Literature DB >> 20934942

Low-power wireless micromanometer system for acute and chronic bladder-pressure monitoring.

Steve J A Majerus1, Paul C Fletter, Margot S Damaser, Steven L Garverick.   

Abstract

This letter describes the design, fabrication, and testing of a wireless bladder-pressure-sensing system for chronic, point-of-care applications, such as urodynamics or closed-loop neuromodulation. The system consists of a miniature implantable device and an external RF receiver and wireless battery charger. The implant is small enough to be cystoscopically implanted within the bladder wall, where it is securely held and shielded from the urine stream. The implant consists of a custom application-specific integrated circuit (ASIC), a pressure transducer, a rechargeable battery, and wireless telemetry and recharging antennas. The ASIC includes instrumentation, wireless transmission, and power-management circuitry, and on an average draws less than 9 μA from the 3.6-V battery. The battery charge can be wirelessly replenished with daily 6-h recharge periods that can occur during the periods of sleep. Acute in vivo evaluation of the pressure-sensing system in canine models has demonstrated that the system can accurately capture lumen pressure from a submucosal implant location.

Entities:  

Mesh:

Year:  2010        PMID: 20934942     DOI: 10.1109/TBME.2010.2085002

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  20 in total

1.  Real-Time Classification of Bladder Events for Effective Diagnosis and Treatment of Urinary Incontinence.

Authors:  Robert Karam; Dennis Bourbeau; Steve Majerus; Iryna Makovey; Howard B Goldman; Margot S Damaser; Swarup Bhunia
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-18       Impact factor: 4.538

2.  Wireless, Ultra-Low-Power Implantable Sensor for Chronic Bladder Pressure Monitoring.

Authors:  Steve J A Majerus; Steven L Garverick; Michael A Suster; Paul C Fletter; Margot S Damaser
Journal:  ACM J Emerg Technol Comput Syst       Date:  2012-06-01       Impact factor: 1.420

3.  Real-time, autonomous bladder event classification and closed-loop control from single-channel pressure data.

Authors:  Robert Karam; Swarup Bhunia; Steve Majerus; Steven W Brose; Margot S Damaser; Dennis Bourbeau
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

4.  Conditional Electrical Stimulation in Animal and Human Models for Neurogenic Bladder: Working Toward a Neuroprosthesis.

Authors:  C R Powell
Journal:  Curr Bladder Dysfunct Rep       Date:  2016-10-24

5.  Wireless Implantable Pressure Monitor for Conditional Bladder Neuromodulation.

Authors:  Steve Majerus; Iryna Makovey; Hui Zhui; Wen Ko; Margot S Damaser
Journal:  IEEE Biomed Circuits Syst Conf       Date:  2015-12-07

6.  Is submucosal bladder pressure monitoring feasible?

Authors:  Anisha S Basu; Steve Majerus; Elizabeth Ferry; Iryna Makovey; Hui Zhu; Margot S Damaser
Journal:  Proc Inst Mech Eng H       Date:  2018-01-29       Impact factor: 1.617

7.  Development of an Implantable Wireless and Batteryless Bladder Pressure Monitor System for Lower Urinary Tract Dysfunction.

Authors:  Yihua Zhong; Bolin Qian; Yaguang Zhu; Zhaohui Ren; Junming Deng; Jinghua Liu; Qianrui Bai; Xu Zhang
Journal:  IEEE J Transl Eng Health Med       Date:  2019-10-14       Impact factor: 3.316

8.  Sensors Selection for Continuous Monitoring of Bowel State and Activity.

Authors:  Aref Smiley; Steve J A Majerus; Ian S McAdams; Brett Hanzlicek; Dennis Bourbeau; Margot S Damaser
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

9.  At-home genital nerve stimulation for individuals with SCI and neurogenic detrusor overactivity: A pilot feasibility study.

Authors:  Dennis J Bourbeau; Kenneth J Gustafson; Steven W Brose
Journal:  J Spinal Cord Med       Date:  2018-01-15       Impact factor: 1.985

Review 10.  Implantable Bladder Sensors: A Methodological Review.

Authors:  Mathias Naangmenkpeong Dakurah; Chiwan Koo; Wonseok Choi; Yeun-Ho Joung
Journal:  Int Neurourol J       Date:  2015-09-22       Impact factor: 2.835

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