473 research outputs found
Π Π°ΡΡΠ΅Ρ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ ΠΊΠ°ΠΊ ΡΠ°ΠΊΡΠΎΡΠ° ΡΠΈΡΠΊΠ° ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΏΠ΅ΡΠΈΠΏΡΠΎΡΠ΅Π·Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΏΠΎΡΠ»Π΅ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ ΡΠΏΠ΅ΠΉΡΠ΅ΡΠ° ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΡΡΡΡΠ°Π²Π°
Background. Patient-related risk factors for periprosthetic joint infection (PJI) are currently investigated in detail. However, the influence of those factors on PJI recurrence and their confounding effect was not investigated. Identifying factors that influence PJI recurrence and establishing the role of each risk factor are important.
The study aimed to analyze the comorbidity structure in patients with knee PJI and create, based on obtained data, a rating scale that allows predicting the probability of PJI recurrence after spacer implantation.
Methods. A single-center study was conducted based on retrospective data of 161 patients with PJI after primary total knee arthroplasty treated with staged reimplantation from January 2007 to January 2017. To clarify comorbidity structure and the most important risk factors, all patients were divided into two groups: patients with PJI recurrence after spacer implantation (group 1, n = 48) and patients who successfully passed spacer implantation (n = 113, group 2). Based on the obtained data, the frequency of comorbidities was analyzed. The list included 17 points that characterized the presence and severity of different comorbidities. Then, we conducted a logistic regression analysis to identify the significance of each factor and thresholds for the comorbidity index (CI) for the interpretation of the final score. With the presented scale, spacer implantation in the compared groups was analyzed.
Results. The most significant comorbidities were anemia, chronic kidney disease, obesity, and cardiovascular pathology. The CI thresholds were calculated, which allowed interpretation of the obtained score. The distribution of patients by risk categories within each group was also analyzed, and differences between groups were determined. The CI value corresponding to the minimal risk of PJI recurrence was more common (p0.0001) in group 1. Moreover, more than half of the patients with failed spacer implantation had a high risk of PJI recurrence according the CI value, and only 6.2% of patients who had successful treatment had CI high value (p0.0001).
Conclusions. The multivariate analysis of the presence and severity of concomitant pathologies enabled the development of a comorbidity scale with the calculation of an integral indicator (comorbidity index) and establishment of its threshold values. The proposed CI could be the basis for a combined relapse risk calculator and an algorithm for choosing the surgical treatment strategy in patients with knee PJI, which requires further investigation.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΠΎ ΠΈΠ·ΡΡΠ΅Π½Ρ ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠΌ ΡΠ°ΠΊΡΠΎΡΡ, ΠΏΠΎΠ²ΡΡΠ°ΡΡΠΈΠ΅ ΡΠΈΡΠΊ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΠΏΠ΅ΡΠΈΠΏΡΠΎΡΠ΅Π·Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ (ΠΠΠ), ΠΎΠ΄Π½Π°ΠΊΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠ΅Ρ
ΠΆΠ΅ ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π½Π° ΡΠΈΡΠΊ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΊΡΠΌΡΠ»ΡΡΠΈΠ²Π½ΡΠΉ ΡΡΡΠ΅ΠΊΡ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π½Π° ΡΠΈΡΠΊ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΈΠ·ΡΡΠ΅Π½Ρ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ.
Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΡΡΡΠΊΡΡΡΡ ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠ΅ΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΠΠ ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΡΡΡΡΠ°Π²Π° ΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΡΠΎΠ·Π΄Π°ΡΡ ΠΎΡΠ΅Π½ΠΎΡΠ½ΡΡ ΡΠΊΠ°Π»Ρ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΡΡ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΏΠΎΡΠ»Π΅ ΡΠ°Π½ΠΈΡΡΡΡΠ΅Π³ΠΎ ΡΡΠ°ΠΏΠ° ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ.
ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π Π΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΎΠ΄Π½ΠΎΡΠ΅Π½ΡΡΠΎΠ²ΠΎΠ΅ ΠΊΠΎΠ³ΠΎΡΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΎ Π½Π° ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΠΈΠ· ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡΡ
ΠΎ 161 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ΅ Ρ ΠΠΠ ΠΏΠΎΡΠ»Π΅ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠ½Π΄ΠΎΠΏΡΠΎΡΠ΅Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΡΡΡΡΠ°Π²Π°, ΠΏΡΠΎΡΠ΅Π΄ΡΠ΅Π³ΠΎ ΡΡΠ°ΠΏΠ½ΠΎΠ΅ Π»Π΅ΡΠ΅Π½ΠΈΠ΅ Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Ρ ΡΠ½Π²Π°ΡΡ 2007 Π³. ΠΏΠΎ ΡΠ½Π²Π°ΡΡ 2017 Π³., ΡΠΎΠ±ΡΠ°Π½Π½ΡΡ
Π² Ρ
ΠΎΠ΄Π΅ Π΄ΠΈΡΡΠ΅ΡΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π‘ ΡΠ΅Π»ΡΡ ΡΡΠΎΡΠ½Π΅Π½ΠΈΡ ΡΡΡΡΠΊΡΡΡΡ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ ΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Π°ΠΆΠ½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΠΠ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ°Π·Π΄Π΅Π»ΠΈΠ»ΠΈ Π½Π° Π΄Π²Π΅ Π³ΡΡΠΏΠΏΡ: Π³ΡΡΠΏΠΏΠ° 1 ΠΏΠ°ΡΠΈΠ΅Π½ΡΡ Ρ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π°ΠΌΠΈ ΠΠΠ ΠΏΠΎΡΠ»Π΅ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ ΡΡΠ°ΠΏΠ° Π»Π΅ΡΠ΅Π½ΠΈΡ 48 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ; Π³ΡΡΠΏΠΏΠ° 2 ΠΏΠ°ΡΠΈΠ΅Π½ΡΡ Ρ ΠΠΠ, ΡΡΠΏΠ΅ΡΠ½ΠΎ ΠΏΡΠΎΡΠ΅Π΄ΡΠΈΠ΅ ΠΏΠ΅ΡΠ²ΡΠΉ ΡΡΠ°ΠΏ (ΠΈΠΌΠΏΠ»Π°Π½ΡΠ°ΡΠΈΡ ΡΠΏΠ΅ΠΉΡΠ΅ΡΠ°) 113 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ. ΠΡΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΠΈ Π΄ΠΈΡΡΠ΅ΡΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ Π°Π²ΡΠΎΡΠ° (Π.Π.Π.) Π±ΡΠ» ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ ΠΏΠ΅ΡΠ΅ΡΠ΅Π½Ρ ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠ΅ΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΡΠΎΡΡΠΎΡΡΠΈΠΉ ΠΈΠ· 17 ΠΏΡΠ½ΠΊΡΠΎΠ², Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΡ
Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. Π Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΌ ΠΏΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ ΠΌΡΠ»ΡΡΠΈΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
Π΄Π΅ΡΠ΅Π²ΡΠ΅Π² ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π΄Π»Ρ ΡΡΠΌΠΌΠ°ΡΠ½ΠΎΠ³ΠΎ Π±Π°Π»Π»Π° ΠΏΠΎ ΡΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΊΠ°Π»Π΅ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ (ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ) Π΄Π»Ρ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ².
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΡΠ΅Π΄ΠΈ ΠΏΡΠΎΡΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΡΠΈΠ½Π°Π΄Π»Π΅ΠΆΠΈΡ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΆΠ΅Π»Π΅Π·ΠΎΠ΄Π΅ΡΠΈΡΠΈΡΠ½ΠΎΠΉ Π°Π½Π΅ΠΌΠΈΠΈ, Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌ ΠΏΠΎΡΠ΅ΠΊ, ΠΎΠΆΠΈΡΠ΅Π½ΠΈΡ ΠΈ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΡΡ
ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅Π² ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠ΅ ΡΡΠ°ΠΊΡΠΎΠ²Π°ΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠΉ ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΏΠΎ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΡΠΌ ΡΠΈΡΠΊΠ° Π²Π½ΡΡΡΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ Π³ΡΡΠΏΠΏΡ ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΌΠ΅ΠΆΠ³ΡΡΠΏΠΏΠΎΠ²ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ. ΠΠ½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΈΠ½Π΄Π΅ΠΊΡΠ°, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠ΅Π΅ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΌΡ ΡΠΈΡΠΊΡ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΡΠ°ΡΠ΅ Π²ΡΡΡΠ΅ΡΠ°Π»ΠΎΡΡ Π² Π³ΡΡΠΏΠΏΠ΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π±Π΅Π· ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΠΠ (p0,0001). ΠΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π½Π΅ΡΠ΄Π°ΡΠ½ΡΠΌΠΈ ΠΏΠΎΠΏΡΡΠΊΠ°ΠΌΠΈ ΡΠ°Π½Π°ΡΠΈΠΈ ΠΎΡΠ°Π³Π° ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π²ΠΎΡΠΏΠ°Π»Π΅Π½ΠΈΡ ΠΈΠΌΠ΅Π»ΠΈ Π²ΡΡΠΎΠΊΠΈΠΉ ΡΠΈΡΠΊ, ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌΠΈ Π±Π΅Π· ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΠΠ.
ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π½Π°Π»ΠΈΡΠΈΡ ΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠ΅ΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°ΡΡ ΡΠΊΠ°Π»Ρ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ Ρ ΡΠ°ΡΡΠ΅ΡΠΎΠΌ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ (ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ) ΠΈ ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ Π΅Π³ΠΎ ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ ΠΈΠ½Π΄Π΅ΠΊΡ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΠΈ ΠΌΠΎΠΆΠ΅Ρ Π»Π΅ΡΡ Π² ΠΎΡΠ½ΠΎΠ²Ρ ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½Π΅Π½Π½ΠΎΠ³ΠΎ ΠΊΠ°Π»ΡΠΊΡΠ»ΡΡΠΎΡΠ° ΡΠΈΡΠΊΠ° ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΠΈ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΡΠ°ΠΊΡΠΈΠΊΠΈ Π²ΡΠ±ΠΎΡΠ° Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π»Π΅ΡΠ΅Π½ΠΈΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΠΠ ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΡΡΡΡΠ°Π²Π°, ΡΡΠΎ ΡΡΠ΅Π±ΡΠ΅Ρ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ
Optimizing Acoustic Array Beamforming to Aid a Speech Recognition System
The iBrutus is a pilot project at the Computer Science and Engineering (CSE) department at OSU which develops human-computer interaction via spoken dialog. The goal of the iBrutus project is to design a kiosk with a talking avatar on a screen which will answer questions at a public event like a football game at a potentially noisy environment like the Ohio Stadium.
In such an environment, the speech recognition software employed by the system would be ineffective without prior processing to obtain a cleaner speech signal. As a rule of thumb, if the iBrutus could correctly interpret 70% or more words, it could successfully to map the input to a known question/command. To improve the speech recognition rate the author has chosen to research a beamforming algorithm. Such an algorithm combines inputs of from a microphone array to minimize the interference while preserving the desired signal (i.e. speech arriving from a known direction/location).
The goal of the research has been to develop such an algorithm and a means of testing to determine which parameters associated with the algorithm β such as the spatial geometry of the microphone array β will produce the desired speech recognition rate in minimum processing time. The beamforming algorithm designed by the author in MATLAB was frequency based wideband Minimum Variance Distortionless Response (MVDR). Tests showed that at least 70% word recognition rate could be achieved under certain parameter choices. The processing time of the MATLAB-based algorithm is currently larger than desired for use with iBrutus, but there is potential for improvement.No embarg
ΠΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΅Π΄ΠΈΠ½ΠΈΡΡ ΠΈ Π»ΠΈΠ½Π³Π²ΠΈΡΡΠΈΠΊΠ° ΡΡΠΈΡ Π° (ΠΎ ΡΡΠ°ΡΡΡΠ΅ ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ ΠΏΠ΅ΠΎΠ½Π°)
Besides meter and rhyme, constructs independent of on the syntactic and intonation border of an utterance, we suggest considering a complex unit (a verseme) describing a verse segment as a primary element of the poetic syntax.ΠΠΎΠΌΠΈΠΌΠΎ ΡΠ°Π·ΠΌΠ΅ΡΠ° ΠΈ ΡΠΈΡΠΌΠ° - ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΎΠ², Π±Π΅Π·ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΊ ΡΠΈΠ½ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈ ΠΈΠ½ΡΠΎΠ½Π°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π³ΡΠ°Π½ΠΈΡΠ΅ Π²ΡΡΠΊΠ°Π·ΡΠ²Π°Π½ΠΈΡ, - Π² ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅ΡΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΡ Π΅Π΄ΠΈΠ½ΠΈΡΡ (ΡΡΠΈΡ
Π΅ΠΌΡ), ΠΎΠΏΠΈΡΡΠ²Π°ΡΡΡΡ ΡΡΠΈΡ
ΠΎΠ²ΠΎΠΉ ΡΠ΅Π³ΠΌΠ΅Π½Ρ ΠΊΠ°ΠΊ ΠΏΠ΅ΡΠ²ΠΎΡΠ»Π΅ΠΌΠ΅Π½Ρ ΡΡΠΈΡ
ΠΎΡΠ²ΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠ½ΡΠ°ΠΊΡΠΈΡΠ°
Coupling of the lattice and superlattice deformations and hysteresis in thermal expansion for the quasi one-dimensional conductor TaS
An original interferometer-based setup for measurements of length of
needle-like samples is developed, and thermal expansion of o-TaS crystals
is studied. Below the Peierls transition the temperature hysteresis of length
is observed, the width of the hysteresis loop being up to . The behavior of the loop is anomalous: the length changes so
that it is in front of its equilibrium value. The hysteresis loop couples with
that of conductivity. The sign and the value of the length hysteresis are
consistent with the strain dependence of the charge-density waves (CDW) wave
vector. With lowering temperature down to 100 K the CDW elastic modulus grows
achieving a value comparable with the lattice Young modulus. Our results could
be helpful in consideration of different systems with intrinsic
superstructures.Comment: 4 pages, 3 figures. Phys. Rev. Lett., accepted for publicatio
Π.Π. ΠΡΠΈΠΊ β ΡΠ΅ΠΎΡΠ΅ΡΠΈΠΊ ΠΈ ΠΏΡΠ°ΠΊΡΠΈΠΊ Β«ΡΡΡΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΌΠ°Β» (ΡΠ°Π·ΠΌΡΡΠ»Π΅Π½ΠΈΡ ΠΈ Ρ ΡΠΎΠ½ΠΈΠΊΠΈ)
The article touches upon a revaluation of O. Brikβs role in the forming of βRussian formalismβ methods in all its numerous theoretical and practical aspects. It also includes the analysis of the results of two scientific conferences: Osip Brik International Colloquium-I and Osip Brik International Colloquium-II.Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π²ΠΎΠΏΡΠΎΡ ΠΎ ΠΏΠ΅ΡΠ΅ΠΎΡΠ΅Π½ΠΊΠ΅ ΡΠΎΠ»ΠΈ Π.Π.ΠΡΠΈΠΊΠ° Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ Β«ΡΡΡΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΌΠ°Β» Π²ΠΎ Π²ΡΠ΅Ρ
Π΅Π³ΠΎ ΠΌΠ½ΠΎΠ³ΠΎΡΠΈΡΠ»Π΅Π½Π½ΡΡ
ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΡΠΏΠ΅ΠΊΡΠ°Ρ
, Π°Π½Π°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ ΠΈΡΠΎΠ³ΠΈ I ΠΈ II ΠΡΠΈΠΊΠΎΠ²ΡΠΊΠΈΡ
ΡΡΠ΅Π½ΠΈΠΉ
ΠΠΎΡΡΠΈΠΊΠ° ΡΡΠΈΡ ΠΎΡΠ²ΠΎΡΠ½ΠΎΠΉ ΡΠ΅ΡΠΈ: ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» Π΄Π²ΡΡ ΡΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΡΡΠΈΡ Π°
The article describes the communicative potential of a two-component verse from the point of view of the topic-comment articulation of a sentence and its expressive means.Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» Π΄Π²ΡΡ
ΡΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΡΡΠΈΡ
Π° Ρ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ»Π΅Π½Π΅Π½ΠΈΡ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΡ-Π²ΡΡΠΊΠ°Π·ΡΠ²Π°Π½ΠΈΡ ΠΈ Π΅Π³ΠΎ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠ²Π½ΡΡ
Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ
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