SRI's Approach to Multimodal Sensing of Stress for Stress Resiliency Training

2020 ◽

Vol 2020 (17) ◽

pp. 2-1-2-6

Author(s):

Shih-Wei Sun ◽

Ting-Chen Mou ◽

Pao-Chi Chang

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Network Structure ◽

Inertial Sensors ◽

Body Movement ◽

The Body ◽

Body Parts ◽

Multimodal Sensing ◽

Multiple Devices ◽

Neural Network Structure

To improve the workout efficiency and to provide the body movement suggestions to users in a “smart gym” environment, we propose to use a depth camera for capturing a user’s body parts and mount multiple inertial sensors on the body parts of a user to generate deadlift behavior models generated by a recurrent neural network structure. The contribution of this paper is trifold: 1) The multimodal sensing signals obtained from multiple devices are fused for generating the deadlift behavior classifiers, 2) the recurrent neural network structure can analyze the information from the synchronized skeletal and inertial sensing data, and 3) a Vaplab dataset is generated for evaluating the deadlift behaviors recognizing capability in the proposed method.

Download Full-text

Resiliency Training in Adolescents With NF1 and NF2

Case Medical Research ◽

10.31525/ct1-nct03873610 ◽

2019 ◽

Author(s):

Keyword(s):

Resiliency Training

Download Full-text

Stress Management and Resiliency Training (SMART) for Family Medicine Residents at Eglin AFB

Case Medical Research ◽

10.31525/ct1-nct03936114 ◽

2019 ◽

Author(s):

Keyword(s):

Family Medicine ◽

Stress Management ◽

Resiliency Training ◽

Family Medicine Residents

Download Full-text

A Deep Learning Approach for Human Activities Recognition From Multimodal Sensing Devices

IEEE Access ◽

10.1109/access.2020.3027979 ◽

2020 ◽

Vol 8 ◽

pp. 179028-179038

Author(s):

Isibor Kennedy Ihianle ◽

Augustine O. Nwajana ◽

Solomon Henry Ebenuwa ◽

Richard I. Otuka ◽

Kayode Owa ◽

...

Keyword(s):

Deep Learning ◽

Human Activities ◽

Learning Approach ◽

Multimodal Sensing ◽

Human Activities Recognition

Download Full-text

The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing

npj Digital Medicine ◽

10.1038/s41746-021-00435-2 ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Stephen M. Mattingly ◽

Ted Grover ◽

Gonzalo J. Martinez ◽

Talayeh Aledavood ◽

Pablo Robles-Granda ◽

...

Keyword(s):

Sleep Duration ◽

Seasonal Effects ◽

Sleep Patterns ◽

Sleep Habits ◽

Sleep Behavior ◽

Weather Effects ◽

Wake Time ◽

Multimodal Sensing ◽

Four Seasons ◽

Local Weather

AbstractPrevious studies of seasonal effects on sleep have yielded unclear results, likely due to methodological differences and limitations in data size and/or quality. We measured the sleep habits of 216 individuals across the U.S. over four seasons for slightly over a year using objective, continuous, and unobtrusive measures of sleep and local weather. In addition, we controlled for demographics and trait-like constructs previously identified to correlate with sleep behavior. We investigated seasonal and weather effects of sleep duration, bedtime, and wake time. We found several small but statistically significant effects of seasonal and weather effects on sleep patterns. We observe the strongest seasonal effects for wake time and sleep duration, especially during the spring season: wake times are earlier, and sleep duration decreases (compared to the reference season winter). Sleep duration also modestly decreases when day lengths get longer (between the winter and summer solstice). Bedtimes and wake times tend to be slightly later as outdoor temperature increases.

Download Full-text

I’m No Superman: fostering physician resilience through guided group discussion of Scrubs

BMC Medical Education ◽

10.1186/s12909-021-02856-9 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Arthur Holtzclaw ◽

Jack Ellis ◽

Christopher Colombo

Keyword(s):

Internal Medicine ◽

Training Programs ◽

Low Cost ◽

Group Discussion ◽

Well Being ◽

Internal Medicine Residency ◽

Resiliency Training ◽

High Satisfaction ◽

Burn Out

Abstract Background Almost half of trainees experience burnout during their career. Despite the Accreditation Council on Graduate Medical Education (ACGME) recommendation that training programs enact well-being curricula, there is no proven method of addressing this difficult topic. Methods We created a curriculum addressing physician resiliency and well-being, designed for an Internal Medicine Residency Program. This curriculum utilized episodes from a medical television series, Scrubs, to facilitate a monthly, 1-h faculty guided discussion group. We collected informal feedback and abbreviated Maslach Burnout Inventories (aMBI) monthly and conducted a formal focus group after 6 months to gauge its effectiveness. Results The curriculum was successfully conducted for 12 months with each session averaging 18–20 residents. Residents reported high satisfaction, stating it was more enjoyable and helpful than traditional resiliency training. 19 of 24 residents (79 %) completed a baseline aMBI, and 17 of 20 residents (85 %) who attended the most recent session completed the 6-month follow-up, showing a non-significant 1-point improvement in all subsets of the aMBI. Conclusions This novel, low-cost, easily implemented curriculum addressed resiliency and burn-out in an Internal Medicine Residency. It was extremely well received and can easily be expanded to other training programs or to providers outside of training.

Download Full-text