Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Seyed Ali Rokni"'
Publikováno v:
IEEE Sensors Journal. 22:13407-13423
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::632cc609d119f4898ddb2fcaec7f47bf
https://doi.org/10.1109/jsen.2022.3175881
https://doi.org/10.1109/jsen.2022.3175881
Autor:
Seyed Ali Rokni, Mahdi Pedram, Sunghoon Ivan Lee, Seyed Iman Mirzadeh, Ramin Fallahzadeh, Hassan Ghasemzadeh, Diane Woodbridge
Publikováno v:
IEEE Sensors Journal. 21:20750-20763
Fluid intake tracking is crucial in providing interventions that assist individuals to stay hydrated by maintaining an adequate amount of fluid. It also helps to manage calorie intake by accounting for the amount of calorie consumed from beverages. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae0afa6fcfa311fafeac0477d80c598b
https://doi.org/10.1109/jsen.2021.3081012
https://doi.org/10.1109/jsen.2021.3081012
Autor:
Seyed Ali Rokni, Parastoo Alinia, Mahdi Pedram, Iman Mirzadeh, Hassan Ghasemzadeh, Marjan Nourollahi
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 26:1-31
Wearables are poised to transform health and wellness through automation of cost-effective, objective, and real-time health monitoring. However, machine learning models for these systems are designed based on labeled data collected, and feature repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7a9e6bb0f836339791f774b8ffc50f
https://doi.org/10.1145/3414062
https://doi.org/10.1145/3414062
Autor:
Seyed Ali Rokni, Hassan Ghasemzadeh
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 24:1-27
Wearable sensors utilize machine learning algorithms to infer important events such as the behavioral routine and health status of their end users from time-series sensor data. A major obstacle in large-scale utilization of these systems is that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9386efc19523ef978d5dbd16a0b801
https://doi.org/10.1145/3318044
https://doi.org/10.1145/3318044
Publikováno v:
WearSys@MobiSys
Detecting when eating occurs is an essential step toward automatic dietary monitoring, medication adherence assessment, and diet-related health interventions. Wearable technologies play a central role in designing unobtrusive diet monitoring solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e00d895a687b92a339b487d3bcaffe83
https://doi.org/10.1145/3396870.3400011
https://doi.org/10.1145/3396870.3400011
Autor:
Seyed Ali Rokni, Hassan Ghasemzadeh
Publikováno v:
IEEE Transactions on Mobile Computing. 17:1764-1777
Wearable technologies play a central role in human-centered Internet-of-Things applications. Wearables leverage machine learning algorithms to detect events of interest such as physical activities and medical complications. A major obstacle in large-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f35aa5145433f1db741e97451644ef8
https://doi.org/10.1109/tmc.2018.2789890
https://doi.org/10.1109/tmc.2018.2789890
Publikováno v:
Big Data-Enabled Internet of Things ISBN: 9781785616365
This chapter briefly overviews robust machine-learning solutions for wearable IoT applications. Furthermore, it presents one of the earliest attempts in presenting an autonomous learning framework for wearables. The focus, in particular, is on cases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ae7a19839422d44e2ddee4def31a342
https://doi.org/10.1049/pbpc025e_ch4
https://doi.org/10.1049/pbpc025e_ch4
Publikováno v:
BSN
Advances in embedded systems have enabled integration of many lightweight sensory devices within our daily life. In particular, this trend has given rise to continuous expansion of wearable sensors in a broad range of applications from health and fit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f58393ced4348c366d40d89d195a3221
https://doi.org/10.1109/bsn.2019.8771065
https://doi.org/10.1109/bsn.2019.8771065
Autor:
Ramin Fallahzadeh, Enrique Soto-Perez-de-Celis, Armin Shahrokni, Hassan Ghasemzadeh, Seyed Ali Rokni
Publikováno v:
JCO clinical cancer informatics. 2
In this review, we describe state-of-the-art digital health solutions for geriatric oncology and explore the potential application of emerging remote health-monitoring technologies in the context of cancer care. We also discuss the benefits and motiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfce078dcda0e224a8fb6aeb974a56b9
https://pubmed.ncbi.nlm.nih.gov/30652581
https://pubmed.ncbi.nlm.nih.gov/30652581
Autor:
Seyed Ali Rokni, Hassan Ghasemzadeh, Keyvan Sasani, Robert J. Downey, Alireza Ghods, Armin Shahrokni, Helen N. Catanese
Publikováno v:
Journal of geriatric oncology. 10(1)
PURPOSE: Gait speed in older patients with cancer is associated with mortality risk. One approach to assess gait speed is with the ‘Timed Up and Go’ (TUG) test. We utilized machine learning algorithms to automatically predict the results of the T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ffe6edf571cfdb93493c9b7d2dcdcc8
https://pubmed.ncbi.nlm.nih.gov/30017733
https://pubmed.ncbi.nlm.nih.gov/30017733