Blind Video Research Articles

Clinical Outcomes After Tracheobronchoplasty With Ringed Polytetrafluoroethylene Vascular Graft

BackgroundThis report describes the surgical technique and outcomes of tracheobronchoplasty (TBP) with ringed polytetrafluoroethylene (PTFE) vascular graft. MethodsWe identified all patients who underwent PTFE-TBP for severe expiratory central airway collapse from January 1, 2018 to August 2021 at Mayo Clinic, Florida. Preoperative and postoperative St George’s Respiratory Questionnaire (SGRQ), Cough-Specific Quality of Life Questionnaire (CSQLQ), pulmonary function testing, 6-minute walk test, and blinded dynamic bronchoscopy videos at 3-month follow-up were used to assess outcomes. ResultsFourteen patients (median age, 62.5 years; 64.3% female) underwent PTFE-TBP. The median operative time was 355 minutes, median hospital length of stay was 5 days, and median intensive care unit stay was 1 day. One patient had a Clavien-Dindo grade ≥3 complication. Comparison of preoperative and postoperative questionnaire scores demonstrated improvement in median SGRQ score by 14.79 (P = .013) and CSQLQ score by 22 (P = .005). Preoperative and postoperative pulmonary function and 6-minute walk test results showed no significant difference. Postoperative bronchoscopy demonstrated improvement in median collapsibility of mid trachea by 39.6% (P < .001), distal trachea by 50% (P < .001), left main bronchus by 38.2% (P < .001), right main bronchus by 37.9% (P < .001), and bronchus intermedius by 30.7% (P < .001). ConclusionsPTFE-TBP provides significant improvement in patients' symptoms and expiratory central airway collapse as judged by preoperative and postoperative quality of life questionnaires and bronchoscopy.

Impact of Unexpected Death in a Simulation Scenario on Skill Retention, Stress, and Emotions: A Simulation-Based Randomized Controlled Trial.

Introduction The simulation of patient death remains controversial in simulation-based education. We investigated the effect of simulated patient death on learners' skill retention, stress levels, and emotions. Methods After ethics approval, we recruited residents at two Canadian universities. Participants were randomized to manage a simulated cardiac arrest ending with either the unexpected death (intervention group) or survival (control group) of the simulated patient (i.e., manikin). Three months later, all participants performed the same scenario but with the opposite outcome. Blinded video raters assessed participants' non-technical and technical crisis resource management (CRM) skills at both time points. Stress levels (represented by anxiety level, salivary cortisol concentration, and cognitive appraisal) and emotional valence were measured. Outcomes were analyzed using analysis of covariance (ANCOVA) or generalized estimating equations as appropriate. Results The analysis included 46 participants (intervention: n=24; control: n=22). Simulated death neither affected retention of non-technical CRM skills (mean retention Ottawa Global Rating Scale score in the death group [29.4, 95% CI: 27.0, 31.8] versus control group [29.4, 95% CI: 26.8, 32.0; p=0.87])nor technical CRM skills (mean retention task-specific checklist score in the manikin death group [11.8, 95% CI: 10.5, 13.0]versus the control group [12.5, 95% CI: 11.3, 13.7; p=0.69]). The simulated death had negative effects on participants' anxiety levels, cognitive appraisal, and emotions. Conclusion Simulated patient death did not affect the retention of non-technical or technical CRM skillsbut led to greater levels of short-term anxiety, stress, and negative emotions among learners.

MP68-09 VALIDATION OF AN OBJECTIVE PRESSURE TEST FOR URETHROVESICAL ANASTOMOSIS IN A NON-BIOHAZARDOUS ROBOT ASSISTED RADICAL PROSTATECTOMY SIMULATION MODEL

You have accessJournal of UrologyCME1 Apr 2023MP68-09 VALIDATION OF AN OBJECTIVE PRESSURE TEST FOR URETHROVESICAL ANASTOMOSIS IN A NON-BIOHAZARDOUS ROBOT ASSISTED RADICAL PROSTATECTOMY SIMULATION MODEL Nathan Schuler, Alexis Steinmetz, Kit Yuen, Lauren Shepard, Tyler Holler, Christopher Wanderling, and Ahmed Ghazi Nathan SchulerNathan Schuler More articles by this author , Alexis SteinmetzAlexis Steinmetz More articles by this author , Kit YuenKit Yuen More articles by this author , Lauren ShepardLauren Shepard More articles by this author , Tyler HollerTyler Holler More articles by this author , Christopher WanderlingChristopher Wanderling More articles by this author , and Ahmed GhaziAhmed Ghazi More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003331.09AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Urethrovesical Anastomosis (UVA) is a critical step within Robot Assisted Radical Prostatectomy (RARP) which directly influences postoperative complication and continence recovery. The current standard for assessing UVA proficiency is mainly through the Robotic Anastomosis Competency Evaluation (RACE), a subjective video-based grading system. We have previously validated embedded force sensors within realistic RARP models as an objective method to measure torque during nerve sparing. Herein, we developed an adjacent pressure test with parallels to common urodynamic testing as an objective metric to evaluate UVA integrity in our RARP simulation. METHODS: 48 simulated robotic UVA were completed by urologists with varying experience levels: 6 experts (EXP), 16 intermediates (IM) and 26 novices (NOV)). Following simulation, bladders were dissected from surrounding tissue and subjected to a pressure leak test. Bladders were filled to predetermined volumes at a constant rate. Internal volume when leakage at the UVA site started and at end of filling were measured, then used to calculate maximum internal pressure (Pmax) and pressure at leakage start (Pleak). Flow Fractionation (FF) was calculated by allowing free fluid flow through both UVA site and urethra onto separate, tared scales and recorded throughout the test. RACE scores were assigned by two blinded expert video reviewers. RESULTS: EXP showed higher Pmax, FF, and Pleak versus NOV (p=.0009; p=.005; p=.011) as well as EXP vs IM (p=.028; p=.047; p=.047), however IM vs NOV lacked significance. Multivariate analysis found significant positive correlations between Knot Tying (KT), Suture Placement (SP) and Tissue Approximation (TA) with FF (p=.017; p=.051; p=.0007) and Pmax (p=0.01; p=.087; p=.0005). TA and KT had significant correlations with Pleak (p=.0027; p=.085) (Figure 1). CONCLUSIONS: The bladder pressure test and its parameters we have developed represent three objective metrics that can be used to assess the ability of a trainee to complete a UVA that would succeed in an intraoperative leak test. Stratification of test difficulty towards the upper end of the RACE score spectrum offers more granularity by which intermediates can assess performance vs experts. Source of Funding: n/a © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e956 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Nathan Schuler More articles by this author Alexis Steinmetz More articles by this author Kit Yuen More articles by this author Lauren Shepard More articles by this author Tyler Holler More articles by this author Christopher Wanderling More articles by this author Ahmed Ghazi More articles by this author Expand All Advertisement PDF downloadLoading ...

RSVD for Three Quaternion Tensors with Applications in Color Video Watermark Processing

In this paper, we study the restricted singular-value decomposition (RSVD) for three quaternion tensors under the Einstein product, and give higher-order RSVD over the quaternion algebra, which can achieve simultaneous singular value decomposition of three quaternion tensors. Moreover, we give the algorithm for computing the RSVD of for quaternion tensors. What is more, we present a new blind color video watermarking scheme based on the forth-order RSVD over the quaternion algebra, and our numerical example demonstrates the effectiveness of the framework.

Longitudinal Force Measurement and its Relationship to Technical Competence for Esophageal Anastomosis in a Thoracoscopic Esophageal Atresia/Tracheo-Esophageal Fistula Simulator

PurposeThoracoscopic esophageal atresia with tracheo-esophageal fistula (EA/TEF) repair requires the gentle manipulation of delicate tissue. Force sensors were attached to the upper and lower esophagus of a 3D-printed EA/TEF simulator to explore force parameters as markers of performance. MethodsParticipants completed one intracorporeal suture between the anterior walls of upper and lower esophageal ends. Longitudinal force data were recorded at each end. A blinded pediatric surgeon marked attempt videos. Excessive force events, maximum tension, and force interquartile range (IQR) were measured. Data were reported as median (range) significance of p < 0.05. Results17 participants of varying levels of experience performed the task. OSATS scores showed significant differences between experts and novices. Experts completed the task in a median time of 4 min. They used lower maximum tension, higher force IQR, and had fewer excess force events compared to the intermediate and novice groups. DiscussionThe application of force was dependent on expertise with more skilled participants having fewer excess force events. The higher expert force IQR likely reflects the consistent tension needed for task completion. Analysis of force data may be an indicator of competence, and trainees may benefit from a thoracoscopic simulator which provides force data feedback. Level of evidenceNot applicable.

Blind Video Quality Assessment for Ultra-High-Definition Video Based on Super-Resolution and Deep Reinforcement Learning.

Ultra-high-definition (UHD) video has brought new challenges to objective video quality assessment (VQA) due to its high resolution and high frame rate. Most existing VQA methods are designed for non-UHD videos-when they are employed to deal with UHD videos, the processing speed will be slow and the global spatial features cannot be fully extracted. In addition, these VQA methods usually segment the video into multiple segments, predict the quality score of each segment, and then average the quality score of each segment to obtain the quality score of the whole video. This breaks the temporal correlation of the video sequences and is inconsistent with the characteristics of human visual perception. In this paper, we present a no-reference VQA method, aiming to effectively and efficiently predict quality scores for UHD videos. First, we construct a spatial distortion feature network based on a super-resolution model (SR-SDFNet), which can quickly extract the global spatial distortion features of UHD videos. Then, to aggregate the spatial distortion features of each UHD frame, we propose a time fusion network based on a reinforcement learning model (RL-TFNet), in which the actor network continuously combines multiple frame features extracted by SR-SDFNet and outputs an action to adjust the current quality score to approximate the subjective score, and the critic network outputs action values to optimize the quality perception of the actor network. Finally, we conduct large-scale experiments on UHD VQA databases and the results reveal that, compared to other state-of-the-art VQA methods, our method achieves competitive quality prediction performance with a shorter runtime and fewer model parameters.

Deep Video Prior for Video Consistency and Propagation.

Applying an image processing algorithm independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel and general approach for blind video temporal consistency. Our method is only trained on a pair of original and processed videos directly instead of a large dataset. Unlike most previous methods that enforce temporal consistency with optical flow, we show that temporal consistency can be achieved by training a convolutional network on a video with Deep Video Prior (DVP). Moreover, a carefully designed iteratively reweighted training strategy is proposed to address the challenging multimodal inconsistency problem. We demonstrate the effectiveness of our approach on 7 computer vision tasks on videos. Extensive quantitative and perceptual experiments show that our approach obtains superior performance than state-of-the-art methods on blind video temporal consistency. We further extend DVP to video propagation and demonstrate its effectiveness in propagating three different types of information (color, artistic style, and object segmentation). A progressive propagation strategy with pseudo labels is also proposed to enhance DVP's performance on video propagation. Our source codes are publicly available at https://github.com/ChenyangLEI/deep-video-prior.

A Review on Low Complex Blind Video Quality Predictor based on Support Vector Machines

A Review on Low Complex Blind Video Quality Predictor based on Support Vector Machines

End-to-End Blind Video Quality Assessment Based on Visual and Memory Attention Modeling

End-to-End Blind Video Quality Assessment Based on Visual and Memory Attention Modeling

Comparing Simulator Metrics and Rater Assessment of Laparoscopic Suturing Skills

Laparoscopic intracorporeal suturing is important to master and competence should be ensured using an optimal method in a simulated environment before proceeding to real operations. The objectives of this study were to gather validity evidence for two tools for assessing laparoscopic intracorporeal knot tying and compare the rater-based assessment of laparoscopic intracorporeal suturing with the assessment based on simulator metrics. Twenty-eight novices and 19 experienced surgeons performed four laparoscopic sutures on a Simball Box simulator twice. Two surgeons used the Intracorporeal Suturing Assessment Tool (ISAT) for blinded video rating. Composite Simulator Score (CSS) had higher test-retest reliability than the ISAT. The correlation between the number performed procedures including suturing and ISAT score was 0.51, p<0.001, and 0.59 p<0.001 for CSS. We found an inter-rater reliability (0.72, p<0.001 for test 1 and 0.53 p<0.001 for test 2). The pass/fail rates for ISAT and CSS were similar. CSS and ISAT provide similar results for assessing laparoscopic suturing but assess different aspects of performance. Using simulator metrics and raters' assessments in combination should be considered for a more comprehensive evaluation of laparoscopic knot-tying competency.

Blindly Assess Quality of In-the-Wild Videos via Quality-Aware Pre-Training and Motion Perception

Perceptual quality assessment of the videos acquired in the wilds is of vital importance for quality assurance of video services. The inaccessibility of reference videos with pristine quality and the complexity of authentic distortions pose great challenges for this kind of blind video quality assessment (BVQA) task. Although model-based transfer learning is an effective and efficient paradigm for the BVQA task, it remains to be a challenge to explore <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">what</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">how</i> to bridge the domain shifts for better video representation. In this work, we propose to transfer knowledge from image quality assessment (IQA) databases with authentic distortions and large-scale action recognition with rich motion patterns. We rely on both groups of data to learn the feature extractor and use a mixed list-wise ranking loss function to train the entire model on the target VQA databases. Extensive experiments on six benchmarking databases demonstrate that our method performs very competitively under both individual database and mixed databases training settings. We also verify the rationality of each component of the proposed method and explore a simple ensemble trick for further improvement.

The influence of surgical and procedural rotations and interest in a surgical discipline on medical students' suturing ability during clerkship.

Background:Although suturing is an essential competency for medical students, there has been limited research into the skills acquisition process over the course of medical school curriculum. This study aimed to determine whether suturing ability improved over the course of clerkship and whether an interest in a surgical discipline was associated with improved skill acquisition.Methods:The suturing ability of third-year medical students at a large Canadian medical school was assessed at the beginning of clerkship (August 2018) as well as before and after their surgery rotation by 2 expert reviewers using a validated, objective scoring system as well as a qualitative assessment, both in person and via blinded video recordings. Students were randomly allocated to 4 groups for their clerkship year by the medical school.Results:Of 133 eligible students, 115 (86.5%) completed the study. Median suturing assessment scores improved significantly after the surgery rotation (214.5 [interquartile range (IQR) 191.1–235.0] v. 238.0 [IQR 223.5–255.0], p = 0.001). Groups that had completed a procedural rotation (emergency medicine, obstetrics and gynecology) between clerkship and starting their surgery rotation had improved scores between these time points (p < 0.05), whereas scores decreased for groups that did not have a procedural rotation between assessments. Regardless of previous rotations, suturing scores were similar between groups after the surgery rotation. The 21 students (18.3%) who were interested in a surgical discipline had higher suturing scores than students who were not interested in surgery at the beginning of clerkship (229.1 [IQR 220.2–253.0] v. 208.0 [IQR 185.0–228.0], p < 0.001) and after the surgery rotation (252.0 [IQR 227.0–268.0] v. 235.8 [IQR 220.5–251.2], p = 0.02).Conclusion:Medical students’ suturing ability improved during the surgery rotation but was also influenced by other procedural rotations and students’ interest in procedure specialties. Skill acquisition by medical students is complex and requires additional investigation.

A Validated 3D Printed Laryngeal Suturing Simulator for Endoscopic Laryngeal Cleft Repair.

Endoscopic laryngeal cleft repair (ELCR) with endolaryngeal suturing is an advanced surgical skill. This study objective was to assess the validity of 3-dimensionally (3D) printed laryngeal suturing simulator for ELCR. Development and validation of a simulator for ELCR. An ELCR model was developed using 3D printed and readily available materials. Participants were surveyed before and after a simulation session using five-point Likert scale questions. Performance data was assessed using blinded expert video review and rated using a novel objective structured assessment of technical skills (OSATS) for endoscopic laryngeal suturing. Twenty-one participants ranging from residents to attendings completed the simulation session. Survey respondents reported on a five-point Likert scale that the model was "easy to use" and "quite realistic" (both mean of 4). Confidence improved significantly in 86% of participants (p < 0.01). Overall OSATS scores (out of a total of 55) showed a median improvement in technical skills of 11.7 points (p=0.004). OSATS demonstrated good intra-rater (κ=0.689 and 0.677) and moderate inter-rater (κ=0.573) reliability. Completion times improved from the first to the last suture by a median time of 512 to 350 s (decrease of 202 s, p=0.002). Participants with no prior ELCR experience improved more than those with in vivo experience. This study demonstrates the validity of a simulator utilizing 3D printed larynges for ELCR. A novel OSATS for endoscopic laryngeal suturing was successfully implemented. Confidence, technical skills, and completion times improved with the use of the model across a variety of participants. Laryngoscope, 133:785-791, 2023.

Therapies, Research Funding, and Racial Diversity in Essential Tremor: A Systematic Review of the Literature.

Essential tremor (ET) is one of the most common tremor disorders in the world. Despite this, only one medication, propranolol, is approved by the Food and Drug Administration to treat it. We analyzed controlled clinical trials in ET, spanning the last 50 years, to identify potential shortcomings in the therapeutic clinical pipeline. Outcomes reviewed included demographics (specifically gender and race), therapeutic modalities, funding information, location of research, and trends over time. Clinical trials published in English were identified in scientific databases (Pubmed, SCOPUS, Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry Platform from 1970 through December 2021. Included trials were prospective, either single- or double-blinded (including blinded video assessments for surgical trials), with change in limb, head, or voice tremor as the primary outcome measure. One hundred and eighty-six controlled clinical trials were accepted for extraction, including 4207 patients. Of the 145 trials that included gender, males comprised 59% of the patient population. Only 6.4% of studies provided racial demographics; in these studies, 70.5% of patients were Caucasian. The most common therapeutic modality over the past 50 years was "pharmaceutical" (56%), and the most common pharmaceutical studied was propranolol (32%). 41% of clinical trials reported no specific funding. Future efforts should focus on increasing funding for clinical trial research in ET worldwide, and trials should be designed to be more inclusive of disadvantaged minorities.

Spatiotemporal Representation Learning for Blind Video Quality Assessment

Blind video quality assessment (BVQA) is of great importance for video-related applications, yet still challenging even in this deep learning era. The difficulty lies in the shortage of large-scale labeled data, thus making it hard to train a robust spatiotemporal encoder for BVQA. To relieve such difficulty, we first build a video dataset, which contains over 320K samples suffering from various compression and transmission artifacts. While manually annotating the dataset with subjective perception is much labor-intensive and time-consuming, we adopt reference-based VQA algorithms to weakly label the data automatically. We consider that single weak label is derived from single knowledge, which is deficient and incomplete for VQA. To alleviate the bias from single weak label (i.e., single knowledge) in the weakly labeled dataset, we propose HEterogeneous Knowledge Ensemble (HEKE) for spatiotemporal representation learning. Compared to learning from single knowledge, learning with HEKE is thought to achieve a lower infimum theoretically, and obtain richer representation. On the basis of the built dataset and the HEKE methodology, a feature encoder specific to BVQA is formed, and directly extract spatiotemporal representation from videos. Then, the video quality can be either acquired in a completely BVQA manner without ground truth, or via a finetuning-based regressor with labels. Extensive experiments on various VQA databases show that our BVQA model with the pretrained encoder achieves the state-of-the-art performance. More surprisingly, even trained on the synthetic data, our model still shows competitive performance on authentic databases. The data and source code will be available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/Sissuire/BVQA-HEKE</uri> .

A Blind Video Copyright Protection Technique in Maximum and Minimum Energy Frames Based on The Fast Walsh Hadamard Transform (FWHT) and Discrete Wavelet Transform (DWT) and Arnold Map

Video copyright protection is the most generally acknowledged method of preventing data piracy. This paper proposes a blind video copyright protection technique based on the Fast Walsh Hadamard Transform (FWHT), Discrete Wavelet Transform (DWT), and Arnold Map. The proposed method chooses only frames with maximum and minimum energy features to host the watermark. It also exploits the advantages of both the fast Walsh Hadamard transform (FWHT) and discrete wavelet transforms (DWT) for watermark embedding. The Arnold map encrypts watermarks before the embedding process and decrypts watermarks after extraction. The results show that the proposed method can achieve a fast embedding time, good transparency, and robustness against various attacks.

Characterization of teamwork and guideline compliance in prehospital neonatal resuscitation simulations

AimNeonatal cardiopulmonary arrests are rare but serious events. There is limited information on compliance to best-practice guidelines due to rarity, but deviations can have dire consequences. This research aimed to characterize compliance with and deviations from Neonatal Resuscitation Program (NRP) guidelines and their association with teamwork. MethodsWe observed Emergency Medical Service (EMS) teams responding to standardized neonatal resuscitation simulations following a precipitous home delivery. A Clinical expert evaluated teamwork during simulations using the Clinical Teamwork Scale (CTS™). A neonatologist evaluated technical performance in blinded video review according to NRP guidelines. We report the types, counts, and severity of observed deviations. Logistic regression tested the association of CTS™ factors with the occurrence of deviations. ResultsForty-five (45) teams of 265 EMS personnel from fire and transport agencies participated in the simulations. Eighty-seven percent (39/45) of teams were rated as having good teamwork according to CTS™. Nearly all teams (44 of 45) delayed or did not perform one or more of the initial steps of dry, warm, or stimulate; delayed bag-valve mask ventilation (BVM); or performed continuous compressions instead of the recommended 3:1 compression-to-ventilation ratio. Logistic regression revealed an 82% (p < 0.04) decrease in the odds of airway errors for each level of improvement in teams’ decision-making. ConclusionDrying, warming, and stimulating, and ventilation tailored to the physiologic needs of infants continue to be top priorities in neonatal care for out-of-hospital settings. EMS teamwork is good and higher quality of decision-making appears to decrease the odds of ventilation errors.

The Effects of Leadership Curricula With and Without Implicit Bias Training on Graduate Medical Education: A Multicenter Randomized Trial.

To determine whether a brief leadership curriculum including high-fidelity simulation can improve leadership skills among resident physicians. This was a double-blind, randomized controlled trial among obstetrics-gynecology and emergency medicine (EM) residents across 5 academic medical centers from different geographic areas of the United States, 2015-2017. Participants were assigned to 1 of 3 study arms: the Leadership Education Advanced During Simulation (LEADS) curriculum, a shortened Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) curriculum, or as active controls (no leadership curriculum). Active controls were recruited from a separate site and not randomized to limit any unintentional introduction of materials from leadership curricula. The LEADS curriculum was developed in partnership with the Council on Resident Education in Obstetrics and Gynecology and Council of Residency Directors in Emergency Medicine as a novel way to provide a leadership toolkit. Both LEADS and the abbreviated TeamSTEPPS were designed as six 10-minute interactive web-based modules.The primary outcome of interest was the leadership performance score from the validated Clinical Teamwork Scale instrument measured during standardized high-fidelity simulation scenarios. Secondary outcomes were 9 key components of leadership from the detailed leadership evaluation measured on 5-point Likert scales. Both outcomes were rated by a blinded clinical video reviewer. One hundred ten obstetrics-gynecology and EM residents participated in this 2-year trial. Participants in both LEADS and TeamSTEPPS had statistically significant improvement in leadership scores from "average" to "good" ranges both immediately and at the 6-month follow-up, while controls remained unchanged in the "average" category throughout the study. There were no differences between LEADS and TeamSTEPPS curricula with respect to the primary outcome. Residents who participated in a brief structured leadership training intervention had improved leadership skills that were maintained at 6-month follow-up.

Blind quality scalable video compression algorithm for low bit-rate coding

Blind quality scalable video compression algorithm for low bit-rate coding

Characterizing the biomechanical differences between novice and expert point-of-care ultrasound practitioners using a low-cost gyroscope and accelerometer integrated sensor: A pilot study.

Point-of-care ultrasound (POCUS) has become an important diagnostic tool in acute care medicine; however, little is known about the biomechanical differences between novice and expert practitioners. A low-cost ($50 CAD) gyroscope and accelerometer integrated sensor was assembled and affixed to an ultrasound probe. Seventeen participants, nine novices and eight experts, were recruited to perform three abdominal and four cardiac scans on a standardized patient. Participant demographics, time per scan, average acceleration, average angular velocity, decay in acceleration and angular velocity over time, and frequency of probe movements were analyzed. Video capture with blinded video review was scored. On video review, experts had higher image optimization and acquisition scores for both abdominal and cardiac scans. Experts had shorter scan times for abdominal (7s vs. 26s, p=0.003) and cardiac (11s vs. 26s, p<0.001) scans. There was no difference in average acceleration (g) between novices and experts performing abdominal (1.02 vs. 1.01, p=0.50) and cardiac (1.01 vs. 1.01, p=0.45) scans. Experts had lower angular velocity (°/s) for abdominal scans (10.00 vs. 18.73, p<0.001) and cardiac scans (15.61 vs. 20.33, p=0.02) There was a greater decay in acceleration over time for experts performing cardiac scans compared to novices (-0.194 vs. -0.050, p=0.03) but not for abdominal scans or when measuring angular velocity. The frequency of movements (Hz) was higher for novices compared to experts for abdominal (16.68 vs. 13.79, p<0.001) and cardiac (17.60 vs. 13.63, p=0.002) scans. This study supports the feasibility of a low-cost gyroscope and accelerometer integrated sensor to quantify the biomechanics of POCUS. It may also support the concept of "window shopping" as a method by which experts obtain abdominal and cardiac views, where sliding is used to find an acoustic window, then smaller rocking and tilting probe movements are used to refine the image.