Study Diary V

SedentaryMood-Study (Part V)

The following article is part of a series about the "SedentaryMood-Study".

Measurement times of the real-time study

In the last article, the sedentary sedimentary triggered e diaries and the randomly selected queries were described. In the next step, the study plan used for the SedentaryMood-Study is explained. Here, the frequency of the mood polls during the course of a day plays an important role.

The exact number of queries depends on the individual participant's level of activity and thus, as in this study, up to 12 queries per day can be expected. More mood queries per day over a longer period of time are not to be recommended in order not to overstrain the associated willingness of the test persons to participate and thus not to endanger the data quality.

On the basis of study results, about three to five days - of which at least one weekend day - are necessary for a representative recording of sedentary behaviour. In view of this, the survey period, the SedentaryMood Study, lasted five days (three working days and two weekend days).

The sample was recruited from the University of Newcastle (UoN, Australia) and the Karlsruhe Institute of Technology (KIT, Germany). Participation in the study was linked to the following inclusion criteria: official co-worker of the institution, no illness or injury, and the work was performed predominantly in a sedentary body position.

more about the practical implementation of the study can be found in the next article...

The 4th Sensor Generation


New Design - New Features - New Applications

Finally we're able to unveil the new sensor generation. We're starting the launch of series 4 with the Move 4 and the EcgMove 4. With the 4th generation, movisens took into account the numerous requirements of researchers, implementing their wishes and also further increasing the quality of the sensors.


Curious? Then click here to see more!

New sensors available soon!

On the 12th of July the newest generation of our sensors shall emerge from the lab. So, save that date in your calendar and be one of the first who benefits from the newest developments and upgrades to our sensor range!

You can't wait until the 12th of July?

Click here to request an advanced preview

Study diary IIII

SedentaryMood Study (Part IIII)

The following article is part of a series about the "SedentaryMood-Study".

Sedentary Triggered e-Diaries

The methodical core of the "SedentaryMood-Study" is the use of Sedentary Triggered e-Diaries. As far as is known, no comparable technical solution has been implemented in any study to date.

Smartphone mit movisensXS
Smartphone with movisensXS
In this case, the application aims to capture psychological parameters precisely during long sitting phases. Sedentary behaviour is recorded, analysed in real time and mood queries are generated when defined thresholds are reached. The threshold for long sedentary behaviour is 30 minutes. The communication between smartphone (e-Diary) and accelerometer takes place via a Bluetooth low energy (BLE) connection.
In the practical implementation of this study, Sedentary Triggerd e-Diaries as well as random time points in the daily routine were selected. In addition, at the end of a study day, the test persons were encouraged to subjectively indicate the entire duration of the completed day.


The figure shows a triggered query with movisensXS.


You can find out more about the SedentaryMood-Study in the next article...

Sedentary Mood Study – Part 3

Sedentary Mood Study (Part III)

The following article is part of a series on the "SedentaryMood Study".

Preparations to determine the body position

As part of the "SedentaryMood Study," the Move 3 activity sensor was used for the first time to capture sedentary behavior as a primary target variable. Thus, some preparatory work was necessary in the run-up to the study. These were aimed primarily at the detection of the body position.

In order to determine the most suitable carrying position for the activity sensor and thus to differentiate between sitting and upright body positions, two video studies were carried out. On the one hand in everyday life with different activities and body positions and on the other hand during office work in everyday working life.

The evaluations of both measurements show that a carrying position of the activity sensor Move 3 between the sagittal axis and the longitudinal axis, an upright body position is assumed. If the sensor is in a position that exceeds the angular range of < 20° between the sagittal axis and the longitudinal axis, an upright body position is assumed. If the sensor is in a position that exceeds the angular range of > to the sagittal axis, then a seated / lying body position is specified.

As the measured data of the activity sensor Move 3 analyzed, coupled with the e-Diary movisensXS and triggered with the SensorTrigger you will learn in the next article ...

Symposium of the Professions of Clinical Psychology and Psychotherapy

From the 10th to the 12th of May 2018, movisens heads to the Symposium of the professions of "Clinical Psychology and Psychotherapy" to take part as an exhibitor. The University Koblenz-Laundau brings together the conference at the Landau campus, presented with the title "Psychotherapy - Multifaceted and Neverending".*

Participants can look forward to exciting keynotes from prominent speakers, including by Prof. Dr. Jutta Joormann from Yale University. In the intervals between interesting discussions, lectures, and presentations, we'd be delighted if you drop by our stand to have a chat with us about your research, and discover how movisens technology might provide an ideal solution for your work.
* - "Psychotherapie - Vielschichtig und Lebensspanne(nd)"

ECSS Dublin 2018

The 23rd "European College of Sport Science" conference takes place in Dublin on the 4th til the 7th of July. Once again, movisens stands ready (at booth 15) to answer all your questions about our physiological sensors and other research solutions.

CoCa – Comorbid Conditions of Attention Deficit/Hyperactive Disorders.

An m-health innovation enabled by movisens

The CoCa-Project involves the implementation and piloting of an "m-Health" (mobile-health) platform for participants with ADHD. It aims to observe and promote the chronobiological rhythm and physical activity levels in people with attention-deficit hyperactivity disorder (ADHD), and it's comorbid disease factors.

A European collaboration of researchers have set out to understand the associated diseases prevalent with ADHD. They're studying the features and physical functions in adolescents and young adults with ADHD to better understand it's associated diseases. They'll seek new ways to treat ADHD and help prevent these concomitant diseases.

In conjunction with movisens GmbH, KIT's Institute for Sport and Sports Science developed an m-Health system as part of the CoCA project. The system generates individualized feedback, sending daily reminders to the participants related to their treatment. The system also monitors and increases participant's adherence to their current treatment plan, motivating them to perform the intervention's exercises and the light therapy.

Incorporating Physiological Data

The m-Health system includes classic e-diary components, monitors the therapy delivery, and presents video clips as exercise modules. The study also tracks the physiological data, recorded via the wrist worn Light and activity sensor - LightMove 3. This sensor provides valuable objective data for analysis and assists in the interventions.

An m-health intervention

Incorporating the sensor allows for an innovative m-health intervention. Whilst the sensor records the data for future analysis, it simultaneously calculates and transmits physiological data via Bluetooth smart to the participants smartphone. From there, it's uploaded to a server and processed in real time. Through this innovation, the m-health system generates motivational feedback on the activities performed and transmits them to the participant's smartphone. An innovative ecological momentary assessment study, AND intervention.

The CoCA-Project provided movisens a unique opportunity to demonstrate the complex capabilities of our experience sampling platform. Enlisting movisens' experience with EMA study design, combined with their expertise in physiological sensors enabled the research team to focus on finding the answers that they seek.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 667302.

Sedentary Mood – Study II

Study Diary "Sedentary Mood-Study"

Sedentary Behavior Study

The following article continues our series on "Sedentary Mood-Studies". Throughout the series we'll take you through a course of sedentary behavior studies, describing the process from planning to results. We'll start with the process of capturing the necessary data to examine the link between sedentary behavior and mood. To do this, we'll detail a particular sedentary behavior study to illustrate the idea.

Part 2: Recording mood and sedentary behavior data

When studying sedentary behavior, it's important to select a time frame that provides enough data to analyse. In this case, the researcher chose a five day period in an ambulatory setting to capture data in everyday life. Over this five day period participants received mood assessments several times per day, and had their activity recorded during waking hours.

To capture the participants mood, it's necessary to use an experience sampling method. For this study, the android based experience sampling app movisensXS displayed the short version of the "Multidimensional Mood Questionnaire (MDMQ)" at random intervals. The MDMQ measures the mood in three dimensions - Valence, Energetic Arousal, and Calmness - and was specifically conceptualized for ambulatory studies (see Wilhelm and Schoebi, 2007, p. 259ff.)

Whilst there's no technical device that captures sedentary behavior (see Kang and Rowe, 2015, p.113), the activity sensor serves as the de facto research instrument of choice. Given the abundance of fitness trackers on the market, it's often tempting to purchase inexpensive devices in order to obtain more data points. However, for research grade data it's important to use research grade devices. Whilst that may mean fewer devices and fewer participants, the quality of the data more than compensates.

The Sedentary Behavior Research Network (SBRN, 2017) defines Sedentary Behavior as: "Sedentary behavior is any waking behavior characterized by an energy expenditure ≤1.5 metabolic equivalents (METs), while in a sitting, reclining or lying posture". So in order to obtain an optimal recording, we need to evaluate both body position and energy expenditure.

In the next part of this series, we'll describe how the guidelines for sedentary behavior were met within this study

Austrian Society for Psychology conference

The 13th conference of the Austrian Society for Psychology (Österreichischen Gesellschaft für Psychologie) (ÖGP) takes place from the 12th til the 14th of April 2018 in the Johannes Kepler Universität in Linz.

The conference focuses on the opportunity of linking newer technologies with classical reactive procedures in order to show new potentials for psychological research. We're looking forward to the interesting presentations, and hope that attendees take a moment to stop by our stand to inform themselves of our innovative methods and research solutions.