Protective responses of older adults for avoiding injury during falls: evidence from video capture of real-life falls in long-term care.

BACKGROUND: falls are common in older adults, and any fall from standing height onto a rigid surface has the potential to cause a serious brain injury or bone fracture. Safe strategies for falling in humans have traditionally been difficult to study. OBJECTIVE: to determine whether specific 'safe landing' strategies (body rotation during descent, and upper limb bracing) separate injurious and non-injurious falls in seniors. DESIGN: observational cohort study. SETTING: two long-term care homes in Vancouver BC. METHODS: videos of 2,388 falls experienced by 658 participants (mean age 84.0 years; SD 8.1) were analysed with a structured questionnaire. General estimating equations were used to examine how safe landing strategies associated with documented injuries. RESULTS: injuries occurred in 38% of falls, and 4% of falls caused injuries treated in hospitals. 32% of injuries were to the head. Rotation during descent was common and protective against injury. In 43% of falls initially directed forward, participants rotated to land sideways, which reduced their odds for head injury 2-fold. Upper limb bracing was used in 58% of falls, but rather than protective, bracing was associated with an increased odds for injury, possibly because it occurred more often in the demanding scenario of forward landings. CONCLUSIONS: the risk for injury during falls in long-term care was reduced by rotation during descent, but not by upper limb bracing. Our results expand our understanding of human postural responses to falls, and point towards novel strategies to prevent fall-related injuries.

Injuries from falls by older adults in long-term care captured on video: Prevalence of impacts and injuries to body parts.

BACKGROUND: Falls are the leading cause of injuries in older adults. However, most falls in older adults do not cause serious injury, suggesting that older adults may fall in a manner that reduces the likelihood of impact to body sites that are most vulnerable to injury. In this observational study of falls in long-term care (LTC), we tested whether body parts differed in their probability of impact and injury. METHODS: We recorded and analyzed videos of 2388 falls by 658 LTC residents (mean age 84.0 (SD = 8.1); 56.4% female). We used Linear Mixed Models to test for differences between body parts in the probability of impact and injury, and injury when impacts occurred. RESULTS: Injuries were reported in 38.2% of falls, and 85.9% of injuries involved direct impact to the injured body part. Impact occurred most often to the hip/pelvis (probability (standard error) = 0.95 (0.01); p < .001 relative to other body parts), and least often to the head (0.35 (0.01)). Conversely, injury occurred most often to the head (p < .001 relative to other body parts). The probability of injury when impacts occurred was 0.40 (0.01) for the head, and 0.11 or less for all other body parts. CONCLUSION: Our results help to explain why most falls by older adults in LTC do not cause serious injury: residents land on body parts that are the most resilient to injury. The high susceptibility of the head to injury reinforces the need to enhance upper limb protective responses for fall arrest. The dominant role of direct impact as the mechanism of injury supports approaches to attenuate impact forces through strategies like protective clothing and compliant flooring.

Design and Construction of an ROV for Underwater Exploration.

The design of a remotely operated vehicle (ROV) with a size of 18.41 cm × 29.50 cm × 33.50 cm, and a weight of 15.64 kg, is introduced herein. The main goal is to capture underwater video by remote control communication in real time via Ethernet protocol. The ROV moves under the six brushless motors governed through a smart PID controller (Proportional + Integral + Derivative) and by using pulse-wide modulation with short pulses of 1 µs to improve the stability of the position in relation to the translational, ascent or descent, and rotational movements on three axes to capture images of 800 × 640 pixels on a video graphic array standard. The motion control, 3D position, temperature sensing, and video capture are performed at the same time, exploiting the four cores of the Raspberry Pi 3, using the threading library for parallel computing. In such a way, experimental results show that the video capture stage can process up to 42 frames per second on a Raspberry Pi 3. The remote control of the ROV is executed under a graphical user interface developed in Python, which is suitable for different operating systems, such as GNU/Linux, Windows, Android, and OS X. The proposed ROV can reach up to 100 m underwater, thus solving the issue of divers who can only reach 30 m depth. In addition, the proposed ROV can be useful in underwater applications such as surveillance, operations, maintenance, and measurement.

[Failure Analysis and Maintenance of PHILPS Color Doppler Machine Hardware and Software].

Firstly, the structure and work flow of PHILPS ultrasound machine were analyzed, and the fault of electronic box of PHILPS M2540A and PHILPS HD15T color Doppler ultrasound of the failure of hardware and software are used to analysis the application of circuit principle in the process of maintenance and installation of software operation method, provides the reference for the daily fast repair of B color ultrasonic diagnostic equipment.

Stroboscope Based Synchronization of Full Frame CCD Sensors.

The key obstacle to the use of consumer cameras in computer vision and computer graphics applications is the lack of synchronization hardware. We present a stroboscope based synchronization approach for the charge-coupled device (CCD) consumer cameras. The synchronization is realized by first aligning the frames from different video sequences based on the smear dots of the stroboscope, and then matching the sequences using a hidden Markov model. Compared with current synchronized capture equipment, the proposed approach greatly reduces the cost by using inexpensive CCD cameras and one stroboscope. The results show that our method could reach a high accuracy much better than the frame-level synchronization of traditional software methods.

Video-based assessments of activities of daily living: generating real-world evidence in pediatric rare diseases.

INTRODUCTION: Preserving function and independence to perform activities of daily living (ADL) is critical for patients and carers to manage the burden of care and improve quality of life. In children living with rare diseases, video recording ADLs offer the opportunity to collect the patients' experience in a real-life setting and accurately reflect treatment effectiveness on outcomes that matter to patients and families. AREAS COVERED: We reviewed the measurement of ADL in pediatric rare diseases and the use of video to develop at-home electronic clinical outcome assessments (eCOA) by leveraging smartphone apps and artificial intelligence-based analysis. We broadly searched PubMed using Boolean combinations of the following MeSH terms 'Rare Diseases,' 'Quality of Life,' 'Activities of Daily Living,' 'Child,' 'Video Recording,' 'Outcome Assessment, Healthcare,' 'Intellectual disability,' and 'Genetic Diseases, Inborn.' Non-controlled vocabulary was used to include human pose estimation in movement analysis. EXPERT OPINION: Broad uptake of video eCOA in drug development is linked to the generation of technical and clinical validation evidence to confidently assess a patient's functional abilities. Software platforms handling video data must align with quality regulations to ensure data integrity, security, and privacy. Regulatory flexibility and optimized validation processes should facilitate video eCOA to support benefit/risk drug assessment.

Compensatory stepping responses during real-life falls in older adults.

BACKGROUND: Laboratory studies of postural responses suggest that stepping is a common strategy for balance recovery. Yet little is known about the frequency and characteristics of stepping responses during real-life falls in older adults. RESEARCH QUESTIONS: (1) Among falls experienced by older adults in long-term care (LTC), what is the prevalence of attempts to recover balance by stepping? (2) How often are steps aligned to the direction of the fall? (3) Do the prevalence and characteristics of steps associate with intrinsic and situational factors? METHODS: We collected and analyzed video footage of 1516 falls experienced by 515 residents of LTC (of mean age 82.7 years). Using generalized estimating equations, we tested whether the prevalence, direction and size of steps associated with sex, age, fall direction, activity at the time of falling, cause of imbalance, and holding or grasping objects. RESULTS: Stepping after imbalance was observed in 76% of falls, and 80% of these cases involved multiple steps. The direction of steps aligned with the initial fall direction in 81% of cases. The size of the first step was less than one-half foot length in 64% of cases. Secondary steps tended to be similar in size to the first step. Steps were more common for falls during walking than standing, and for sideways falls. Steps were less common in falls involving held objects, and steps were less likely to be aligned with the fall direction when reach-to-grasp responses were observed. SIGNIFICANCE: Older adults in LTC tended to respond to falls with multiple compensatory steps. Steps were tailored to the direction of the fall, but small in size (less than one-half foot length in size). Exercise programs for fall prevention in older adults should focus on increasing step size to enhance the effectiveness of step recovery responses.

Association Between Falls, Head Impacts, and Mortality Among Older Adults in Long-Term Care.

OBJECTIVES: Residents in long-term care (LTC) are at high risk for falls, and falls in LTC often result in impact to the head, with clinical consequences that may be challenging to detect. We examined whether the survival of LTC residents associates with falls and fall-related head impacts. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: This study was conducted in 2 Vancouver-area LTC homes where falls were captured on video from surveillance cameras. A total of 232 participants (133 females, 99 males) experienced at least 1 fall captured on video, among whom 84% (n = 194) died between January 2011 and January 2020. The mean age at death was 86.5 (SD = 8.5) years, and the mean survival time after enrollment to this study was 3.8 (SD = 2.1) years. METHODS: Univariable and multivariable models were used to determine how survival time depended on the rate of falls (falls per 365 days), the percentage of falls on video involving head impact, sex, age at death, and baseline physical and cognitive status. RESULTS: On average, participants experienced 6.2 (SD = 7.0) falls per 365 days, and 36.9% (SD = 36.3) of video-captured falls resulted in head impact. In multivariable analyses, an increase of 1 fall per 365 days resulted in a 4.2% higher risk of death [hazard ratio (HR) = 1.042, 95% CI 1.023-1.062, P < .001]. A 1% increase in falls involving head impact resulted in an 0.5% higher risk of death (HR 1.005, 95% CI 1.001-1.010, P = .015). Participants who experienced head impact in all video-captured falls had a 50% higher risk for death than those who always avoided head impact. CONCLUSIONS AND IMPLICATIONS: Survival in LTC is associated with the rate of falls and percentage of falls involving head impact. Improved efforts are required to prevent falls in LTC, and reduce the frequency and consequences of head impacts during falls (eg, through compliant flooring).

Going Beyond Conventional Assessment of Developmental Motor Disorders: Exploring Video Methods for Early Identification Among Children 0 to 3 Years.

Motor skills and movement-related functioning significantly shape how children experience and interact with the world around them. Among infants and young children, developmental motor disorders contribute to delays with motor, cognitive, and psychosocial development. Early and accurate identification of these disorders is necessary to facilitate timely access to therapeutic interventions that minimize the long-term effects of disability on everyday activities and participation. In the United States, motor assessments commonly used among children 0 to 3 years focus on completion of specific motor skills at a single point in time, which provides only a part of the greater picture that is a child's motor and movement-related functioning. Video-capture methods, like the General Movements Assessment (GMA) and the Infant Motor Profile (IMP), offer greater accuracy and predictive power to (1) identify motor deficits in young children and (2) facilitate early access to supportive, therapeutic intervention.

Creation of an Interactive Virtual Surgical Rotation for Undergraduate Medical Education During the COVID-19 Pandemic.

OBJECTIVE: During the coronavirus 2019 pandemic, medical student involvement in direct patient care has been severely limited. Rotations mandatory not only for core curricula but also for informing decisions regarding specialty choice have been postponed during a critical window in the application cycle. Existing virtual rotations are largely observational or lack patient-facing components. SETTING: A virtual Otolaryngology - Head and Neck Surgery rotation at the University of Pennsylvania (Philadelphia, Pennsylvania) was implemented for medical students, comprising interactive live-streamed surgeries, outpatient telehealth visits, and virtual small group didactics. RESULTS: Medical students enrolled in the virtual surgical rotation were able to engage with attending surgeons and operating room staff while remotely viewing surgical procedures captured with first-person audiovisual technology. Students participated in several different aspects of care delivery in both the inpatient and outpatient setting, similar to their typical responsibilities of an in-person rotation. CONCLUSIONS: The authors will continue to develop the virtual surgical education methodology to further disseminate an interactive video-based medical student elective to other procedural specialties and institutions.

Evaluation of an interactive virtual surgical rotation during the COVID-19 pandemic.

OBJECTIVE: To evaluate medical student and attending surgeon experiences with a novel interactive virtual Otolaryngology - Head and Neck Surgery (OHNS) medical student elective during the COVID-19 pandemic. STUDY DESIGN: A virtual OHNS elective was created, with three components: (1) interactive virtual operating room (OR) experience using live-stream video-conferencing, (2) telehealth clinic, (3) virtual didactics. SETTING: OHNS Department at the University of Pennsylvania (May 2020 to June 2020). METHODS: Six medical students from the University of Pennsylvania; five attending otolaryngologists. Two surveys were designed and distributed to participating medical students and attending surgeons. Surveys included 5-point Likert scale items, with 1 indicating "not at all" and 5 indicating "very much so". RESULTS: Response rate was 100% for both surveys. Students on average rated the educational value of the telehealth experience as 4.2 ± 1.2, and the virtual OR experience as 4.0 ± 0.6. Most students (n = 5, 83%) indicated that they had enough exposure to faculty they met on this rotation to ask for a letter of recommendation (LOR) for residency if needed, while attending surgeons had an average response of 3.0 ± 1.0 when asked how comfortable they would feel writing a LOR for a student they met through the rotation. A majority of students (n = 4, 67%) felt they connected enough with faculty during the rotation to ask for mentorship. Half the students (n = 5, 50%) indicated that the rotation allowed them to evaluate the department's culture either "extremely well" or "somewhat well". CONCLUSIONS: Overall, participating students described this innovative virtual surgical rotation as an educationally and professionally valuable experience. With the continued suspension of visiting student rotations due to the COVID-19 pandemic, this virtual model may have continued relevance to medical education.

The Effect of Fall Biomechanics on Risk for Hip Fracture in Older Adults: A Cohort Study of Video-Captured Falls in Long-Term Care.

Over 95% of hip fractures in older adults are caused by falls, yet only 1% to 2% of falls result in hip fracture. Our current understanding of the types of falls that lead to hip fracture is based on reports by the faller or witness. We analyzed videos of real-life falls in long-term care to provide objective evidence on the factors that separate falls that result in hip fracture from falls that do not. Between 2007 and 2018, we video-captured 2377 falls by 646 residents in two long-term care facilities. Hip fracture was documented in 30 falls. We analyzed each video with a structured questionnaire, and used generalized estimating equations (GEEs) to determine relative risk ratios (RRs) for hip fracture associated with various fall characteristics. All hip fractures involved falls from standing height, and pelvis impact with the ground. After excluding falls from lower than standing height, risk for hip fracture was higher for sideways landing configurations (RR = 5.50; 95% CI, 2.36-12.78) than forward or backward, and for falls causing hip impact (3.38; 95% CI, 1.49-7.67). However, hip fracture risk was just as high in falls initially directed sideways as forward (1.14; 95% CI, 0.49-2.67), due to the tendency for rotation during descent. Falling while using a mobility aid was associated with lower fracture risk (0.30; 95% CI, 0.09-1.00). Seventy percent of hip fractures involved impact to the posterolateral aspect of the pelvis. Hip protectors were worn in 73% of falls, and hip fracture risk was lower in falls where hip protectors were worn (0.45; 95% CI, 0.21-0.99). Age and sex were not associated with fracture risk. There was no evidence of spontaneous fractures. In this first study of video-captured falls causing hip fracture, we show that the biomechanics of falls involving hip fracture were different than nonfracture falls for fall height, fall direction, impact locations, and use of hip protectors. © 2020 The Authors. Journal of Bone and Mineral Research published by American Society for Bone and Mineral Research.

Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease.

Animal models of human disease provide an in vivo system that can reveal molecular mechanisms by which mutations cause pathology, and, moreover, have the potential to provide a valuable tool for drug development. Here, we have developed a zebrafish model of Parkinson's disease (PD) together with a novel method to screen for movement disorders in adult fish, pioneering a more efficient drug-testing route. Mutation of the PARK7 gene (which encodes DJ-1) is known to cause monogenic autosomal recessive PD in humans, and, using CRISPR/Cas9 gene editing, we generated a Dj-1 loss-of-function zebrafish with molecular hallmarks of PD. To establish whether there is a human-relevant parkinsonian phenotype in our model, we adapted proven tools used to diagnose PD in clinics and developed a novel and unbiased computational method to classify movement disorders in adult zebrafish. Using high-resolution video capture and machine learning, we extracted novel features of movement from continuous data streams and used an evolutionary algorithm to classify parkinsonian fish. This method will be widely applicable for assessing zebrafish models of human motor diseases and provide a valuable asset for the therapeutics pipeline. In addition, interrogation of RNA-seq data indicate metabolic reprogramming of brains in the absence of Dj-1, adding to growing evidence that disruption of bioenergetics is a key feature of neurodegeneration.This article has an associated First Person interview with the first author of the paper.

Effect of Live Attendance and Video Capture Viewing on Student Examination Performance.

Objective. To compare pharmacy students' performance in a therapeutics course after attending live lectures and/or viewing video-recorded lectures. Methods. Attendance was taken during seven lectures spaced equally throughout the therapeutics course. Data on students' viewing of the video-recorded lectures was extracted. Students were grouped based on class attendance and video-viewing behavior; these data were correlated to student performance on examination lecture specific material. The data were also evaluated based on students' final course grade. Results. From each lecture for which data were collected, between 346 and 349 students were included in the analysis, resulting in 2,430 data points. Students who were attended lecture and did not access the video-recorded lecture were associated with better performance on the respective examination than students who were absent and accessed the video-recorded lecture only once (grade=71.0 vs 62.3). Students who attended lecture, regardless of whether they subsequently viewed the video online, were associated with better performance on the examination than students who were absent (70.4 vs 64.0). Among all students who attended lecture, those that also used the video-recorded lecture were associated with similar performance on the examination as those who did not access the video (grade=69.1 vs 71.0). Conclusion. Results from this pilot study demonstrated that live class attendance was associated with higher examination performance than viewing recorded lectures for a therapeutics class. The results of this pilot study can be used to guide future research in understanding how teaching methods affect student performance.

Self-debriefing Model Based on an Integrated Video-Capture System: An Efficient Solution to Skill Degradation.

OBJECTIVE: Video-based teaching is considered highly effective in debriefing, especially in minimally invasive surgeries. In this study, the benefits of using a new integrated video recording system, were investigated and compared to those of the standard basic skills robotic training procedure. DESIGN: Fifty residents from the 2nd and 3rd year medical faculty without any experience of robot usage or laparoscopy were randomized into 2 groups: group A--a natural self-training group without a trainer, and group B--a self-training group assisted by an integrated video recording system during training. The training was divided into four 2-hour sessions, with a 72-hour delay between each session. Two tasks were selected for testing on the dV-Trainer, a virtual reality based robotic simulator: Match board 2 and Thread the Rings 1. After each session, the practice video recorded by the system of group B was transferred to the residents' smartphones for self-debriefing. At the end of each session, the performance score was evaluated automatically by using the simulator to plot learning curves A and B. RESULTS: Group A showed a significant drop in performance score due to skill decay caused by the 72-hour delay. Group B exhibited a regular stepwise rising learning curve. At the end of the training, group B showed a significantly higher performance score both in Match board 2 and Thread the Rings 1. The autoanalysis and capture function, which selects only the critical errors and most valuable parts, could facilitate time saving. CONCLUSIONS: The use of an integrated video recording system makes the self-manipulated protocol with own smartphone feasible to improve training efficiency and overcome the skill decay during robotic surgical training.

Management of a patient's gait abnormality using smartphone technology in-clinic for improved qualitative analysis: A case report.

BACKGROUND AND PURPOSE: Qualitative analysis has its limitations as the speed of human movement often occurs more quickly than can be comprehended. Digital video allows for frame-by-frame analysis, and therefore likely more effective interventions for gait dysfunction. Although the use of digital video outside laboratory settings, just a decade ago, was challenging due to cost and time constraints, rapid use of smartphones and software applications has made this technology much more practical for clinical usage. CASE DESCRIPTION: A 35-year-old man presented for evaluation with the chief complaint of knee pain 24 months status-post triple arthrodesis following a work-related crush injury. In-clinic qualitative gait analysis revealed gait dysfunction, which was augmented by using a standard IPhone® 3GS camera. After video capture, an IPhone® application (Speed Up TV®, https://itunes.apple.com/us/app/speeduptv/id386986953?mt=8 ) allowed for frame-by-frame analysis. Corrective techniques were employed using in-clinic equipment to develop and apply a temporary heel-to-toe rocker sole (HTRS) to the patient's shoe. OUTCOMES: Post-intervention video revealed significantly improved gait efficiency with a decrease in pain. The patient was promptly fitted with a permanent HTRS orthosis. This intervention enabled the patient to successfully complete a work conditioning program and progress to job retraining. DISCUSSION: Video allows for multiple views, which can be further enhanced by using applications for frame-by-frame analysis and zoom capabilities. This is especially useful for less experienced observers of human motion, as well as for establishing comparative signs prior to implementation of training and/or permanent devices.

An automated system for video documentation of all instances of fundamentals of laparoscopic surgery training: feasibility and potential advantages of extended assessment.

INTRODUCTION: Documentation of the acquisition of surgical skills is mandated during and after training. Assessment-driven feedback interspersed during Fundamentals of Laparoscopic Surgery (FLS) training is expected to improve the quality of practice and increase skill acquisition. But the direct observation of FLS task performance by experts required to form this feedback is not feasible because of staffing and cost limits. Video recordings can reproduce a display of FLS task performance identical to the original camera view and can provide the critical observations needed for FLS assessment. METHODS: We report the design and operation of an automated system for the capture of digital video clips of all FLS practice trials and for the support of remote, distributed assessments. RESULTS: Advantages included permanent documentation of performance, quality controlled assessment by non-Medical Doctor personnel, accurate quantification of practice frequency, and emergence of new observations on patterns of intermediate skill development. The completeness and accuracy of the dataset support analyses of group learning rates and lay the foundation for scientific training curriculum development. CONCLUSIONS: We conclude that video documentation of FLS training is feasible and worthwhile.