SensorTrigger. Solution for Interactive Ambulatory Assessment User Manual

Transcription

1 SensorTrigger Solution for Interactive Ambulatory Assessment User Manual

2 Imprint User Manual SensorTrigger Version: The newest version of the User Manual can be found here: Frequently asked questions: movisens GmbH Augartenstraße Karlsruhe Germany Phone: Fax: Internet: support@movisens.com Copyright: movisens GmbH

3 Contents 1 Welcome! Scope of Application Instructions of Use Scope of Delivery and Accessories Scope of Delivery Complementary Products Complete Measurement System Usage Overview System Requirements Installing the Sensor Trigger Preparing your study on movisensxs Create Sampling Configuring the Sensor Trigger Trigger algorithms Heart Rate Algorithm Sensor Requirements Description Decreased RMSSD Algorithm Sensor Requirements Schematic Overview Description Configuration Simple RMSSD Sensor Requirements Overview Description Typical MovementAcceleration values Configuration...34

4 6.4 Activity/Inactivity Algorithm Sensor Requirements Description Sedentary Algorithm Sensor Requirements Overview Data Only Algorithm Sensor Requirements Overview Shake Algorithm Sensor Requirements Overview Simple EDA Scl Mean Algorithm Sensor Requirements Overview Description of Algorithm Legal Notes Copyright Disclaimer...42

5 1 Welcome! 1 Dear customer, Thank you for choosing the SensorTrigger application from movisens. Please read this manual completely and thoroughly before using the application! In this manual you will find all the information relevant to use the app as well as for solving problems with it. If you have any further questions, don t hesitate to call us. It is our pleasure to help you: Phone: support@movisens.com 1

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7 2 Scope of Application The SensorTrigger triggers forms on the Experience Sampling Platform movisensxs based on information obtained from one of our mobile sensors. Coupling the sensor via Bluetooth to an Android smartphone running movisensxs allows the sensor to transmit various parameters to the SensorTrigger application. 2 The following two parameters are calculated and transmitted by all of our physical activity sensors: Movement Acceleration State of Charge The EcgMove 3 and EcgMove 4 transmits the following additional parameters: Heart Rate HRV RMSSD HrvIsValid The ambient light and activity sensor LightMove 3 and LightMove 4 adds the following: Step Count Metabolic Equivalent of Task (MET) metlevel (metsedentary, metlight, metmoderate, metvigorous) Light (red, green, blue, clear, ir) The Eda and activity sensor EdaMove 3 and EdaMove 4adds the following: 3

8 EDA SCL Mean Temp Mean Step Count Charging These parameters are transmitted with 1 value per minute and are subsequently evaluated using predefined algorithms by the SensorTrigger. These algorithms can be individually configured for your study and also for each individual participant within the study. When the data satisfies the requirements of the algorithm, a trigger is sent to movisensxs. Additional online parameters and trigger algorithms will be available soon. Tip: movisens can develop an algorithm for your study, or implement your existing algorithm upon request.

9 3 Instructions of Use! SensorTrigger is not a medical device.! SensorTrigger can be used with the Move 3 and Move 4, LightMove 3 and LightMove 4, EcgMove 3 and EcgMove 4 and EdaMove 3 and EdaMove 4 sensors from movisens.! SensorTrigger is used in combination with the Experience Sampling Platform movisensxs. 3! A smartphone with android 4.4 or above is required to use the SensorTrigger 5

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11 4 Scope of Delivery and Accessories This chapter gives an overview of parts that are within the scope of delivery and what accessories are available. All of these parts can be reordered as needed. Please consider the order numbers in the following paragraph. An android smartphone is required in addition to the scope of delivery. 4.1 Scope of Delivery 4 The following components are included in delivery: Article SensorTrigger Solution for Interactive Ambulatory Assessment to retrieve the sensor data on your android device and trigger forms in movisensxs. Order No Complementary Products The following products can be used together with SensorTrigger: Article Move 4 Activity Sensor Raw data acquisition: 3D Acceleration 64 Hz, Angular Rate 64 Hz, Barometric Altitude 8 Hz Order No

12 Live analysis of data Bluetooth Smart interface For use with belt or wristband Includes cradle, Micro USB cable and SensorManager software to configure the sensor and read out the data LightMove 4 Ambient Light and Activity Sensor Raw data acquisition: Ambient Light 1 Hz, 3D Acceleration 64 Hz, Angular Rate 64 Hz, Barometric Altitutde 8 Hz Live analysis of data Bluetooth Smart interface For use with belt or wristband Includes cradle, Micro USB cable and SensorManager software to configure the sensor and read out the data EcgMove 4 ECG- and Activity Sensor Raw data acquisition: ECG 1024 Hz, 3D Acceleration 64 Hz, Angular Rate 64 Hz, Barometric Altitude 8 Hz Live analysis of data Bluetooth Smart interface For use with chest belt or adhesive electrodes Includes cradle, Micro USB cable and SensorManager software to configure the sensor and read out the data EdaMove 4 EDA and Activity Sensor Raw data acquisition: EDA 32 Hz, 3D acceleration 64 Hz, Angular Rate 64 Hz, Barometric Altitude 8 Hz Live analysis of data Bluetooth Smart interface

13 For use with wristband Includes cradle, Micro USB cable and SensorManager software to configure the sensor and read out the data Move 3 Activity Sensor Raw data acquisition: 3D Acceleration 64 Hz, Barometric Altitude 8 Hz Measurement duration: 9 days (up to 2 months with re-charging) Live analysis of data Bluetooth Smart interface Attachment via clip Includes Micro USB cable and SensorManager software to configure the sensor and read out the data EcgMove 3 ECG- and Activity Sensor Raw data acquisition: ECG 1024 Hz, 3D Acceleration 64 Hz, Barometric Altitude 8 Hz Measurement duration: 3 days (up to 2 weeks with re-charging) Live analysis of data Bluetooth Smart interface For use with chest belt or adhesive electrodes Includes cradle, Micro USB cable and SensorManager software to configure the sensor and read out the data LightMove 3 Ambient Light and Activity Sensor Raw data acquisition: Ambient Light 1 Hz, 3D Acceleration 64 Hz, Barometric Altitutde 8 Hz Measurement duration: 9 days (up to 2 months with re-charging)

14 Live analysis of data Bluetooth Smart interface For use with wristband Includes cradle, Micro USB cable and SensorManager software to configure the sensor and read out the data EdaMove 3 EDA and Activity Sensor Raw data acquisition: EDA 32 Hz, 3D acceleration 64 Hz, Barometric Altitude 8 Hz Measurement duration: 5 days (up to 4 weeks with re-charging) Live analysis of data Bluetooth Smart interface For use with wristband Includes cradle, Micro USB cable and SensorManager software to configure the sensor and read out the data movisensxs Basic Experience Sampling for Android Bundle license for item results usable with unlimited number of smartphones movisensxs Gold Experience Sampling for Android Bundle license for item results usable with unlimited number of smartphones movisensxs Platinum Experience Sampling for Android Bundle license for item results usable with unlimited number of smartphones Complete Measurement System 10

15 To conduct an interactive ambulatory assessment, you need the following components: A Move 3 or Move 4, LightMove 3 or LightMove 4, EcgMove 3 or EcgMove 4, EdaMove 3 or EdaMove 4 sensor for the objective assessment of physical activity and psychophysiological parameters. The experience sampling platform movisensxs. The SensorTrigger application to evaluate the information acquired from either the physical activity sensor Move 3 or Move 4, the light and activity sensor LightMove 3 or LightMove 4, the ECG and activity sensor EcgMove 3 or EcgMove 4, or the EDA and activity sensor EdaMove 3 or EdaMove 4 and trigger forms on the Experience Sampling Platform when relevant. 4 A detailed description of these components can be found in the following documents: User Manual Move 4 User Manual LightMove 4 User Manual EcgMove 4 User Manual EdaMove 4 User Manual Move 3 User Manual LightMove 3 User Manual EcgMove 3 User Manual EdaMove 3 Online help movisensxs 11

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17 5 Usage This chapter describes how to install and use the software and defines the system requirements. 5.1 Overview The SensorTrigger evaluates sensor data captured by one of the following devices: the Activity Sensor Move 3 or Move 4, the Light and Activity Sensor LightMove 3 or LightMove 4, the ECG and Activity Sensor EcgMove 3 or EcgMove 4, or the EDA and Activity sensor EdaMove 3 or EdaMove 4 from movisens. Each sensor calculates its individual parameters (outlined in chapter 2) as it acquires and records the raw data. The sensor transmits these parameters via Bluetooth Smart in 1 value per minute periods from the selected sensor to your android smartphone. The trigger algorithm evaluates the data, and as a result of the evaluation, a trigger may activate a questionnaire on the Experience Sampling Platform movisensxs. 5 You can select from different predefined algorithms to process the sensor data. These algorithms can be configured individually for each study, or even each participant within a study. The individual algorithms are described in the next chapter. The figure on the next page shows the block diagram of the whole system. 13

18 5.2 System Requirements There are a few minimum requirements for the Smartphone: 14 Operating System: Android 4.4 or higher Minimum 100 MB internal storage. The study configuration and the study results are stored in the internal data storage. So if multimedia items are used please buy a smartphone with 4-8 GB internal storage Processor: 600 MHz or higher (recommended) Battery: 1200 mah or higher (recommended to achieve a longer battery life) A larger display size makes it easier to input text but consumes more power and is not as handy for everyday use. 4" screens are optimal. If you need to transfer the results during the study to monitor compliance, choose a device with 3G mobile connectivity. Please test the data usage and disable all automatic updates. If possible choose a mobile data flat rate. The movisensxs Application must also be installed on your smartphone.

19 5.3 Installing the Sensor Trigger Open your smartphone browser, enter the following link and click Become a Tester : Follow the instructions to download the app. 5.4 Preparing your study on movisensxs To use these features, your movisensxs account has to be upgraded to an alpha account. Please contact xs@movisens.com to enable this feature. Create a study and select the newest library version in the settings: 5 15

20 5.5 Create Sampling In the sampling section of movisensxs, there are new sensor blocks to use: 16 Sensor Trigger - Trigger: Used to receive external triggers from the SensorTrigger. Sensor Trigger Sensor Disconnected: As soon as the Sensor is disconnected from the Smartphone. Sensor Trigger Sensor Stopped: As soon as the Sensor stopped and cannot be restarted (e.g. Battery was empty). Sensor Trigger Stop Sensor: This is optional, but it enables you to stop the measurement of the sensor e.g. when the study ends. The following image illustrates a sampling scheme that utilizes the SensorTrigger.

21 5 The path in the red frame describes the necessary functionality. Everything else is optional. The sampling scheme described from left to right is performing the following functionality: In the first path, triggered by either a random time event or through the SensorTrigger, an alarm is generated and a form is started. Before generating the alarm, the application assesses the elapsed time since the previous alarm. This prevents too many triggers from occurring within a short time frame. In this example, if two triggers occur within

22 seconds (1 hour), the second trigger is blocked by the green Frequency Limit block. The second path describes an optional feature. If the SensorTrigger detects that the sensor has disconnected (e.g. the sensor was left at home) the smartphone will trigger an alarm and send a different form usually a reminder or alert that the smartphone is out of range. The minimum disconnection time (seconds) can be configured in the preferences of each algorithm. The default setting is 20 seconds. The third path describes an optional feature. If the SensorTrigger detects the sensor cannot start measuring, the smartphone will trigger an alarm. This notifies the user that measurement has stopped, and cannot be restarted. This can occur if the sensor has run out of battery, or if the sensor has been connected to a PC. After recharging the sensor, it cannot start a new measurement until the data of the old measurement is read out on the PC. The fourth path describes an optional feature. It stops the Sensor from recording on the 8 th day at 14:00 o clock. Note that once the measurement ceases, like in the previous case, it cannot record again until the existing data is read out on the PC. 5.6 Configuring the Sensor Trigger Start the SensorTrigger and select the preferences icon at the top right of the screen. To select a sensor, the sensor must be charged and within a range of around 8-10 metres. When configuring multiple connections, be sure to check the serial number on the back of the sensor. You also can configure the allowed sensor disconnection time on this screen. 18

23 Select the algorithm you want to use with the SensorTrigger. 5 The configurable parameters depend on the selected trigger algorithm and are explained in the next chapter. 19

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25 6 Trigger algorithms The following chapter describes the various algorithms which can be chosen in the SensorTrigger in full detail. These algorithms were developed for specific research projects and as such, represent a small sampling of what is possible with this innovative technology. Please contact us if you would like your own algorithm implemented, or if you have a physiological marker that you would like to utilise as a trigger. We can work with you to develop an algorithm and design an appropriate study framework. Display of all available algorithms 21 6

26 6.1 Heart Rate Algorithm Heart Rate Algorithm Main Screen Heart Rate Algorithm Preferences Sensor Requirements To use the Heart Rate algorithm, the ECG and Activity Sensor EcgMove 3 or EcgMove 4 is required Description The input for the algorithm is: Heart Rate [bpm], sample rate 1/min This algorithm sends a trigger when the participant s heart rate exceeds the threshold configured in the preferences. The sensor calculates and transmits the heart rate with a 90 second delay! 22

27 6.2 Decreased RMSSD Algorithm Decreased RMSSD Main Page Sensor Requirements To use the Decreased RMSSD algorithm, the ECG and Activity Sensor EcgMove 3 or EcgMove 4 is required Schematic Overview The following page contains a schematic diagram of the Decrease RMSSD algorithm. 23 6

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29 6.2.3 Description Heart Rate Variability (HRV) provides a snapshot of the physiological and psychological wellbeing of a person. Decreased HRV corresponds to physical and psychological stress, and baseline HRV indicates overall physical fitness. When engaged in intense physical exercise, HRV value decreases, and HRV can also decrease due to psychological stress. Periods of psychological stress such as end of year exams, unexpected bad news, or other short term stressful events have a measurable effect on HRV. Our goal with this algorithm is to detect when psychological stress causes this decreased value, and then trigger a questionnaire. HRV is measured and assessed using RMSSD (which is the square root of the mean of the squares of the successive differences inbetween adjacent heart beats). To sum up, this algorithm allows a psychologically caused decrease in RMSSD to send a trigger to movisensxs. It s been used for studies assessing psychological stress isolated from stress related to physical activity. However, this algorithm also has some limitations. Firstly, to use this algorithm effectively, a pre-study must occur to capture the relevant parameters for each participant. (More on this point later.) Secondly, despite this data, the sensor can only isolate and remove the exertion effects from the body when it s moving through space. The decreased state of RMSSD from any stationary exertion such as stationary cycling or lifting heavy objects will not be isolated and the corresponding period can be mistakenly interpreted as psychological stress. Utilizing a logic chain within movisensxs to determine whether any physical exertion occurred at the time of the alarm can counteract this problem. Simply asking if the participant experienced physical exertion as the first question, and then making the following questions visible when No is selected achieves this goal. 25 6

30 The algorithm tracks periods of Decreased RMSSD activity, and then assesses and isolates the physical causes utilizing the following steps. When the algorithm concludes the cause of Low RMSSD is from stress a trigger is sent to movisensxs. 1. The inputs for the algorithm are: HRV RMSSD [ms], sample rate 1/min HrvIsValid, sample rate 1/min Movement Acceleration [g], sample rate 1/min Decreased RMSSD Preferences 2. It utilizes the predicted average RMSSD level based on the current level of movement measured during the previous Window length of Movement Acceleration [min] to detect periods of low RMSSD that are not related to physical activity. Thus, physiological causes of low RMSSD can be isolated from psychological causes. a. This continuous prediction of RMSSD can take the form of at least two regression lines: 26 i. Predicted RMSSD = intercept + slope x movement (linear relation)

31 ii. Predicted RMSSD = intercept + slope / movement (inverse relation) b. Values for intercept and slope for each individual should be entered in the preferences section, using calibration data acquired during resting and exercise. Decreased RMSSD Preferences continued c. A RMSSD threshold should be defined for each participant, as a measurement error has to be taken into account. If the actual RMSSD falls below the Predicted RMSSD minus the threshold this minute is tagged as a Period of Low RMSSD. i. RMSSD for comparison = Predicted RMSSD - Threshold ii. The Threshold could be for example 2 times the standard error of RMSSD during resting conditions. 27 6

32 28 Decreased RMSSD Preferences continued 3. The algorithm keeps track of the number of periods (minutes) where the RMSSD is under the configured threshold. To do this, you configure the RMSSD Assessment Window - a window of time (in minutes) - and allocate the number of 1 minute periods in which the RMSSD should be below the threshold. For instance, over a 10 minute Window you may require 8 periods (minutes) of Low RMSSD that is, RMSSD that is under the configured threshold. The Length of Window and the amount of Periods can be configured manually. 4. When the configured number of periods in Low RMSSD has been detected, a trigger is sent to movisensxs. a. The total amount of prompts indicating prolonged periods of low RMSSD per day must be configured in movisensxs b. The prompts indicating prolonged periods of Low RMSSD should be interspersed with randomly triggered neutral prompts at which no Low RMSSD is present during the preceding 10 minutes.

33 c. Minimum amount of time between the prompts is: 60 minutes. Decreased RMSSD Preferences continued When no valid RMSSD values are available then no trigger will be provided (HRV data not valid = No period of Low RMSSD) Configuration As previously noted, this algorithm requires a period of pre-study to obtain the individual RMSSD, Slope, and Intercept parameters of each participant. These parameters can then be entered in the preferences section: Window length of Movement Acceleration [min] Regression method (linear or inverse) Regression Parameter slope in [ms] Regression Parameter intercept [ms/mg] or [mg/ms] Threshold for RMSSD in [ms] RMSSD Assessment window in [min] No. of periods in Low RMSSD [min] Minimum time from last Low RMSSD [min] (default 10) 29 6

34 Minimal distance between prompts in [min] (default 60) 6.3 Simple RMSSD Simple RMSSD Main Screen Sensor Requirements To use the Simple RMSSD algorithm, the ECG and Activity Sensor EcgMove 3 or EcgMove 4 is required Overview The Simple RMSSD algorithm is a basic auto-configuring version of the Decreased RMSSD algorithm. It lacks the customisation that is available in the Decreased RMSSD algorithm and uses periods of inactivity to estimate the RMSSD. The following figure shows an overview of the Simple RMSSD algorithm. The boxes in yellow show the configurable parameters. Further information on Heart Rate Variability and RMSSD is in the description of the Decreased RMSSD algorithm. 30

35 Sensor RMSSD Movement Acceleration Intensity Activity Level Detector Minimum duration in sedentary activity [min] Cool down to Sedentary Inactive Sedentary Active Cool down to Sedentary + Inactive Minimum duration in sedentary or inactivity [min] 1/0 1/0 RMSSD RMSSD mean calculation Mean RMSSD Compare RMSSD ratio to trigger movisensxs [0...1] 1/0 Active for certain time Minimum duration in low rmssd [min] movisensxs trigger 31 6

36 6.3.3 Description The inputs for the algorithm are: HRV RMSSD [ms], sample rate 1/min Movement Acceleration [g], sample rate 1/min Activity Levels (inactive, sedentary, and active) are derived from Movement Acceleration. The following cut points are used (the selection of these cut points is based on measurements performed at movisens and KIT, see 6.3.4): Inactive / Sedentary: 20 mg Sedentary / Active: 200 mg To be sure that the participant is in the desired activity level and HRV parameters have settled, cool down blocks are used and can be configured manually (Minimum duration in sedentary or inactivity [min], Minimum duration in sedentary [min]). RMSSD mean values are calculated when the participant is in the sedentary category. This assures that the RMSSD mean value is not too high or too low. This would be the case if RMSSD values in inactive or active levels were used. The RMSSD values acquired in inactive or sedentary level are then compared to a threshold, defined as a ratio between 0 and 1 (in the RMSSD ratio to trigger movisensx [0..1]), from the mean RMSSD value. If the RMSSD values are below the set threshold for a defined time period (minimum duration in low RMSSD) a trigger is sent to movisensxs. 32

37 Gait speed [m/s] Gait speed [mph] Movement Acceleration [mg] MET-Spiro MET- Compendiu Typical MovementAcceleration values Study Nr. 1 Lying - - 8,3 1,3 1,3 Sitting - - 9,5 1,2 1,3 Standing ,9 1,2 1,3 Walking - Treadmill 3 mph 1, ,5 4,5 3,5 Walking 3 mph 1, ,7 4 3,5 Brisk walking - Treadmill 3.5 mph 1,6 3,5 411,2 5 4,3 Brisk Walking 3.5 mph 1,6 3,5 423,2 4,7 4,3 Jogging - Treadmill 5 mph 2, ,8 8,3 Jogging - Treadmill 5 mph 2, ,6 8,8 8,3 Study Nr. 2 Sitting ,2 1,3 Standing ,2 1,3 Walking 1,4 3,1 367,4 4 3,5 Brisk walking 1, ,2 5,5 5 Jogging 2,9 6,5 1102,8 10,7 10,5 33 6

38 6.3.5 Configuration Simple RMSSD Preferences The following parameters can be customized for the simple rmssd algorithm: Minimum duration in sedentary or inactivity [min]: Default 10 minutes Minimum duration in sedentary activity [min]: Default 10 minutes Minimum duration in low rmssd [min]: Default 5 minutes RMSSD ratio to trigger movisensxs [0...1]: Default

39 6.4 Activity/Inactivity Algorithm Activity Inactivity Main Screen Activity Inactivity Preferences This algorithm detects periods of high and low activity in the participant. The algorithm is described in detail in the following publication: Ebner-Priemer, Ulrich W., et al. "Interactive multimodal ambulatory monitoring to investigate the association between physical activity and affect." Frontiers in psychology 3 (2012) The algorithm functions interactively, recalibrating itself based on the number of triggers sent in relation to activity and inactivity. It gradually adapts the activity thresholds to learn the higher and lower levels of each individual participant. To do this, it assesses the volume of triggers and gradually adjusts the parameters outwards or inwards to achieve a higher triggering accuracy. Sleep periods are user defined to prevent inappropriate triggers from occurring. 35 6

40 6.4.1 Sensor Requirements To use the Activity/Inactivity algorithm, the Activity Sensor Move 3 or Move 4 is required Description The input for the algorithm is: Movement Acceleration [g], sample rate 1/min 1. Calculate global activity: a. raw data for each axes sampled at 32 Hz in mg b. highpass filter (>0.1 Hz), c. rectify d. smooth by a moving average of 1Hz. e. Aggregate the three axes using vector addition 2. Aggregation over 10min segments (moving average). 3. Trigger if; a. Threshold of activity is surpassed AND no sleeping time AND last trigger was sent during the last 40 to 100 min b. Threshold of inactivity is reached AND no sleeping time AND last trigger was sent during the last 40 to 100 min c. the last trigger was sent 100 min ago 4. Store occurrence of triggers 36

41 5. Calculate the ratio between inactivity and activity episodebased triggers 6. Change thresholds IF there have been at least six triggers a. Increase thresholds for activity and inactivity by 5% IF activity/inactivity trigger ratio is above 2.05 b. Decrease thresholds for activity and inactivity by 5% IF activity/inactivity trigger ratio is below 0.95 c. the threshold for activity episodes is decreased by 5% and the threshold for inactivity episodes is increased by 5% IF the current trigger is a time-limit trigger 6.5 Sedentary Algorithm Sedentary Main Screen Sedentary Preferences Sensor Requirements To use the Sedentary Algorithm, the Activity Sensor Move 3 or Move 4 is required Overview 37 6

42 This algorithm is useful both in office workplace settings, and also to track sedentary behaviour in every life. By wearing the Move 3 or Move 4 on the thigh, this algorithm assesses the body position of a participant, then using sitting recognition, and a user defined period of sedentary activity triggers a form in movisensxs. The default minimum period of sedentary activity is 30 minutes. This can be configured within the user preferences. 6.6 Data Only Algorithm Sensor Requirements This algorithm can be utilized with any of our Move 3 or Move 4 sensor range, including the Move 3 or Move 4, LightMove 3 or LightMove 4, EcgMove 3 or EcgMove 4, EdaMove 3 or EdaMove Overview This algorithm provides a bridge to collect download sensor data in movisensxs. In the future it will be utilized for more advance features that are yet to be released. 38

43 6.7 Shake Algorithm Shake Main Screen Shake Preferences Sensor Requirements To use the Shake algorithm, any of our range of Bluetooth compatible Move 3 or Move 4 sensors can be utilised. The Move 3 or Move 4, LightMove 3 or LightMove 4, EcgMove 3 or EcgMove 4, EdaMove 3 or EdaMove 4 are compatible with the shake algorithm Overview This basic algorithm allows testing and display of the triggering function. If the connected sensor has a movement acceleration that is higher than the configured threshold (0.2g), the trigger is executed. The Sensor calculates and transmits the movement acceleration every minute. So, by shaking the sensor, it will trigger a form within the next seconds, allowing you to confirm that the functionality works. 39 6

44 6.8 Simple EDA Scl Mean Algorithm Simple EDA Scl Mean Main Screen Simple EDA Scl Mean Preferences Sensor Requirements To use the Simple EDA Scl Mean algorithm, the EDA and Activity sensor EdaMove 3 or EdaMove 4 is required Overview This basic algorithm uses changes in the skin conductance level (a good indicator of emotional arousal) to trigger a form in movisensxs. The EdaMove 3 or EdaMove 4 transmits an EdaSCL mean value every thirty seconds to the smartphone. These values are averaged after a minute and compared to the previous minute. When the value differs by the user defined percentage, a form can be triggered within movisensxs. 40

45 6.8.3 Description of Algorithm LastMinuteMean * percentage/100 < abs(lastminutemean - ActualMinuteMean) -> Trigger LastMinuteMean = The mean SCL value from the last minute ActualMinuteMean = The current SCL mean value 41 6

46 7 Legal Notes 7.1 Copyright The software is protected by copyright. Renting, exchanging, broadcasting, duplication or copies are not permitted. 7.2 Disclaimer The material in this manual is for informational purposes only. The products it describes are subject to change without prior notice.movisens makes no representations or warranties with respect to this manual or with respect to the products described herein. movisens shall not be liable for any damages, losses, costs or expenses, direct, indirect or incidental, consequential or special, arising out of, or related to the use of this material or the products described herein. 42

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48 movisens GmbH Augartenstraße Karlsruhe Germany Tel.: Fax: support@movisens.com