https://doi.org/10.1109/jiot.2022.3191881
Publikováno v:
IEEE Internet of Things Journal. 10:3681-3685
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02a3a3e9aa3ccec93414a5575c1fd0c6
https://doi.org/10.1109/jiot.2022.3232084
https://doi.org/10.1109/jiot.2022.3232084