Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Will Ke Wang"'
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e43617 (2023)
BackgroundDigital sensing solutions represent a convenient, objective, relatively inexpensive method that could be leveraged for assessing symptoms of various health conditions. Recent progress in the capabilities of digital sensing products has targ
Externí odkaz:
https://doaj.org/article/0fbbad8483d240849658f16862fef26a
Autor:
Will Ke Wang, Ina Chen, Leeor Hershkovich, Jiamu Yang, Ayush Shetty, Geetika Singh, Yihang Jiang, Aditya Kotla, Jason Zisheng Shang, Rushil Yerrabelli, Ali R. Roghanizad, Md Mobashir Hasan Shandhi, Jessilyn Dunn
Publikováno v:
Sensors, Vol 22, Iss 20, p 8016 (2022)
Background: Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, and ingestible and implantable sensors are increasingly used by individuals and clinicians to capture the health ou
Externí odkaz:
https://doaj.org/article/ea3465e0cf2345459698f513caf8b236
Autor:
Md Mobashir Hasan Shandhi, Jennifer C Goldsack, Kyle Ryan, Alexandra Bennion, Aditya V Kotla, Alina Feng, Yihang Jiang, Will Ke Wang, Tina Hurst, John Patena, Simona Carini, Jeanne Chung, Jessilyn Dunn
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 9, p e29875 (2021)
BackgroundDigital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestibles, and implantables are increasingly used by individuals and clinicians to capture health outcomes or behav
Externí odkaz:
https://doaj.org/article/f304e395daf74928a8d519e10d9ca082
Publikováno v:
Cell Reports: Methods, Vol 1, Iss 4, Pp 100067- (2021)
Consumer wearables, such as smart watches, are a promising tool for monitoring circadian health in “real world” settings. Bowman et al. demonstrate that circadian signals can be accurately captured through heart rate data obtained from wearables,
Externí odkaz:
https://doaj.org/article/50f4178aeaab4c5e9e881cb7c14118cf
Autor:
Yihang Jiang, Yuankai Qi, Will Ke Wang, Brinnae Bent, Robert Avram, Jeffrey Olgin, Jessilyn Dunn
Publikováno v:
Sensors, Vol 20, Iss 9, p 2700 (2020)
The dynamic time warping (DTW) algorithm is widely used in pattern matching and sequence alignment tasks, including speech recognition and time series clustering. However, DTW algorithms perform poorly when aligning sequences of uneven sampling frequ
Externí odkaz:
https://doaj.org/article/ef63b9d738e24fe99758c39e475551e7
BACKGROUND Digital sensing solutions represent a convenient, objective, relatively inexpensive method that could be leveraged for assessing symptoms of various health conditions. Recent progress in the capabilities of digital sensing products has tar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72b7c2a1bd8043a602d29d9048cd8709
https://doi.org/10.2196/preprints.43617
https://doi.org/10.2196/preprints.43617
Autor:
Md Mobashir Hasan Shandhi, Jennifer C Goldsack, Kyle Ryan, Alexandra Bennion, Aditya V Kotla, Alina Feng, Yihang Jiang, Will Ke Wang, Tina Hurst, John Patena, Simona Carini, Jeanne Chung, Jessilyn Dunn
BACKGROUND Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestibles, and implantables are increasingly used by individuals and clinicians to capture health outcomes or beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f53ef291d0a8c95d226ef7fe121d1bd8
https://doi.org/10.2196/preprints.29875
https://doi.org/10.2196/preprints.29875
Autor:
Brinnae Bent, Jeffrey E. Olgin, Yihang Jiang, Will Ke Wang, Jessilyn Dunn, Robert Avram, Yuankai Qi
Publikováno v:
Sensors
Volume 20
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 2700, p 2700 (2020)
Volume 20
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 2700, p 2700 (2020)
The dynamic time warping (DTW) algorithm is widely used in pattern matching and sequence alignment tasks, including speech recognition and time series clustering. However, DTW algorithms perform poorly when aligning sequences of uneven sampling frequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fbfe2998fb542ced7cfffeb765d4434
Autor:
Jeanne Chung, Alexandra Bennion, Simona Carini, John V. Patena, Yihang Jiang, Jennifer C. Goldsack, Tina L. Hurst, Kyle Ryan, Alina Feng, Jessilyn Dunn, Aditya V Kotla, Will Ke Wang, Md. Mobashir Hasan Shandhi
Publikováno v:
Journal of Medical Internet Research
Background Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestibles, and implantables are increasingly used by individuals and clinicians to capture health outcomes or beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cbdb87baac5fa774aeca81b7398f130
https://doi.org/10.2196/29875
https://doi.org/10.2196/29875
Publikováno v:
Cell Reports: Methods, Vol 1, Iss 4, Pp 100067-(2021)
Consumer wearables, such as smart watches, are a promising tool for monitoring circadian health in “real world” settings. Bowman et al. demonstrate that circadian signals can be accurately captured through heart rate data obtained from wearables,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::872d7dea2ce83370fdcdfb25be404824
https://doi.org/10.1016/j.crmeth.2021.100067
https://doi.org/10.1016/j.crmeth.2021.100067