Purpose: The objective of the present study is to test the efficiency and practicality of a new artificial sphincter “BR - SL - AS – 904” in the control of urinary incontinence in post - PR patients and to evaluate their complications. Patients and Methods: Fifteen patients with incontinence after one year of radical prostatectomy were included prospectively. All patients underwent artificial urethral sphincter (AUS) implant “BR - SL - AS – 904” according to established technique. Independent variables such as free urinary flow, PAD weight test, ICIQ - SF score and urinary symptoms through the IPSS score were compared in different follow-up moments. Results: Patients submitted to AUS implantation did not present trans - operative or post - operative complications related to the surgical act such as: infection, hematoma, erosion or urinary retention. Device was inert to the body during the follow-up, showing an excellent adaptation of the patients, besides the easy handling. The mean age was 68.20 years 40% of the patients had systemic arterial hypertension, 6.7% diabetes mellitus, 6.7% were hypertensive and diabetic, 13.4% were hypertensive, had diabetes and hypercholesterolemia and 26.7% patients had no comorbidities. It was evidenced that the urinary flow peak during the follow-up remained stable. Decreased averages and median PAD weight test were 135.19 to 75.72 and 106.00 to 23.50, respectively. The IPSS score decreased and the quality of life increased (12.33 to 3.40 and 2.50 to 3.20 respectively). The ICQF - SF questionnaire score also showed a decrease, ranging from 16, 71 to 7.33. Conclusion: The artificial sphincter implant “BR - SL - AS 904” was reproducible, safe and effective in the control of urinary incontinence in post - PR patients.

Low Resolution Thermal Array Sensors are widely used in several applications in indoor environments. In particular, one of these cheap, small and unobtrusive sensors provides a low-resolution thermal image of the environment and, unlike cameras; it is capable to detect human heat emission even in dark rooms. The obtained thermal data can be used to monitor older seniors while they are performing daily activities at home, to detect critical situations such as falls. Most of the studies in activity recognition using Thermal Array Sensors require human detection techniques to recognize humans passing in the sensor field of view. This paper aims to improve the accuracy of the algorithms used so far by considering the temperature environment variation. This method leverages an adaptive background estimation and a noise removal technique based on Kalman Filter. In order to properly validate the system, a novel installation of a single sensor has been implemented in a smart environment: the obtained results show an improvement in human detection accuracy with respect to the state of the art, especially in case of disturbed environments.

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