Noninvasive Wireless Sensor PFMT Device for Pelvic Floor Muscle Training

Urinary incontinence is a common problem among adults. Studies have shown up to 70% improvement in stress incontinence symptoms following appropriately performed pelvic floor exercise. This improvement is evident across all age groups. In this study, we cooperated with a doctor of the Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taiwan. We developed a noninvasive device with the purpose of helping patients commence and perform pelvic floor muscle training (PFMT). This device consists of a PFMT device, an Arduino control board, a force sensor, a Bluetooth device, and an SD card. The objectives of this study are to train patients to inhibit detrusor contraction voluntarily and to contract periurethral muscles selectively. The system records and analyzes sensor data and provides voice prompts during PFMT exercise for patients at hospitals or their homes. Meanwhile, it tracks patients' PFMT exercise at home, and doctors can contact patients for additional visitation(s) if necessary.

[1]  L. Stothers,et al.  The status of pelvic floor muscle training for women. , 2010, Canadian Urological Association journal = Journal de l'Association des urologues du Canada.

[2]  C. Davis,et al.  Why Older Community‐Dwelling Adults Do Not Discuss Urinary Incontinence with Their Primary Care Physicians , 2001, Journal of the American Geriatrics Society.

[3]  K. alik An efficient k'-means clustering algorithm , 2008 .

[4]  T. Tarpey Linear Transformations and the k-Means Clustering Algorithm , 2007, American Statistician.

[5]  K. Hunter,et al.  Conservative management for postprostatectomy urinary incontinence. , 2007, The Cochrane database of systematic reviews.

[6]  G. Rücker,et al.  Pelvic floor muscle training versus other active treatments for urinary incontinence in women , 2014 .

[7]  E Jean C Hay-Smith,et al.  Pelvic floor muscle training for prevention and treatment of urinary and faecal incontinence in antenatal and postnatal women. , 2012, The Cochrane database of systematic reviews.

[8]  K. Hunter,et al.  PELVIC FLOOR MUSCLE TRAINING TO IMPROVE URINARY INCONTINENCE AFTER RADICAL PROSTATECTOMY: A SYSTEMATIC REVIEW OF EFFECTIVENESS , 2007, BJU international.

[9]  G. Willy Davila,et al.  Nonsurgical Outpatient Therapies for the Management of Female Stress Urinary Incontinence: Long-Term Effectiveness and Durability , 2011, Advances in urology.

[10]  Jian Pei,et al.  Continuous K-Means Monitoring with Low Reporting Cost in Sensor Networks , 2009, IEEE Transactions on Knowledge and Data Engineering.

[11]  Aaron M. Cohen,et al.  k-Information Gain Scaled Nearest Neighbors: A Novel Approach to Classifying Protein-Protein Interaction-Related Documents , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[12]  C. Glazener,et al.  Conservative management for post prostatectomy urinary incontinence. , 2001, The Cochrane database of systematic reviews.

[13]  R. Schwendimann,et al.  Urinary Incontinence in Hospitalised Elderly Patients: Do Nurses Recognise and Manage the Problem? , 2011, Nursing research and practice.

[14]  K. Grimmer,et al.  Pelvic floor muscle training and adjunctive therapies for the treatment of stress urinary incontinence in women: a systematic review , 2006, BMC women's health.

[15]  Yi Hong,et al.  Learning Assignment Order of Instances for the Constrained K-Means Clustering Algorithm , 2009, IEEE Trans. Syst. Man Cybern. Part B.

[16]  M. Kashanian,et al.  Evaluation of the effect of pelvic floor muscle training (PFMT or Kegel exercise) and assisted pelvic floor muscle training (APFMT) by a resistance device (Kegelmaster device) on the urinary incontinence in women: a randomized trial. , 2011, European journal of obstetrics, gynecology, and reproductive biology.

[17]  S. Datta,et al.  Pelvic floor muscle training in combination with another therapy compared with the other therapy alone for urinary incontinence in women , 2010 .

[18]  Bhavani M. Thuraisingham,et al.  Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints , 2011, IEEE Transactions on Knowledge and Data Engineering.

[19]  Hui Xiong,et al.  K-means clustering versus validation measures: a data distribution perspective , 2006, KDD '06.

[20]  Andrea Vattani k-means Requires Exponentially Many Iterations Even in the Plane , 2011, Discret. Comput. Geom..

[21]  C. Dumoulin,et al.  Pelvic floor muscle training versus no treatment for urinary incontinence in women. A Cochrane systematic review. , 2008, European journal of physical and rehabilitation medicine.

[22]  Liu Bing-xiang,et al.  An incremental algorithm of support vector machine based on distance ratio and k nearest neighbor , 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.

[23]  Shiliang Sun,et al.  An adaptive k-nearest neighbor algorithm , 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

[24]  J. Lukban Transurethral Radiofrequency Collagen Denaturation for Treatment of Female Stress Urinary Incontinence: A Review of the Literature and Clinical Recommendations , 2011, Obstetrics and gynecology international.