Good start to stress management

The starting level and objectives in stress management are as important as when maintaining physical condition. An employer wishes that every employee is with good health and well-being for the duration of their career. Most companies systematically take actions to promote this. When looking at stress management from an individual point of view, there are as many situations as people.

From a physical point of view someone might have as an objective to spend less time on a couch. Another wants to run a marathon or win a competition in weight lifting. Regarding the mental well-being, too many just would like to manage it until tomorrow.

“5 simple ways to live a less stressful life” or  “7 tips to managing daily stress”  are interesting titles and lead thoughts to how things are in ones´ life. Often these tips do not take into account the big picture nor is the experienced stress positive or negative.

The Moodmetric smart ring is the only wearable that shows the cognitive and emotional stress real time, and enables measuring also in long term.

The Moodmetric measurement data from several years has brought better understanding on stress

Analyzing the Moodmetric  data over the course of four years has helped us to better understand the fluctuating stress levels. The measurement periods are are from 2 weeks to years, which enables seeing how changes in life affect the stress levels. It has become clear, that a person’s starting point plays an important role in stress management.

1. People stress differently

Based on the Moodmetric measurement people can be roughly divided to two categories

  • Reaching high stress levels often and easily, both out of excitement and of negative stress. This means reacting often very strongly to emotional and cognitive stimuli.
  • Those who react more flatly, have less deviation from average values. Also these people can reach high Moodmetric-levels very fast, but they normally soon return back to equilibrium.

In the first group people might need to pay more attention to recovery every day. Sleep can be very deep when balance has been gained.

Example: A typical Moodmetric 24 hour measurement of a person easily reaching high stress levels. On the left the day from 6am to 6pm, on the right the night from 6pm to 6am.

In the second group the recovery during the night might not need to be as complete. This is because the load of the sympathetic nervous system is more modest during the day.

Example: A typical Moodmetric 24 hour measurement of a person with modest response to stress. On the left the day from 6am to 6pm, on the right the night from 6pm to 6am.

It is good to understand my own way to react to stress. There are as many ways as there are persons, and this can also change with different phases of life.

No way to react is better than the other. During evolution all types were needed – this has not changed. People acting differently are needed in social and occupational context. Diversity is good also regarding stress responses. 

2. You need to recover also from excitement

Also positive stress can wear out when going on for a long time. People devoted to their work, entrepreneurs, creative people and many others sometimes enjoy positive stress for too long. A dream job can also lead to burnout.a.

Devices and tests might tell a lot, but the most important is own experience. What is the situation in my life – the work, family, leisure, friends? Do I feel things are pretty good, or is some area of my life very demanding right now? If I say I am stressed, what does it feel like and how does it affect my life?

The Moodmetric smart ring is a support for individual stress management. It gives valuable measurement data and helps in better self understanding.

The measurement data always needs to be put in the context of own life. Same numbers can in different situations mean a different thing. Very low Moodmetric levels have been measured both with depressed and those who are simply always calm.

3. Good start to managing stress is to understand oneself and one’s life

What stresses me out, how do I calm down, what is my individual way to react? A short practice: Can you easily place yourself to the below fourfold table of wellbeing? No that your position might vary depending on whether you think of work, family or other part of life.

The wellbeing fourfold is for determining how high is the stress/arousal level, and is the state positive or negative. The Moodmetric measurement shows the stress level on a scale of 1 to 100. The app Analytics screen shows the chosen categories of life on a similar fourfold, when the user has defined the mood as pleasant/unpleasant. (Use the Diary feature for this.)

When defining where I am on the map, it is good to understand what was discussed in point 1: how do I react to stress. Some people mainly move in lower part of the picture, high levels of stress or excitement are not natural. Whether stress level is low or high, the right side of the fourfold is better in long term.

How the Moodmetric measurement supports in managing stress?

The Moodmetric measurement helps to put oneself to the correct spot on the picture of own life and stress. What stresses me out, what not, what are my stress levels comparing the objective – ie. balance?

– What Moodmetric levels one should aim at?

No single measurement result is good or bad. In long term the objective is balance. This means that sleep and rest during the day compensate the activation of the sympathetic nervous system due to emotional or cognitive load. When the Moodmetric daily average number is about 50, it indicates balance of the autonomic nervous system.

Good start to managing stress is to acknowledge own situation as accurately as possible. Measured cognitive and emotional load is often both a support and a motivating factor.

 

The Moodmetric smart ring is available at the Moodmetric web shop.

Inquiries about the Moodmetric services for organizations: [email protected]

Read more about the Moodmetric company measurement at HERE Technologies. 

 

 

Moodmetric app now with Diary and more

The Moodmetric ring and app support stress management with the aid of health tech. The app is a simple and visual tool that helps the user to understand and react to stressful things in life.

The new Moodmetric App has now been released for both iPhone and Android users. The app works with current and new ring versions.

The new app gives more tools for stress management

The familiar features of the previous Moodmetric app are still there. The real-time view supports live follow-up on stress levels, and the much appreciated Daily diagram is as before.

The new app supports stress management even better with both more possibilities for user input and automatized analytics. Defining actions and categorizing events show clearly what are the stressors in life, and what brings energy.

Stress/Mood scatter plot

The most impactful new feature is the Stress/Mood scatter plot, that now combines the experienced mood in addition to the stress measurement data provided by the Moodmetric ring.

The Moodmetric level 0-100 is the vertical axis of the scatter plow. The same Moodmetric level is familiar from the previous app version, it is developed for simple reading of the measurement results. The higher the stress level, the higher the vertical position of the life category circles.

The self perceived mood is the horizontal axis. The more use the has noted an event to be of a positive mood, to more to the right it takes the life category circle.

Diary

The scatter plot is based on Diary which is automatically updated with the Moodmetric stress level information. The user can download the phone calendar events to Diary and add notes.

It is possible to add notes to events, choose a category and indicate happy, neutral or bad mood.

 

App development is team work

Planning and development of the new features have  been started at Moodmetric already in spring 2017. We would like to give special thanks to Eero Jaakonaho for the work on perfecting the user experience from the visual perspective.

Both the iOS and Android mobile app new features have been developed at Gofore, in close cooperation with Moodmetric. The end user was kept in mind throughout the project, for example the developers had the possibility to wear the Moodmetric ring. Flexible communication enabled a smooth progress, and the app release was made as planned well before the new ring version deliveries.

Download the new Moodmetric app from AppStore or GooglePlay. If you have an old version with data in, you will not loose it.

Moodmetric features: Scope and Wearing the ring

MoodScope curve

Scope tells about the instantaneous reactions of the wearer. When you feel something, your autonomous nervous system reacts and small changes can be measured from your skin.

The Moodmetric Ring detects the changes that can be followed online with the smartphone app. All the reactions cause an upward jump on the Scope, the bigger the emotion, the higher the curve goes. The physical response delay is 1.5 seconds, so the jump is visible 1.5 s after seeing a ghost… Continue reading “Moodmetric features: Scope and Wearing the ring”

What is moodtech? – Science behind Moodmetric

Moodmetric measures the electrodermal activity (EDA) of the skin, which is widely adopted in psychological research 1. EDA is generated by 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 sweat gland density2.

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 fight-or-flight reactions. When bodily functions are not of interest and the emotional side is, sympathetic nervous system is your choice.

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 emotional intensity, negative emotion, concern, and anxiety. 1, 3 These emotions cause almost similar electrodermal responses, which makes them very hard to differentiate. However, Moodmetric will tell you if certain parts of your day have brought up emotions or not. Inversely, Moodmetric tells you weather you are calm or not. This is particularly useful during your mindfulness, meditation and other calming exercises.

Mobile EDA devices have been used by scientists for some time2, 4, and now we bring this technology within everyone´s reach.

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

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

image1 image2 image3 image4

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.

 

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