Estimating the effect of tracking tag weight on insect movement using video analysis: A case study with a flightless orthopteran.

In this study, we describe an inexpensive and rapid method of using video analysis and identity tracking to measure the effects of tag weight on insect movement. In a laboratory experiment, we assessed the tag weight and associated context-dependent effects on movement, choosing temperature as a factor known to affect insect movement and behavior. We recorded the movements of groups of flightless adult crickets Gryllus locorojo (Orthoptera:Gryllidae) as affected by no tag (control); by light, medium, or heavy tags (198.7, 549.2, and 758.6 mg, respectively); and by low, intermediate, or high temperatures (19.5, 24.0, and 28.3°C, respectively). Each individual in each group was weighed before recording and was recorded for 3 consecutive days. The mean (± SD) tag mass expressed as a percentage of body mass before the first recording was 26.8 ± 3.7% with light tags, 72 ± 11.2% with medium tags, and 101.9 ± 13.5% with heavy tags. We found that the influence of tag weight strongly depended on temperature, and that the negative effects on movement generally increased with tag weight. At the low temperature, nearly all movement properties were negatively influenced. At the intermediate and high temperatures, the light and medium tags did not affect any of the movement properties. The continuous 3-day tag load reduced the average movement speed only for crickets with heavy tags. Based on our results, we recommend that researchers consider or investigate the possible effects of tags before conducting any experiment with tags in order to avoid obtaining biased results.

Evaluation of Voiding Parameters in Healthy Women Using Sound Analysis.

OBJECTIVES: Sonouroflowmetry represents a novel method for estimating urinary flow parameters. The aim of this study was to compare the urinary flow parameters acquired using sonouroflowmetry with those of standard uroflowmetry in healthy female volunteers. METHODS: Thirty-six healthy female volunteers (aged 25-54 years) were subjected to standard uroflowmetry. Simultaneously, subjects dialed a dedicated number on a mobile phone and kept recording until urination was finished. Sound data were analyzed and compared to the uroflowmetry data. Of 218 recordings, 183 were included in the final analysis. Thirty-four measurements were excluded for voided volume <150 mL or technical problems during the recording. A linear model was fitted to calculate the urinary flow parameters and the voided volume from data obtained by sonouroflowmetry. Subsequently the matching datasets of UF and SUF were compared with respect to flow time, voided volume, maximum (Qmax ) and average (Qave ) flow rate. Pearson's correlation coefficient (PCC) was used to compare parameters recorded by uroflowmetry with those calculated based on sonouroflowmetry recordings. RESULTS: A strong correlation (PCC = 0.95) was noted between uroflowmetry recorded flow time and duration of the sonouroflowmetry sound signal. The voided volume measured by uroflowmetry showed a moderate correlation (PCC = 0.68) with the calculated area under the sonouroflowmetry curve. Qmax recorded using uroflowmetry and sonouroflowmetry recorded peak sound intensity showed a weak correlation (PCC = 0.38). CONCLUSIONS: This study validates the basic concept of using sound analysis to estimate urinary flow parameters and voided volume.

Comparison between uroflowmetry and sonouroflowmetry in recording of urinary flow in healthy men.

OBJECTIVES: To evaluate the accuracy of sonouroflowmetry in recording urinary flow parameters and voided volume. METHODS: A total of 25 healthy male volunteers (age 18-63 years) were included in the study. All participants were asked to carry out uroflowmetry synchronous with recording of the sound generated by the urine stream hitting the water level in the urine collection receptacle, using a dedicated cell phone. From 188 recordings, 34 were excluded, because of voided volume <150 mL or technical problems during recording. Sonouroflowmetry recording was visualized in a form of a trace, representing sound intensity over time. Subsequently, the matching datasets of uroflowmetry and sonouroflowmetry were compared with respect to flow time, voided volume, maximum flow rate and average flow rate. Pearson's correlation coefficient was used to compare parameters recorded by uroflowmetry with those calculated based on sonouroflowmetry recordings. RESULTS: The flow pattern recorded by sonouroflowmetry showed a good correlation with the uroflowmetry trace. A strong correlation (Pearson's correlation coefficient 0.87) was documented between uroflowmetry-recorded flow time and duration of the sound signal recorded with sonouroflowmetry. A moderate correlation was observed in voided volume (Pearson's correlation coefficient 0.68) and average flow rate (Pearson's correlation coefficient 0.57). A weak correlation (Pearson's correlation coefficient 0.38) between maximum flow rate recorded using uroflowmetry and sonouroflowmetry-recorded peak sound intensity was documented. CONCLUSIONS: The present study shows that the basic concept utilizing sound analysis for estimation of urinary flow parameters and voided volume is valid. However, further development of this technology and standardization of recording algorithm are required.