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Part 1: Document Description
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Citation |
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Title: |
Heel pain detection using signal electromyography (EMG) and NCV |
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Identification Number: |
doi:10.34820/FK2/FOYDWY |
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Distributor: |
Telkom University Dataverse |
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Date of Distribution: |
2022-04-02 |
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Version: |
1 |
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Bibliographic Citation: |
Mukhtar, Husneni; Dien Rahmawati; Fathurrahman Raditya, 2022, "Heel pain detection using signal electromyography (EMG) and NCV", https://doi.org/10.34820/FK2/FOYDWY, Telkom University Dataverse, V1 |
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Citation |
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Title: |
Heel pain detection using signal electromyography (EMG) and NCV |
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Identification Number: |
doi:10.34820/FK2/FOYDWY |
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Authoring Entity: |
Mukhtar, Husneni (Fakultas Teknik Elektro) |
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Dien Rahmawati (Fakultas Teknik Elektro) |
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Fathurrahman Raditya (Fakultas Teknik Elektro) |
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Distributor: |
Telkom University Dataverse |
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Access Authority: |
Mukhtar, Husneni |
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Depositor: |
Mukhtar, Husneni |
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Date of Deposit: |
2022-04-02 |
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Study Scope |
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Keywords: |
Engineering, Medicine, Health and Life Sciences |
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Abstract: |
Heel pain is pain caused by excessive pressure such as running and wearing narrow shoes. Several studies of heel pain have been carried out especially related to the diagnosis of the cause of pain. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Label: |
Data EMG and NCV.xlsx |
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Text: |
plantar part |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |