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8,481 to 8,490 of 13,103 Results
Data EMG and NCV.xlsx
MS Excel Spreadsheet - 11.5 KB - MD5: 444b8a5d65292a2c12a097024a9da746
plantar part
Data Azimuth dan Altitude dari Suncalc
Apr 2, 2022 - DIEN RAHMAWATI Dataverse
RAHMAWATI, DIEN, 2022, "Data Azimuth dan Altitude dari Suncalc", https://doi.org/10.34820/FK2/EYFJBB, Telkom University Dataverse, V1, UNF:6:wTMKBWmqcBCwvV2SGMky/A== [fileUNF]
Data Azimuth dan Altitude dari Suncalc
2. Data Azimuth dan Altitude_Suncalc.tab
Tab-Delimited - 3.0 KB - MD5: 7c7d031b927ddff98c702c91e12f4547
Data Azimuth dan Altitude dari Suncalc
Data Heart Rate dan SpO2
Apr 2, 2022 - DIEN RAHMAWATI Dataverse
RAHMAWATI, DIEN, 2022, "Data Heart Rate dan SpO2", https://doi.org/10.34820/FK2/QFL4QY, Telkom University Dataverse, V1
Data heart rate dan SpO2 dari subjek penelitian.
1. Data Heart Rate dan Saturasi Oksigen.xlsx
MS Excel Spreadsheet - 18.1 KB - MD5: 78c5c7259ae9a680509c8350ff19d1b2
Data Heart Rate dan SpO2
FPI-6 assessment of foot posture based on 3D photogrammetry
FPI-6 assessment of foot posture based on 3D photogrammetry
Apr 2, 2022 - Husneni Mukhtar Dataverse
Willy Anugrah Cahyadi; Suto Setiyadi; Husneni Mukhtar, 2022, "FPI-6 assessment of foot posture based on 3D photogrammetry", https://doi.org/10.34820/FK2/H3IL7I, Telkom University Dataverse, V1
Video (frames) data set FPI-6 is used for assessing the foot posture of human based on photogrammetry, especially for 2 criteria of FPI-6. These criteria need palpation from the expert (doctor), hence a 3D photogrammetry reconstruction could help to analyse the surface of foot. D...
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video_20201215_135854_frame00000.jpg
JPEG Image - 168.9 KB - MD5: b88eebd4c8dcf352a28db8e13c4c5b69
video_20201215_135854_frame00001.jpg
video_20201215_135854_frame00001.jpg
JPEG Image - 148.7 KB - MD5: 8f1bff84ed72238673793282eaf0785d
video_20201215_135854_frame00002.jpg
video_20201215_135854_frame00002.jpg
JPEG Image - 142.2 KB - MD5: 441ba143bf52db87084bd4c19cc0f3c4
video_20201215_135854_frame00003.jpg
video_20201215_135854_frame00003.jpg
JPEG Image - 146.4 KB - MD5: b577f3861304ca690f193bef30d2ecb7
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