Published on in Vol 7, No 9 (2019): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14172, first published .
A Tablet-Based App for Carpal Tunnel Syndrome Screening: Diagnostic Case-Control Study

A Tablet-Based App for Carpal Tunnel Syndrome Screening: Diagnostic Case-Control Study

A Tablet-Based App for Carpal Tunnel Syndrome Screening: Diagnostic Case-Control Study

Journals

  1. Kuroiwa T, Nimura A, Takahashi Y, Sasaki T, Koyama T, Okawa A, Fujita K. Device Development for Detecting Thumb Opposition Impairment Using Carbon Nanotube-Based Strain Sensors. Sensors 2020;20(14):3998 View
  2. Poss-Doering R, Kuehn L, Kamradt M, Glassen K, Wensing M. Applying Digital Information Delivery to Convert Habits of Antibiotic Use in Primary Care in Germany: Mixed-Methods Study. Journal of Medical Internet Research 2020;22(10):e18200 View
  3. Zhang M, Yu J, Shen W, Zhang Y, Xiang Y, Zhang X, Lin Z, Yan T. A mobile app implementing the international classification of functioning, disability and health rehabilitation set. BMC Medical Informatics and Decision Making 2020;20(1) View
  4. Poß-Doering R, Kuehn L, Kamradt M, Glassen K, Fleischhauer T, Kaufmann-Kolle P, Koeppen M, Wollny A, Altiner A, Wensing M. Converting habits of antibiotic use for respiratory tract infections in German primary care (CHANGE-3) - process evaluation of a complex intervention. BMC Family Practice 2020;21(1) View
  5. Szklener S, Szklener K, Rejdak K. Smartphone-based app for Carpal tunnel syndrome testing - primary study. (Preprint). JMIR Formative Research 2020 View
  6. Koyama T, Sato S, Toriumi M, Watanabe T, Nimura A, Okawa A, Sugiura Y, Fujita K. A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study. JMIR mHealth and uHealth 2021;9(3):e26320 View
  7. Watanabe T, Koyama T, Yamada E, Nimura A, Fujita K, Sugiura Y. The Accuracy of a Screening System for Carpal Tunnel Syndrome Using Hand Drawing. Journal of Clinical Medicine 2021;10(19):4437 View
  8. Gu Y, Lu F, Cui S, Zhao H, Yuan Z, Parameshachari B. Clinical Value Analysis of High-Frequency Ultrasound Combined with Carpal Dorsiflexion Electrophysiological Detection in the Diagnosis of Early Carpal Tunnel Syndrome. BioMed Research International 2022;2022:1 View
  9. van Eijck S, Janssen D, van der Steen M, Delvaux E, Hendriks J, Janssen R. Digital Health Applications to Establish a Remote Diagnosis of Orthopedic Knee Disorders: Scoping Review. Journal of Medical Internet Research 2023;25:e40504 View
  10. Koyama T, Fujita K, Watanabe M, Kato K, Sasaki T, Yoshii T, Nimura A, Sugiura Y, Saito H, Okawa A. Cervical Myelopathy Screening with Machine Learning Algorithm Focusing on Finger Motion Using Noncontact Sensor. Spine 2022;47(2):163 View
  11. Watanabe T, Xia C, Fujita K, Sugiura Y. Screening for Carpal Tunnel Syndrome Using Daily Behavior on Mobile Devices. Computer 2023;56(9):62 View
  12. Ozdag Y, Hu Y, Hayes D, Manzar S, Akoon A, Klena J, Grandizio L. Sensitivity and Specificity of Examination Maneuvers for Carpal Tunnel Syndrome: A Meta-Analysis. Cureus 2023 View

Books/Policy Documents

  1. Niwa M, Hara Y. Mobile Health (mHealth). View