To optimize performance, coaches and athletes are always looking for the right balance between training load and recovery. Therefore, closely monitoring of athletes is important. Heart rate recovery (HRR) after standardized sub maximal exercise has been proposed as a useful variable to monitor (Lamberts et al., 2004). However, it is well known that heart rate, next to biological variability, is influenced by several factors such as training load and psychosocial stress. So, the purpose was to look at individual variability in HRR from one week to another using the heart rate interval monitoring system (HIMS). Methods Eight elite Dutch female indoor hockey players (age: 23.9±3.91yr, length: 155.0±7.01cm, weight: 56.6±6.16kg) completed the HIMS two weeks in a row (Lamberts et al., 2004). The heart rate at the end of the last stage (HRend) was determined and the HRR was calculated one minute after the end of the last stage. Furthermore, training load and psychosocial stress and recovery were monitored using the Foster-method (1998) and the RESTQ-Sport (Nederhof et al., 2008), respectively. Results A strong correlation was found between the HRend from one week to the other (r=0.984 p.
Occupational stress can cause all kinds of health problems. Resilience interventions that help employees deal with and adapt to adverse events can prevent these negative consequences. Due to advances in sensor technology and smartphone applications, relatively unobtrusive self-monitoring of resilience-related outcomes is possible. With models that can recognize intra-individual changes in these outcomes and relate them to causal factors within the employee’s own context, an automated resilience intervention that gives personalized, just-in-time feedback can be developed. The Wearables and app-based resilience Modelling in employees (WearMe) project aims to develop such models. A cyclical conceptual framework based on existing theories of stress and resilience is presented, as the basis for the WearMe project. The included concepts are operationalized and measured using sleep tracking (Fitbit Charge 2), heart rate variability measurements (Elite HRV + Polar H7) and Ecological Momentary Assessment (mobile app), administered in the morning (7 questions) and evening (12 questions). The first (ongoing) study within the WearMe project investigates the feasibility of the developed measurement cycle and explores the development of such models in social studies students that are on their first major internship. Analyses will target the development of both within-subject (n=1) models, as well as between-subjects models. The first results will be shared at the Health By Tech 2019 conference in Groningen. If successful, future work will focus on further developing these models and eventually exploring the effectiveness of the envisioned personalized resilience system.
The problem addressed in this report is to verify the possibility of using an optical sensor in the SaxShirt in order to extract the heart rate. There are specifically three questions that we try to address. 1) How is it possible to extract heart rate (BPM) from the optical sensor? 2) Is it possible to use the sensor for extracting BPM during movement? 3) Is the heart rate measured in this way useful for measuring other higher-level parameters such as heart rate coherence and heart rate variability? For this purpose, we have performed tests with the sensor placed on different spots and the data was analyzed to see if heart rate can be extracted from the sensor measurements.
MULTIFILE
YOUNG-D is a European project on the prevention and management of anxiety, stress and sleep problems in people with early onset dementia (OED).The overall aim of this project is to increase awareness and knowledge of (future) health care providers in the included EU-partners on psychosocial and behavioral program YOUNG-D in people with early onset dementia in order to prevent and manage anxiety, stress and sleep problems, which in turn increases heart rate variability, wellbeing and quality of life.ErasmusprojectThis project aims to educate and sensitize health care providers, organisations and health care students and -lecturers about early onset dementia. More specifically, this project focuses on knowledge transfer about aspects in the prevention and management of anxiety, stress and sleep problems in people with early onset dementia by means of a psychosocial and behavioural program. Activities to implement(1) the development and organisation of a train-the-trainer course for professional health caregivers and organisations.; (2) the health care organisation partner in each European country (partner) will enroll the six week psychosocial and behavioural program in its own setting; (3) knowledge transfer towards future health care students and lecturers will be provided per country by means of a blended learning module. Planned results: (1) Development of the train-the-trainer course: a syllabus and a joint report(2) Implementation of the six week program in each health care setting in the included health care partners and a joint report (3) development of blended learning course and a joint report
