If a part of my life is too stressful, should I do something about it?

“I am so stressed”. You hear this often and you probably say that often. Many times we not stop to reflect, why and for what reasons we are so stressed.

When asked to specify, the list is long: the work, the boss, the colleagues, the partner, kids etc. How stressful each of them are is more difficult to point out. After some years of a very hectic life everything becomes a big clump of worry and pressing thoughts.

With the Moodmetric measurement it is easy to pinpoint what factors in life are the most stressful. The stress level is also given on a scale from 0 to 100. Each day and night is presented with an easily readable chart that shows with red and purple color on a clock face when the stress is the highest.

For myself, there is no doubt of the biggest stress factor in my life: my kids, that I love dearly. Leaving in the morning with the usual mess of lost things, being late etc. is easily the worst part of the day. The next and longer one is putting the kids to sleep. I am lucky not to get overly stressed of the work nor most people near me. This is both my personal feeling and what the Moodmetric data tells me.

One big stress factor in life is usually manageable, especially if one sleeps well. Sleep deprivation makes all the negative things look worse and if one feels burdened, that should be the first thing to correct.

For some of our users the Moodmetric measurement shows clearly that the work is the biggest stressor in life. Running the whole workday on a very high alertness level means cumulating stress weeks and months. Combined with small children and for example an elderly parent to look after, the life can get very complicated. Big changes in life cannot be done over night and of course some things we want to keep regardless of how many grey hairs we get.

The Moodmetric ring and combined app are the simplest tool to manage stress using real time physiological data. The wearer can begin to look at the life as whole and choose one stressor at the time to work with. The measurement shows stress and recovery levels also at sleep and while exercising.

Click here for more information on what the Moodmetric ring measures and what the data tells you.

 

Picture: Pixabay

Electrodermal activity measured by the Moodmetric ring

Electrodermal activity

With any sympathetic nervous system activation, skin reacts and becomes a better conductor of electricity. This can result from emotional, cognitive or other psychological origin. The phenomenon is known as electrodermal activity (EDA) and it is widely adopted in psychological research (1). Other commonly used terms for this phenomenon are skin conductance response and galvanic skin response.

EDA is generated by the activity of the sweat glands.  Moodmetric measures the palmar skin on your finger. The palmar skin is the recommended EDA measurement location, since it has the highest eccrine sweat gland density (2). You can measure EDA elsewhere as well but the reliability is not as high or as easily achieved.

The unconscious actions of the human body are regulated by the autonomic nervous system. It consists of the sympathetic part and the parasympathetic part. The parasympathetic part controls the body’s rest-and-digest functions and the sympathetic part controls the fight-or-flight reactions. With EDA, we can examine the latter.

The sweat glands are exclusively innervated by the sympathetic nervous system. This makes EDA an ideal measure for sympathetic activation (2). Electrodermal activity correlates to general cognitive and emotional intensity, and high responses are caused by e.e. stress, enthusiasm, anxiety, joy, anger (1, 3).

Mobile EDA devices have been used by scientists for some time (2, 4). The Moodmetric ring is an unobtrusive option to follow EDA responses real-time and in long term.

Signal accuracy

The signal accuracy has been proven in a study of 24 people by the Finnish Institute of Occupational Health by J. Torniainen et al.. The accuracy against a laboratory grade reference was found to be 83 %. They conclude:

“Clearly the ring sensor can be used to measure a valid EDA signal as indicated by the similarity of both event-related responses and the calculated features. The accuracy of the Moodmetric EDA Ring is adequate for psychological and physiological research when weighted against the advantage of conducting ecologically valid experiments outside laboratory conditions.”

The results were accepted for publication in the 2015 conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015, August 25-29).

The Moodmetric measurement has also been proven to be accurate by THe University of Tampere, Finland. The correlation with the reference equipment Nexus-10-MK II was good. Comparison details in charts below.

With skin conductance level (SCL) we refer here to raw measured skin conductance without any filtering. The figures below show the comparison of the two devices. 

References

1 Mendes, W.B. (2009). Assessing the autonomic nervous system. In: Harmon-Jones   E. ja Beer J.S. Methods in social neuroscience. New York: Guilford Press. p. 118-147.

2 Setz C., Arnrich B., Schumm J. and La R. (2010) Discriminating Stress From Cognitive Load Using a Wearable EDA Device. IEEE Trans. Inf. Technol. Biomed. 14(2). p. 410-417.

3 Nikula R. (1991) Psychological correlates of nonspecific skin conductance responses. Psychophysiology. 28(1). p.86-90.

4 Poh M.Z, Swenson N.C. and Picard R.W. (2010) A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity. IEEE Trans. Biomed. Eng. 57(4). p. 1243-1252.

 

 

The Moodmetric technology in research

The Moodmetric ring and app are the simplest solution to measure stress and excitement. Take the benefit of the Moodmetric continuous measurement and real-time feedback to support your research.

pic for measurement

The Moodmetric ring is developed to analyze the activation of the sympathetic nervous system, ie. the fight-or-flight reaction. This can be detected through the skin conductance response measurement. It is best done from the palmar skin or fingers, which makes the ring form perfect to obtain accurate data.

Where can the electrodermal activity measurement be applied

This phenomen of electrodermal activity / galvanic skin response has been an input for research for over hundred years. It is used in large extent for instance in
– Psychological research
– Clinical research & psychotherapy
– Media & advertising testing
– Consumer neuroscience & marketing
– Usability testing & UX design

How the Moodmetric ring is used

The Moodmetric ring is a non-intrusive way to measure the electrodermal activity, which enables long term measurement outside a laboratory setting. The ring is worn as a normal ring. It connects to a smartphone app via bluetooth smart and real-time measurement works within 5m radius.
The app shows the electrodermal responses measured by the ring and the output of the signal analysis which is the Moodmetric index (0…100).  In addition, the Moodmetric number among other data, so the ring can be worn without phone connection. The data can be synced any time.
Direct data streaming from the ring to Windows PC is possible with a BLE dongle. This enables also access to EDA raw data.

In addition to EDA sensors, there is a three axis accelerometer inside the Moodmetric ring. This enables for example measuring the step count, that is included in the app.

The measuring and output

Due to the advanced signal analysis methods to derive the Moodmetric index, the measurement works for everyone. It adapts to the typical level of the person using the ring. The ring learns the levels of the user, becomes personal, and always gives a number between 0 and 100, with a typical activation level of 50. If the user changes you can reset and the learning starts from the beginning.

The algorithm also includes an advanced artefact rejection. The electrodes touch the skin and even if your hand moves the algorithm rejects the disturbances in the signal caused by the electrode movement.

The Moodmetric measurement accuracy and current use in research

The Moodmetric ring feasibility for research has been verified by the Finnish Institute of Occupational health.
http://ieeexplore.ieee.org/document/7319865/?reload=true&arnumber=7319865
It is used currently in following research programs:

Pop up

‘Pop up  – knowledge work productivity’ research project provides new research results, practical methods and measurement tools for developing knowledge work productivity and well-being at work. Knowledge work is analyzed through a work system including physical, virtual, social and emotional environments. This project develops and utilizes participatory Pop up –method for designing and testing new work environments and practices that provides more productive ways of working. In addition, the project develops metrics and measurement tools for analyzing the impacts of new work designs. Mobile devices, sensors and applications are utilized to study fluency and experienced well-being and productivity of knowledge work.

Project’s multidisciplinary team comprises researchers from Tampere University of Technology (TUT) and Aalto University. The project is carried out in close collaboration with industry partners: Tampere Region Economic Development Agency Tredea, Arkkitehtitoimisto Helamaa&Heiskanen, University Properties of Finland Ltd, Martela and Moodmetric.

Contact persons:
TUT Novi research center: Maiju Vuolle, maiju.vuolle(at)tut.fi
TUT Human-centered technology: Kaisa Väänänen, kaisa.vaananen(at)tut.fi
TUT School of Architecture: Jenni Poutanen, jenni.poutanen(at)tut.fi
Aalto Virtual and mobile work research unit: Matti Vartiainen, matti.vartiainen(at)aalto.fi
DEEVA

DEEVA project utilizes the opportunities of digitalization to create value from data and to develop new, customer driven service products and methods which support value co-creation and that are based on deep understanding of customer experience.

The research question is as follows: what kinds of means, modes and contexts combining data, emotions and experiences digitalization enables. The project is carried out with a large and versatile network of enterprises. The participating 20 companies vary in size and industry, e.g. energy, media, bank, ICT, real estate, commercial and service sectors are represented in the project.  Multisectoral group of enterprises enhance both co-learning and gaining new insights into the research topic.

The project is executed by a multidisciplinary research consortium of three universities: Tampere University of Technology, Turku University of Applied Sciences and Tampere University of Applied Sciences in co-operation with six international universities.  In addition to knowledge and publications for different target groups the project will create tools and applications for measuring customer experience and analyzing emotion data in real-time. The information provided by the tools and applications can be used in everyday activities of companies to support e.g. management of multi-channeled service environment and development of new service products and co-creative ecosystems.

Contact persons:
TUT Novi research center: Nina Helander, nina.helander(at)tut.fi
TUAS AADI Research group: Harri Jalonen, harri.jalonen(at)turkuamk.fi
TAMK Mediapolis: Leena Mäkelä, leena.makela(at)tamk.fi