MoveD - Open Research Data Guidelines for Movement Laboratories

MoveD – ORD Guidelines for Swiss Movement Laboratories Section 2: Data Collection Michelle C. Haas1, Bettina B. Sommer1, Simon van Rekum2, Felix Moerman3, Eveline S. Graf1 1 ZHAW Zurich University of Applied Sciences, School of Health Sciences 2 ZHAW Zurich University of Applied Sciences, University Library 3 ZHAW Zurich University of Applied Sciences, President’s Office V4 November 2024 MoveD – Guidelines: Collect 2 1. Metadata The following metadata should be collected when collecting data for each participant separately. For better reproducibility, having more personal data is beneficial. This results in ethical and legal issues, however, when sharing these data publicly. You must therefore clarify within your institution how much, and which, personal information is to be documented. Table 1: Metadata that should be collected during data collection. Title Content/Format Comment Participant-specific information Identification number Must be encoded or anonymous Age [Years] Gender or sex (depending on the study context) • Female • Male • Diverse Height [m] 2 decimal points Weight [kg] 2 decimal points Leg length [m] 2 decimal points General information Date of data collection [YYYY-MM-DD] According to International Organization for Standardization 8601 Software(s) used for data collection • Name • Manufacturer • Version • Type of data which were collected • Data format of the raw data (xcp, etc.) Please describe the type of data which were collected in the following form: sensor type and primary outcome of the research. Examples: • Marker-based kinematics • Sensor-based kinematics • Video-based (markerless) kinematics • Surface EMG • Force plate kinetics • Spatiotemporal parameters V4 November 2024 MoveD – Guidelines: Collect 3 Hardware which was used for data collection • Name • Manufacturer • Type of data which were collected • Number and model of measurement device • Type and date of last calibration of hardware • If applicable: electrode material, shape, size • If applicable, measurement modes added to the accelerometer and gyroscopes in IMU’s (e.g. magnetometer) Please describe the type of data which were collected in the following form: sensor type and primary outcome of the research. Examples: • Marker-based kinematics • Sensor-based kinematics • Video-based (markerless) kinematics • Surface EMG • Force plate kinetics • Spatiotemporal parameters Measurement frequency [Hz] For each measurement system separately, if not identical Range of sensor (if applicable) The range of values a sensor can measure. For accelerometers the range is reported in units of g (=9.8m/s 2 ) Study-specific inclusion and exclusion criteria List of inclusion criteria List of exclusion criteria Please list all criteria that were defined during study design (a priori) If an ethics proposal had to be submitted, please list the same inclusion and exclusion criteria in this section. Description of tasks • List of tasks including description of how they were performed • Naming convention/ meaning of the abbreviations in the file names Randomization of task order (yes/no) If walking or running was performed: indicate gait speed If EMG was measured: refer to the CEDE-Check for information of what to report regarding the task (Besomi et al., 2024) V4 November 2024 MoveD – Guidelines: Collect 4 Sensor/probe placement • List of placed sensors/probes including specific location and orientation of sensor/probe • If applicable: interelectrode distance • If applicable: sensor cap type If sEMG data is collected, use SENIAM guidelines to report sensor location and orientation. Refer to Standards for Reporting EMG Data https://isek.org/emg-standards/ (Merletti, 1999) and the CEDE-Checklist (Besomi et al., 2024). Technical guidelines for ultrasound can be found on the essr website Amplification of device (if applicable) Please only describe discrete values Calibration file (If available) File where calibration values are exported before data collection Please provide the corresponding file as csv Calibration pose for subjectspecific model (if applicable) Which pose was used for calibration e.g. T-Pose, N-Pose More information on subject-specific kinematic model calibration with IMU’s can be found in Cereatti et al. (2024). Electrode-Skin Impedance (if applicable) [Ω] 2 decimal points Signal-to-noise ratio (if applicable) General definition: 𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃 𝑃𝑃𝑜𝑜 𝑡𝑡ℎ𝑃𝑃 𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠 𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃 𝑃𝑃𝑜𝑜 𝑏𝑏𝑠𝑠𝑏𝑏𝑏𝑏𝑠𝑠𝑃𝑃𝑃𝑃𝑏𝑏𝑠𝑠𝑏𝑏 𝑠𝑠𝑃𝑃𝑠𝑠𝑠𝑠𝑃𝑃 Example for EMG: EMG signal during muscle contraction 𝑏𝑏𝑠𝑠𝑃𝑃𝑠𝑠𝑠𝑠𝑡𝑡𝑃𝑃𝑏𝑏 𝑃𝑃𝑠𝑠𝑃𝑃𝑏𝑏𝑡𝑡𝑃𝑃𝑠𝑠𝑏𝑏𝑠𝑠𝑠𝑠 𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠 𝑏𝑏𝑏𝑏𝑃𝑃𝑠𝑠𝑠𝑠𝑠𝑠 𝑚𝑚𝑏𝑏𝑠𝑠𝑏𝑏𝑠𝑠𝑃𝑃 𝑠𝑠𝑡𝑡 𝑃𝑃𝑃𝑃𝑠𝑠𝑡𝑡 2 decimal points Mode of measurement device (if applicable) Example for ultrasound (depending on the device): • amplitude mode • brightness mode • motion mode • pulsed wave doppler mode • etc. Example for IMU : • logging Technical guidelines for ultrasound can be found on the essr website V4 November 2024 MoveD – Guidelines: Collect 5 • streaming Dynamic range of measurement device (if applicable) [dB] 2 decimal points Penetration depth (if applicable) [m] 2 decimal points Preparation of the subject (if applicable) • Skin preparation (shaving, application of alcohol, gel, etc.) Reference electrode (if applicable) • Specify which electrode was chosen as the reference Synchronisation method within a measurement device Describe how multiple units of the same measurement device were synchronised. Synchronisation method for multiple measurement devices (if applicable) Describe how multiple devices were synchronised: • Is the sampling frequency equal? If not, how is the data re-sampled? • Trigger signal (how is the delay determined?) • Time stamp • Post-processing synchronisation: align signals based on a point of interest (e.g. peak) Image resolution (if applicable) • Field of view [m] 2 decimal points Potential influencing factors on quality of measurement • Noise • Bias • Environmental factors • Etc. The clinical movement analysis society of UK and Ireland defined standards in a clinical setting which can be used as a guide what information should additionally be reported on data collection (Stewart et al., 2023). V4 November 2024 MoveD – Guidelines: Collect 6 2. Marker model When data is collected with a marker-based measurement system, it is important for the traceability and subsequent use of the data to have a clear understanding of the marker placement. The following information should be collected for later and then be published in a repository together with the data. • Name of the marker model • If available: Reference to the marker model • List of all markers o Abbreviation of the marker o Name of the segment o Explanation of the marker placement; if the marker is placed on a plate / stick, please explain positioning of the marker plate / stick • Anonymized photo of a participant with attached markers from anterior, posterior and lateral 2.1 Example: Name: Conventional Gait Model (CGM) for lower extremities (Leboeuf et al., 2019), available from https://pycgm2.netlify.app/ressources/palpation/ Marker name Body structure/segment Palpation and placement LASI / RASI Left / Right Anterior Superior Iliac spine Palpate from distal, most prominent projection medial. LPSI / RPSI Left / Right Posterior Superior Iliac spine Palpate from distal, bony prominence directly over iliosacral recesses (visible in some people). LTHI / RTHI Left / Right Thigh ½ down lateral thigh. The anterior-posterior position is decisive. Not on the muscle belly of the vastus lateralis. Aligned in the plane so that the marker contains the hip and knee joint centres and the lateral femoral epicondyle. LTHAP / RTHAP Left / Right Thigh ⅓ of the way down to the centre of the anterior thigh (femur length defined from the ASIS to the epicondyle) LTHAD / RTHAD Left / Right Thigh ⅔ of the way down to the centre of the anterior thigh (femur length defined from the ASIS to the epicondyle) LKNE / RKNE Left / Right Knee Lateral Epicondyle While the participant is standing with the knees in a neutral position, palpate the fibula head, move upwards and cross the joint line. The lateral femoral epicondyle is then approximately one finger width forward. Place the marker on the most prominent aspect. LKNM / RKNM Left / Right Knee Medial Epicondyle While the participant is standing with the knees in a neutral position, follow the femur distally along the most distal third of the medial femur until you feel the adductor tubercle. The small bony prominence V4 November 2024 MoveD – Guidelines: Collect 7 approximately one thumb width distally and half a thumb width anteriorly is the medial epicondyle. Place the marker on the most prominent aspect. Marker name Body structure / segment Palpation and placement LTIB / RTIB Left / Right Tibia Place the marker on ½ of tibia aligned in the plane so that the marker contains the knee and ankle joint centres and the flexion/extension axis of the upper ankle joint. As a rule, the axis of the upper ankle joint between the medial and lateral malleolus is rotated outwards by 5°-15° in relation to the flexion axis of the knee joint. The placement of the marker should reflect this. LTIAP / RTIAP Left / Right Tibia Tibial tubercle (prominence on the superior anterior tibia). The marker is placed 2cm distal to the prominence of the tibial tubercle. LTIAD / RTIAD Left / Right Tibia ½ down the lower leg on the crest of the tibia. LANK / RANK Left / Right Ankle Malleolus lateralis, most prominent point, along an imaginary line running through the transmalleolar axis. LMED / RMED Left / Right Ankle Malleolus medialis, most prominent point, along an imaginary line running through the transmalleolar axis. LHEE / RHEE Left / Right Heel On the posterior calcaneus at the most prominent aspect. Use the calliper to determine the height. LTOE / RTOE Left / Right Toe On the back of the foot above the head of metatarsal II in the center from medial to lateral. LVMH / RVMH Left / Right Foot On the line of metatarsal V (dorsal aspect) lateral to the extensor digitorum longus tendon. LFMH / RFMH Left / Right Foot On the line of the metatarsophalangeal joint I (dorsal aspect), medial to extensor halluces longus tendon LSMH / RSMH Left / Right Foot on the line of the metatarsophalangeal joint II, center of the bone (medial to lateral) V4 November 2024 MoveD – Guidelines: Collect 8 3. Informed consent with reference to data sharing 3.1 Resources of swissethics Swissethics provides a decision tree for finding the right template. The templates can be downloaded directly through the links provided in the decision tree. The decision tree can be found at https://swissethics.ch/assets/other_study_documents/decisiontree_v2.0_28.06.22_en.pdf or the German, French or Italian version at https://swissethics.ch/templates . If you are re-using data, you have to choose “No” in the first question “Is the research project a project involving living persons?” to get to the correct follow-up questions. Also, at https://swissethics.ch/templates you will find more templates in the national languages of Switzerland, e.g. for informed consent. As is stated in the swissethics template for submitting a “Further use with consent” project as per HRA chapter 4 and HRO chapter 3: “For the further use of coded, health-related personal data (HRA Art. 32), the right of objection is sufficient.” Patients do not therefore have to give explicit consent. General consent from the patient is also possible. A template for general consent can be found at https://swissethics.ch/documents/generalkonsent. 3.1.1 Example text for informed consent forms for encoded data Example text for informed consent forms in German, French, and Italian for encoded data can be found in the swissethics templates at https://swissethics.ch/en/templates/studieninformationen-und-einwilligungen Please refer to these templates and pay special attention to the sections on data processing, encoding, data protection, and data protection for further use! V4 November 2024 MoveD – Guidelines: Collect 9 4. References: Besomi, M., Devecchi, V., Falla, D., McGill, K., Kiernan, M. C., Merletti, R., Van Dieën, J. H., Tucker, K., Clancy, E. A., Søgaard, K., Hug, F., Carson, R. G., Perreault, E., Gandevia, S., Besier, T., Rothwell, J. C., Enoka, R. M., Holobar, A., Disselhorst-Klug, C., … Hodges, P. W. (2024). Consensus for experimental design in electromyography (CEDE) project: Checklist for reporting and critically appraising studies using EMG (CEDE-Check). Journal of Electromyography and Kinesiology, 76, 102874. https://doi.org/10.1016/j.jelekin.2024.102874 Cereatti, A., Gurchiek, R., Mündermann, A., Fantozzi, S., Horak, F., Delp, S., & Aminian, K. (2024). ISB recommendations on the definition, estimation, and reporting of joint kinematics in human motion analysis applications using wearable inertial measurement technology. Journal of Biomechanics, 173, 112225. https://doi.org/10.1016/j.jbiomech.2024.112225 International Organization for Standardization. (2024). Date and time format. (ISO Standard No. 8601). https://www.iso.org/iso-8601-date-and-time-format.html Leboeuf, F., Baker, R., Barré, A., Reay, J., Jones, R., & Sangeux, M. (2019). The conventional gait model, an open-source implementation that reproduces the past but prepares for the future. Gait & Posture, 69, 235–241. https://doi.org/10.1016/j.gaitpost.2019.04.015 Merletti, R. (1999). Standards for Reporting EMG data. Journal of Electromyography and Kinesiology, 9(1):III-IV. Stewart, C., Eve, L., Durham, S., Holmes, G., Stebbins, J., Harrington, M., Corbett, M., Kiernan, D., Kidgell, V., Jarvis, S., Daly, C., & Noble, J. (2023). Clinical Movement Analysis Society – UK and Ireland: Clinical Movement Analysis Standards. Gait & Posture, 106, 86–94. https://doi.org/10.1016/j.gaitpost.2023.08.006