Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Szymon, Fedor"'
Autor:
Ieuan Clay, Francesca Cormack, Szymon Fedor, Luca Foschini, Giovanni Gentile, Chris van Hoof, Priya Kumar, Florian Lipsmeier, Akane Sano, Benjamin Smarr, Benjamin Vandendriessche, Valeria De Luca
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 5, p e35951 (2022)
The ability to objectively measure aspects of performance and behavior is a fundamental pillar of digital health, enabling digital wellness products, decentralized trial concepts, evidence generation, digital therapeutics, and more. Emerging multimod
Externí odkaz:
https://doaj.org/article/6ef41f35888540fcaff003a1fb3556b7
Autor:
Paola Pedrelli, Szymon Fedor, Asma Ghandeharioun, Esther Howe, Dawn F. Ionescu, Darian Bhathena, Lauren B. Fisher, Cristina Cusin, Maren Nyer, Albert Yeung, Lisa Sangermano, David Mischoulon, Johnathan E. Alpert, Rosalind W. Picard
Publikováno v:
Frontiers in Psychiatry, Vol 11 (2020)
Background: While preliminary evidence suggests that sensors may be employed to detect presence of low mood it is still unclear whether they can be leveraged for measuring depression symptom severity. This study evaluates the feasibility and performa
Externí odkaz:
https://doaj.org/article/64f1c60c7d2e4769a70040d5e4069798
Autor:
Joshua E, Curtiss, David, Mischoulon, Lauren B, Fisher, Cristina, Cusin, Szymon, Fedor, Rosalind W, Picard, Paola, Pedrelli
Publikováno v:
Psychological Medicine. :1-9
Background Predicting future states of psychopathology such as depressive episodes has been a hallmark initiative in mental health research. Dynamical systems theory has proposed that rises in certain ‘early warning signals’ (EWSs) in time-series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7b42ee97dd43fac8588c4b7d4c040c6
https://doi.org/10.1017/s0033291721005183
https://doi.org/10.1017/s0033291721005183
Autor:
Daniel D.L. Coppersmith, Shirley B. Wang, Evan M. Kleiman, Joseph S. Maimone, Szymon Fedor, Kate H. Bentley, Alexander J. Millner, Rebecca G. Fortgang, Rosalind W. Picard, Stuart Beck, Jeff C. Huffman, Matthew K. Nock
Publikováno v:
General hospital psychiatry. 80
Suicide is among the most devastating problems facing clinicians, who currently have limited tools to predict and prevent suicidal behavior. Here we report on real-time, continuous smartphone and sensor data collected before, during, and after a suic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d56c221805646d571bf482929a4257ea
https://pubmed.ncbi.nlm.nih.gov/36566615
https://pubmed.ncbi.nlm.nih.gov/36566615
Autor:
Ieuan Clay, Francesca Cormack, Szymon Fedor, Luca Foschini, Giovanni Gentile, Chris van Hoof, Priya Kumar, Florian Lipsmeier, Akane Sano, Benjamin Smarr, Benjamin Vandendriessche, Valeria De Luca
UNSTRUCTURED The ability to objectively measure aspects of performance and behavior is a fundamental pillar of digital health, enabling digital wellness products, decentralized trial concepts, evidence generation, digital therapeutics, and more. Emer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82867e3578dee4465a6540e5242ae3d
https://doi.org/10.2196/preprints.35951
https://doi.org/10.2196/preprints.35951
Autor:
Szymon Fedor, Esther Howe, Lisa Sangermano, Maren Nyer, Albert Yeung, Darian Bhathena, Johnathan E. Alpert, Cristina Cusin, Asma Ghandeharioun, Rosalind W. Picard, David Mischoulon, Paola Pedrelli, Dawn F. Ionescu, Lauren B. Fisher
Publikováno v:
Frontiers in Psychiatry, Vol 11 (2020)
Frontiers in Psychiatry
Frontiers in Psychiatry
Background: While preliminary evidence suggests that sensors may be employed to detect presence of low mood it is still unclear whether they can be leveraged for measuring depression symptom severity. This study evaluates the feasibility and performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df88084b46dee640b167b52dfd8f3d55
https://www.frontiersin.org/articles/10.3389/fpsyt.2020.584711/full
https://www.frontiersin.org/articles/10.3389/fpsyt.2020.584711/full
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 5, Iss 1, p 4 (2016)
Contiki’s Cooja is a very popular wireless sensor network (WSN) simulator, but it lacks support for modelling sensing coverage, focusing instead on network connectivity and protocol performance. However, in practice, it is the ability of a sensor n
Externí odkaz:
https://doaj.org/article/ec406a5d45ee47ca845b2c60e0b7549f
Publikováno v:
Journal of Psychiatric Research. 104:198-201
Patients suffering from borderline personality disorder (BPD) are at elevated risk for suicidal thoughts and behaviors (STBs), but this well-described and clinically important association is not well-understood. Prior research suggests that STBs ofte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98206047fbad6fc42217b7e14aee9ff
https://doi.org/10.1016/j.jpsychires.2018.08.006
https://doi.org/10.1016/j.jpsychires.2018.08.006
Autor:
Eleanor E. Beale, Jeff C. Huffman, Evan M. Kleiman, Matthew K. Nock, Szymon Fedor, Brianna J. Turner
Publikováno v:
Journal of Abnormal Psychology. 126:726-738
Two studies examined 2 important but previously unanswered questions about the experience of suicidal ideation: (a) How does suicidal ideation vary over short periods of time?, and (b) To what degree do risk factors for suicidal ideation vary over sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f4ffce24f4f5073c6fd37f4549902f0
https://doi.org/10.1037/abn0000273
https://doi.org/10.1037/abn0000273
Publikováno v:
Emotion Review. 8:62-75
Using “big data” from sensors worn continuously outside the lab, researchers have observed patterns of objective physiology that challenge some of the long-standing theoretical concepts of emotion and its measurement. One challenge is that emotio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7a1e374d5fd36553c5486402a8ee318
https://doi.org/10.1177/1754073914565517
https://doi.org/10.1177/1754073914565517