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Urodynamic Studies: Uroflowmetry01:19

Urodynamic Studies: Uroflowmetry

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Uroflowmetry is a non-invasive urodynamic test designed to measure various aspects of urination, including volume, flow rate, and the time to void. This test is crucial for diagnosing and assessing conditions such as bladder outlet obstruction, bladder dysfunction, incomplete bladder emptying, incontinence, and urinary tract blockages caused by benign prostatic hyperplasia (BPH) and urethral strictures.Pre-Test Instructions:Before a uroflowmetry test, patients are typically advised to drink...
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Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

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To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
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Heart Sounds01:15

Heart Sounds

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Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V)...
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Related Experiment Video

Updated: Aug 29, 2025

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Automatic Classification of Audio Uroflowmetry with a Smartwatch.

Girish Narayanswamy, Laura Arjona, Luis E Diez

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
    Summary

    Smartwatch audio can now classify urinary voiding signals as normal or abnormal using machine learning. This technology offers a potential new tool for urology telemedicine, especially in remote areas.

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    Area of Science:

    • Biomedical Engineering
    • Urology
    • Machine Learning

    Background:

    • Voiding dysfunctions are common urological conditions.
    • Uroflowmetry is a standard diagnostic tool, but requires specialized equipment.
    • Machine learning has shown promise in analyzing medical data.

    Purpose of the Study:

    • To investigate the use of smartwatch audio for classifying voiding signals.
    • To develop an automated system for detecting normal versus abnormal voiding patterns.
    • To assess the feasibility of using ubiquitous audio capture devices for urological diagnostics.

    Main Methods:

    • Utilized the UroSound platform to collect smartwatch audio data.
    • Applied classical machine learning techniques for signal classification.
    • Trained and evaluated multiple classification models, including ensemble methods.

    Main Results:

    • Achieved a maximal test accuracy of 86.16% in classifying voiding signals.
    • Demonstrated the effectiveness of ensemble methods for this classification task.
    • Validated the potential of audio analysis for detecting voiding abnormalities.

    Conclusions:

    • Smartwatch audio analysis is a viable method for classifying voiding signals.
    • This approach can supplement traditional diagnostic tools in urology.
    • The UroSound platform offers a promising solution for urology telemedicine, particularly in resource-limited settings.