Motion Patterns in Acupuncture Needle Manipulation

2014 ◽  
Vol 32 (5) ◽  
pp. 394-399 ◽  
Author(s):  
Yoonjeong Seo ◽  
In-Seon Lee ◽  
Won-Mo Jung ◽  
Ho-Sun Ryu ◽  
Jinwoong Lim ◽  
...  
Keyword(s):  
Individual Variability ◽  
Regression Curve ◽  
Average Amplitude ◽  
Motion Patterns ◽  
Motion Data ◽  
Regression Curves ◽  
Time Motion ◽  
Motion Unit ◽  
Individual Consistency ◽  
Mixed Modelling

Background In clinical practice, acupuncture manipulation is highly individualised for each practitioner. Before we establish a standard for acupuncture manipulation, it is important to understand completely the manifestations of acupuncture manipulation in the actual clinic. To examine motion patterns during acupuncture manipulation, we generated a fitted model of practitioners’ motion patterns and evaluated their consistencies in acupuncture manipulation. Methods Using a motion sensor, we obtained real-time motion data from eight experienced practitioners while they conducted acupuncture manipulation using their own techniques. We calculated the average amplitude and duration of a sampled motion unit for each practitioner and, after normalisation, we generated a true regression curve of motion patterns for each practitioner using a generalised additive mixed modelling (GAMM). Results We observed significant differences in rotation amplitude and duration in motion samples among practitioners. GAMM showed marked variations in average regression curves of motion patterns among practitioners but there was strong consistency in motion parameters for individual practitioners. The fitted regression model showed that the true regression curve accounted for an average of 50.2% of variance in the motion pattern for each practitioner. Conclusions Our findings suggest that there is great inter-individual variability between practitioners, but remarkable intra-individual consistency within each practitioner.

scholarly journals What GPs do and what gets in their way: a mixed-methods study

2021 ◽  
pp. BJGP.2021.0357
Author(s):  
Carol Sinnott ◽  
Jordan M Moxey ◽  
Sonja Marjanovic ◽  
Brandi Leach ◽  
Lucy Hocking ◽  
...  
Keyword(s):  
Primary Care ◽  
Mixed Method ◽  
Qualitative Data ◽  
Mixed Methods Study ◽  
Task Completion ◽  
Work Systems ◽  
Motion Data ◽  
Time Motion ◽  
General Practices ◽  
Operational Failures

Background: Though problems that impair task completion – known as operational failures – are an important focus of concern in primary care, they have remained little studied. Aim: To quantify the time general practitioners (GPs) spend on different activities during clinical sessions; to identify the number of operational failures they encountered; and to characterise the nature of operational failures and their impacts for GPs. Design and setting: Mixed-method triangulation study with 61 GPs in 28 NHS general practices. Method: Time-motion methods, ethnographic observations and interviews. Results: Time-motion data on 7679 GP tasks during 238 hours of practice in 61 clinical sessions suggested that operational failures were responsible for around 5.0% (confidence interval 4.5 to 5.4) of all tasks undertaken by GPs and accounted for 3.9% (3.2 to 4.5) of clinical time. However, qualitative data showed that time-motion methods, which depend on pre-programmed categories, substantially underestimated operational failures. Qualitative data also enabled further characterisation of operational failures, extending beyond those measured directly in the time-motion data (eg, interruptions, deficits in equipment/supplies and technology) to include problems linked to GPs’ coordination role and weaknesses in work systems and processes. The impacts of operational failures were highly consequential for GPs’ experiences of work. Conclusion: GPs experience frequent operational failures, disrupting patient care, impairing experiences of work, and imposing burden in an already pressurised system. Better understanding of the nature and impact of operational failures allows identification of targets for improvement and indicates the need for coordinated action to support GPs.

An Efficiency Evaluation of Protocols for Tight Glycemic Control in Intensive Care Units

2007 ◽  
Vol 16 (6) ◽  
pp. 589-598 ◽  
Author(s):  
Mark A. Malesker ◽  
Pamela A. Foral ◽  
Ann C. McPhillips ◽  
Keith J. Christensen ◽  
Julie A. Chang ◽  
...  
Keyword(s):  
Intensive Care ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Intensive Care Units ◽  
Tight Glycemic Control ◽  
Third Party ◽  
Full Time ◽  
Motion Data ◽  
Time Motion ◽  
The Impact

Background The efficiency of protocols for tight glycemic control is uncertain despite their adoption in hospitals. Objectives To evaluate the efficiency of protocols for tight glycemic control used in intensive care units. Methods Three separate studies were performed: (1) a third-party observer used a stopwatch to do a time-motion analysis of patients being treated with a protocol for tight glycemic control in 3 intensive care units, (2) charts were retrospectively reviewed to determine the frequency of deviations from the protocol, and (3) a survey assessing satisfaction with and knowledge of the protocol was administered to full-time nurses. Results Time-motion data were collected for 454 blood glucose determinations from 38 patients cared for by 47 nurses. Mean elapsed times from blood glucose result to therapeutic action were 2.24 (SD, 1.67) minutes for hypoglycemia and 10.65 (SD, 3.24) minutes for hyperglycemia. Mean elapsed time to initiate an insulin infusion was 32.56 (SD, 12.83) minutes. Chart review revealed 734 deviations from the protocol in 75 patients; 57% (n = 418) were deviations from scheduled times for blood glucose measurements. The mean number of deviations was approximately 9 per patient. Of 60 nurses who responded to the workload survey, 42 (70%) indicated that the protocol increased their workload; frequency of blood glucose determinations was the most common reason. Conclusions Nurses spend substantial time administering protocols for tight glycemic control, and considerable numbers of deviations occur during that process. Further educational efforts and ongoing assessment of the impact of such protocols are needed.

scholarly journals A real-time locating system observes physician time-motion patterns during walk-rounds: a pilot study

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
David R Ward ◽  
William A Ghali ◽  
Alecia Graham ◽  
Jane B Lemaire
Keyword(s):  
Pilot Study ◽  
Real Time ◽  
Motion Patterns ◽  
Time Motion ◽  
Physician Time ◽  
Locating System

scholarly journals Physical fitness predicts technical-tactical and time-motion profile in simulated Judo and Brazilian Jiu-jitsu matches

2018 ◽  
Author(s):  
Victor S Coswig ◽  
Paulo Gentil ◽  
João CA Bueno ◽  
Bruno Follmer ◽  
Vitor A Marques ◽  
...  
Keyword(s):  
Physical Fitness ◽  
High Intensity ◽  
Prediction Models ◽  
Male Athletes ◽  
Motion Patterns ◽  
Performance Variables ◽  
Time Motion ◽  
Notational Analysis ◽  
Physical Tests ◽  
Metabolic Fitness

Background: Among combat sports, Judo and Brazilian Jiu-Jitsu (BJJ) present elevated physical fitness demands from the high-intensity intermittent efforts. However, information regarding how metabolic and neuromuscular physical fitness is associated with technical-tactical performance in Judo and BJJ fights is not available. This study aimed to relate indicators of physical fitness with combat performance variables in Judo and BJJ. Methods: The sample consisted of Judo (n = 16) and BJJ (n = 24) male athletes. At the first meeting, the physical tests were applied and, in the second, simulated fights were performed for later notational analysis. Results: The main findings indicate: i) high reproducibility of the proposed instrument and protocol used for notational analysis in a mobile device; ii) differences in the technical-tactical and time-motion patterns between modalities; iii) performance-related variables are different in Judo and BJJ; and iv) regression models based on metabolic fitness variables may account for up to 53% of the variances in technical-tactical and/or time-motion variables in Judo and up to 31% in BJJ, whereas neuromuscular fitness models can reach values up to 44 and 73% of prediction in Judo and BJJ, respectively. When all components are combined, they can explain up to 90% of high intensity actions in Judo. Discussion: In conclusion, performance prediction models in simulated combat indicate that anaerobic, aerobic and neuromuscular fitness variables contribute to explain time-motion variables associated with high intensity and technical-tactical variables in Judo and BJJ fights.

scholarly journals Evaluation of real time motion tracking accuracy of customised IMU sensor for application in a mobile badminton virtual reality training system

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Zahari Taha ◽  
Mohd Yashim Wong ◽  
Hwa Jen Yap ◽  
Amirul Abdullah ◽  
Wee Kian Yeo
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Motion Tracking ◽  
Training System ◽  
Microsoft Kinect ◽  
Measurement Unit ◽  
Tracking Accuracy ◽  
Improve Performance ◽  
Motion Data ◽  
Time Motion

Immersion is one of the most important aspects in ensuring the applicability of Virtual Reality systems to training regimes aiming to improve performance. To ensure that this key aspect is met, the registration of motion between the real world and virtual environment must be made as accurate and as low latency as possible. Thus, an in-house developed Inertial Measurement Unit (IMU) system is developed for use in tracking the movement of the player’s racquet. This IMU tracks 6 DOF motion data and transmits it to the mobile training system for processing. Physically, the custom motion is built into the shape of a racquet grip to give a more natural sensation when swinging the racquet. In addition to that, an adaptive filter framework is also established to cope with different racquet movements automatically, enabling real-time 6 DOF tracking by balancing the jitter and latency. Experiments are performed to compare the efficacy of our approach with other conventional tracking methods such as the using Microsoft Kinect. The results obtained demonstrated noticeable accuracy and lower latency when compared with the aforementioned methods.

scholarly journals Production economics: comparing hybrid tree-length with whole-tree harvesting methods

2020 ◽  
Vol 93 (3) ◽  
pp. 389-400 ◽  
Author(s):  
Harikrishnan Soman ◽  
Anil Raj Kizha ◽  
Bethany Muñoz Delgado ◽  
Laura S Kenefic ◽  
Keith Kanoti
Keyword(s):  
Management Practice ◽  
Production Economics ◽  
Motion Data ◽  
Time Motion ◽  
Advance Regeneration ◽  
Processing Cost ◽  
Implementation Costs ◽  
Tree Length ◽  
Whole Tree Harvesting ◽  
Whole Tree

Abstract Felled trees with tops and branches are transported to the landing with a grapple skidder in conventional ground-based whole-tree (WT) harvesting. This method has greater potential to damage advance regeneration than those in which trees are processed at-stump. Hybrid tree-length (Hyb TL) harvesting using an stroke-boom delimber for in-woods processing might be a feasible alternative, but little is known about the production economics of this method. An experimental strip-cutting study was conducted in central Maine, US in the winter of 2018 to: (1) evaluate and compare operational productivity and costs of ground-based Hyb TL and WT methods; (2) identify factors influencing productivity of at-stump and at-landing log processing; and (3) calculate best management practice (BMP) implementation costs in WT harvesting. Time-motion data were recorded for operational phases such as felling, extraction, processing, sorting and loading; machine rates were calculated to determine productivity and costs of operations. Total cost of Hyb TL (US $17.01 m−3) was lower than that of WT ($18.38 m−3). Processing cost was lower at-stump than at-landing ($2.66 and $2.73 m−3 for Hyb TL and WT, respectively). This is likely due to fewer logs handled per cycle at-landing (1.2 logs per turn) compared to the number handled per cycle at-stump (1.4 logs per turn). Sensitivity analysis showed that a 30-m increase in average in-woods distance travelled by the delimber would result in a 41 per cent increase in the processing cost. Cost of BMP implementation in WT was $2.25 m−3 or $59.2 per productive machine hour. Results suggest that it is feasible to apply Hyb TL method in an industrial harvesting operation, though distance of in-woods delimber movement influences processing costs. Insights from this study will help forest managers and loggers efficiently plan and execute harvesting operations.

Real Time Motion Data Preprocessing

2010 ◽  
Vol 61 (4) ◽  
pp. 247-251 ◽  
Author(s):  
Peter Benický ◽  
Ladislav Jurišica
Keyword(s):  
Image Processing ◽  
Data Processing ◽  
Real Time ◽  
Motion Picture ◽  
Data Preprocessing ◽  
Important Data ◽  
Motion Data ◽  
Redundant Data ◽  
Time Motion

Real Time Motion Data PreprocessingThere is a lot of redundant data for image processing in an image, in motion picture as well. The more data for image processing we have, the more time is needed for preprocessing it. That is why we need to work with important data only. In order to identify or classify motion, data processing in real time is needed.

scholarly journals Real‐time motion data annotation via action string

2014 ◽  
Vol 25 (3-4) ◽  
pp. 291-300 ◽  
Author(s):  
Tian Qi ◽  
Jun Xiao ◽  
Yueting Zhuang ◽  
Hanzhi Zhang ◽  
Xiaosong Yang ◽  
...  
Keyword(s):  
Real Time ◽  
Data Annotation ◽  
Motion Data ◽  
Time Motion

Method Development for Describing Content of Multitasked Interventions Using the Omaha System

2019 ◽  
Vol 33 (2) ◽  
pp. 147-168 ◽  
Author(s):  
Merve Altiner ◽  
Selda Secginli ◽  
Michelle A. Mathiason ◽  
Karen A. Monsen
Keyword(s):  
Health Center ◽  
Method Development ◽  
Family Health ◽  
Cost Effective ◽  
Nursing Process ◽  
Motion Data ◽  
Time Motion ◽  
Nurse Midwife ◽  
Omaha System ◽  
Visualization Techniques

BackgroundUnderstanding multitasking within nursing and midwifery is needed for efficient, effective, and cost-effective health services. Methods are needed to measure and analyze multitasking in alignment with the nursing process. The Omaha System operationalizes the nursing process and may be a valuable resource for multitasking analysis.PurposeThe purpose of this study was to develop and test a method for describing intervention content of nurse/midwife multitasked interventions using the Omaha System and Time Capture Tool (TimeCaT) in a family health center in Turkey.MethodsEight nurses/midwives were observed with TimeCaT in a family health center in 2016. Preidentified 84 nurse/midwife interventions employed in the center were mapped on Omaha System terms and entered in TimeCaT software for data collection. Co-occurring interventions were analyzed using descriptive and inferential statistics and visualization techniques.ResultsOf 1066.8 total minutes observed, 34.0% included more than one intervention that occurred at the same time. Caretaking/parenting and postpartum problems, teaching, guidance, and counseling category, and caretaking/parenting skills target were more often multitasked than others.Implications for PracticeIt was feasible to use the Omaha System and TimeCaT to categorize, describe, and measure multitasking nursing/midwifery interventions. This method may be applied to other time–motion data when more than one co-occurring intervention is recorded.

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