Picard RW - Search Results

1

Prediction of Happy-Sad mood from daily behaviors and previous sleep history.

Sano A, Yu AZ, McHill AW, Phillips AJ, Taylor S, Jaques N, Klerman EB, Picard RW. Sano A, et al. Among authors: picard rw. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6796-9. doi: 10.1109/EMBC.2015.7319954. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26737854 Free PMC article.

2

Toward a taxonomy of autonomic sleep patterns with electrodermal activity.

Sano A, Picard RW. Sano A, et al. Among authors: picard rw. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:777-80. doi: 10.1109/IEMBS.2011.6090178. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22254426

3

Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data.

Sano A, Picard RW. Sano A, et al. Among authors: picard rw. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:930-3. doi: 10.1109/EMBC.2014.6943744. Annu Int Conf IEEE Eng Med Biol Soc. 2014. PMID: 25570112 Free PMC article.

4

Irregular sleep and event schedules are associated with poorer self-reported well-being in US college students.

Fischer D, McHill AW, Sano A, Picard RW, Barger LK, Czeisler CA, Klerman EB, Phillips AJK. Fischer D, et al. Among authors: picard rw. Sleep. 2020 Jun 15;43(6):zsz300. doi: 10.1093/sleep/zsz300. Sleep. 2020. PMID: 31837266 Free PMC article.

5

Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness.

Umematsu T, Sano A, Picard RW. Umematsu T, et al. Among authors: picard rw. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:2186-2190. doi: 10.1109/EMBC.2019.8856862. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946335

6

Forecasting stress, mood, and health from daytime physiology in office workers and students.

Umematsu T, Sano A, Taylor S, Tsujikawa M, Picard RW. Umematsu T, et al. Among authors: picard rw. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5953-5957. doi: 10.1109/EMBC44109.2020.9176706. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33019329

7

Automatic identification of artifacts in electrodermal activity data.

Taylor S, Jaques N, Chen W, Fedor S, Sano A, Picard R. Taylor S, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:1934-7. doi: 10.1109/EMBC.2015.7318762. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26736662 Free PMC article.

8

Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study.

Sano A, Taylor S, McHill AW, Phillips AJ, Barger LK, Klerman E, Picard R. Sano A, et al. J Med Internet Res. 2018 Jun 8;20(6):e210. doi: 10.2196/jmir.9410. J Med Internet Res. 2018. PMID: 29884610 Free PMC article.

9

Wavelet-based motion artifact removal for electrodermal activity.

Chen W, Jaques N, Taylor S, Sano A, Fedor S, Picard RW. Chen W, et al. Among authors: picard rw. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6223-6. doi: 10.1109/EMBC.2015.7319814. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26737714 Free PMC article.

10

Recognizing Academic Performance, Sleep Quality, Stress Level, and Mental Health using Personality Traits, Wearable Sensors and Mobile Phones.

Sano A, Phillips AJ, Yu AZ, McHill AW, Taylor S, Jaques N, Czeisler CA, Klerman EB, Picard RW. Sano A, et al. Among authors: picard rw. Int Conf Wearable Implant Body Sens Netw. 2015 Jun;2015:10.1109/BSN.2015.7299420. doi: 10.1109/BSN.2015.7299420. Epub 2015 Oct 19. Int Conf Wearable Implant Body Sens Netw. 2015. PMID: 28516162 Free PMC article.

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