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Range of Motion, Articular

Range of Motion, Articular is a term that refers to the measurement of the extent of movement around a joint.
This metric is crucial in evaluating joint function, assessing musculoskeletal disorders, and tracking rehabilitation progress.
Researchers and clinicians use range of motion assessments to inform treatment decisions, monitor patient outcomes, and enhance the reproducibilty of their studies.
PubCompare.ai's AI-driven comparisons can help locate the best protocols and produts from literature, preprints, and patents to optimize range of motion research, empowering informed decisions and improving the accuracy and reproducibility of this important measurment.
Explore the power of AI-driven reseach with PubCompare.ai to enhance your range of motion studies.

Most cited protocols related to «Range of Motion, Articular»

Potential labels for the EQ-5D-5L were identified from a review of existing health-related quality-of-life instruments, a review of the literature on response scaling, hand searching of dictionaries and thesauruses, and informal interviews with native speakers of the target languages to establish how they described different severities of health problems. The same process was carried out in English and Spanish and, where possible, equivalent terms were sought in both languages. Labels included in the initial pool clearly had to fit with the lexical structure used in the EQ-5D-3L, such as ‘I have no problems doing my usual activities’ and ‘I have some problems doing my usual activities’.
In order to select labels from the pool for the new levels, an interviewer-administered response scaling exercise similar to those used in previous studies [14 (link), 19 , 20 (link)] was adopted to estimate the severity represented by each label. For this exercise, respondents were shown a rating scale in the form of a vertical, hash-marked, 40 cm visual analog scale (VAS) with end points of 0 and 100 to be used as a visual aid in grading label severity. For the Mobility, Self-Care and Usual Activities dimensions, the same set of labels was used. The interviewer placed a card labeled ‘No problems’, ‘No pain/discomfort’, or ‘No anxiety/depression’ as appropriate at the bottom of the scale (0) to act as the lower anchor and a card labeled ‘Unable to, ‘The worst pain or discomfort I can imagine’, ‘As anxious or depressed as I can imagine’ as the upper anchor (100). The respondent was then shown other labels from the pool singly in a quasi-random order and asked to assign a score between 0 and 100 to indicate label severity in relation to the lower and upper anchors.
The interviewer noted all scores, and when the respondent had rated all labels for a particular dimension, the interviewer laid them out in rank order alongside the VAS and asked the respondent to review the ranking and make any changes he or she thought necessary. If labels were reordered at this point, the respondent was asked to assign a new score to the relevant labels. Final scores assigned were recorded in an answer booklet. The scaling task was repeated for each dimension. Before finishing with the cards, the respondent was asked whether any of the labels sounded unusual, or should not be used in relation to a particular dimension.
Respondents rated labels for all five dimensions. The three functional dimensions (Mobility, Self-Care and Usual Activities) were always interspersed by the Pain/Discomfort and Anxiety/Depression dimensions, so that the respondent did not rate the same label types consecutively. Before rating the actual labels, respondents performed a practice task based on levels of overall health to get used to the study requirements. Data on age, level of education, main activity, and use of any current treatment for health problems, together with the existing EQ-5D-3L descriptive system and EQ-VAS, were collected after the response scaling task.
Before the main response scaling task, a pilot test was performed to test study procedures and materials. Based on the results of the pilot study, some labels were eliminated from the initial pool to achieve a more manageable number for the response scaling task. In particular, any labels using additional modifiers such as ‘very’ or ‘quite’ were eliminated as were any that were considered excessively colloquial or too high a level of language. After pilot testing, it was concluded that the feasible limit was about 10–12 labels per dimension for an individual respondent.
Responses to the scaling task were analyzed by calculating means and medians and the corresponding standard deviations and interquartile ranges (IQR). Labels to go forward for further testing were selected based on criteria that had been identified before data collection started. These included selecting labels close to or at the 25th, 50th, and 75th centiles on the VAS, ensuring consistency across dimensions and coherence with wording in the descriptive system. No quantitative comparison of label scores was carried out in deciding which labels to carry forward to the next stage; median scores were simply used as a guide to determine which labels fell closest to the 25th, 50th, and 75th centiles. Labels were also required to be in colloquial language. The choice of labels and their appropriateness was discussed by the task force at several meetings during the course of the study.
Publication 2011
Anxiety Hispanic or Latino Interviewers Marijuana Abuse Pain Range of Motion, Articular Visual Analog Pain Scale
We describe here application of the UniDec approach to problems of increasing complexity: membrane protein AqpZ; small heat shock proteins HSP17.7, HSP16.5, and αB-crystallin; and lipoprotein Nanodiscs.
MS and IM-MS data of aquaporin Z (AqpZ) with bound 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) obtained at 100 V accelerating potential into a dedicated collision cell was analyzed using UniDec by limiting the mass range to between 95 and 105 kDa.27 (link) An example of how the algorithm performs without mass limitations is shown in Figure S-2. Data was smoothed in MassLynx 4.1 software (Waters Corp.) before analysis with Transform and MaxEnt, which used the same mass limitation.
Deconvolution of subunit exchange data from HSP17.7 was performed by limiting the allowed mass range to between 211 kDa and 222 kDa. Tandem MS spectra of the isolated +47 charge state of HSP16.5 24-mers were summed across multiple collision voltages to compile an aggregate spectrum.28 (link) Deconvolution was performed by limiting the charge state between 10 and 49 and manually defining the +47 charge state, which was necessary because only one charge state was isolated in the MS/MS experiment. Collision induced dissociation (CID) spectra of αB-crystallin were obtained similarly. Masses were limited to within 3000 Da of a wide range of potential oligomer complexes ranging from 1 to 74 subunits of a 20085 Da monomer. Charge was limited to between 5 and 84. In addition to the charge-smooth filter, a mass-smooth filter was applied to smooth the distribution of dimer units.
Nanodiscs with 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) and POPC were analyzed with a linear drift cell Waters Synapt G1 ion mobility-mass spectrometer.29 (link) Data was deconvolved without a charge filter but by using a mass filter to smooth the distribution of lipids. Masses were limited to between 100 kDa and 175 kDa. Conversion from arrival time to collision cross section (CCS) was performed using the Mason-Schamp equation as described previously,27 (link),29 (link) using t0 values calibrated from alcohol dehydrogenase analyzed under the same instrumental conditions.
Publication 2015
Cells Crystallins Dehydrogenase, Alcohol Dimyristoylphosphatidylcholine Glycerylphosphorylcholine GPER protein, human Heat-Shock Proteins, Small Lipids Lipoproteins Phosphorylcholine plasma protein Z Protein Subunits Range of Motion, Articular Tandem Mass Spectrometry Tissue, Membrane Water Channel
The 3L version of the EQ-5D is the initial version that has been used in many clinical trials and methodological studies published in the peer-reviewed literature [1 (link)]. It is a brief self-reported generic measure of current health that consists of five dimensions (Mobility, Self-Care, Usual Activities, Pain/Discomfort, and Anxiety/Depression), each with three levels of functioning (no problems, some problems, and unable to/extreme problems). This health state classification describes 243 unique health states that are often reported as vectors ranging from 11111 (full health) to 33333 (worst health). Societal value sets have been derived from population-based valuation studies around the world that, when applied to the health state vectors, result in preference-based index values that typically range from states worse than dead (<0), to 1 (full health), anchoring dead at 0. In addition, the EQ-5D includes an EQ-VAS where own health “today” is rated on a scale from 0 (worst imaginable health) to 100 (best imaginable health).
In developing the 5L, the five-dimensional structure of the 3L was retained, but the descriptors within each dimension were adapted to a 5-level system based on qualitative and quantitative studies conducted by the EuroQol group [19 (link)]. The labels for 5L followed the format no problems, slight problems, moderate problems, severe problems, and unable to/extreme problems for all dimensions. For Mobility, the description of “confined to bed” was changed to “unable to walk about.” Additionally, for Usual Activities, the word “performing” was changed to “doing” (English for UK version). The official EQ-5D-3L and EQ-5D-5L language versions for each country were used.
For the purposes of the current study, respondents also rated their own health “today” on five dimension-specific rating scales, one for each of the EQ-5D dimensions. Each scale consisted of a horizontal hash-marked line (from 0 to 100) with corresponding numbers (0, 10, 20, …, 100). The descriptive anchors at each end of the scales were the same anchors as used in the 3L and 5L, that is, no problems and unable to/extreme problems.
Convergent validity was assessed by comparing the 3L and 5L dimensions to the WHO-5 Well Being questionnaire. The WHO-5 captures well-being and was developed from the World Health Organization-Ten Well-Being Index [24 (link), 25 (link)]. It was conceptualized as a unidimensional measure that contains five positively worded items: “I have felt cheerful and in good spirits”; “I have felt calm and relaxed”; “I have felt active and vigorous”; “I woke up feeling fresh and rested”; and “My daily life has been filled with things that interest me,” all operationalized using a six-point Likert scale ranging from 0 (not present) to 5 (constantly present). A sum-score can be calculated as a summary measure.
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Publication 2012
Anxiety BAD protein, human Cloning Vectors Generic Drugs Marijuana Abuse Pain Range of Motion, Articular
The HOOS is an adaptation of the KOOS [11 ,13 (link)] intended to evaluate symptoms and functional limitations related to the hip. The HOOS consists of 40 items, selected from 51 original items (tables 1 and 2), assessing five separate patient-relevant dimensions: Pain (P) (ten items); Symptoms (S) including stiffness and range of motion (five items); Activity limitations-daily living (A) (17 items); Sport and Recreation Function (SP) (four items); and Hip Related Quality of Life (Q) (four items).
The HOOS contains all WOMAC LK 3.0 questions in unchanged form [5 ]. WOMAC scores can thus be calculated from the HOOS questionnaire. The HOOS dimension Activity of Daily Living is equivalent to that of Function in the WOMAC.
To answer each question, five Likert-boxes were used (no, mild, moderate, severe, extreme). All items were scored from zero to four, and each of the five subscales was calculated as the sum of the items included. To enhance the interpretation, HOOS is transformed into a 0–100 worst to best scale [14 (link),15 (link)]. The subscores can be presented graphically as a HOOS profile (Fig. 1). Missing data were treated as such; one or two missing values were substituted with the average value for the dimension. If more than two items were omitted, the response for this dimension was considered invalid. Questions and answer options are given in Table 1. The questionnaire and users guide can be found on the web site . The instrument is self-administered and takes seven to 10 minutes to complete.
Publication 2003
Acclimatization Pain Patients
Gait speed was calculated for each participant using distance in meters and time in seconds. All studies used instructions to walk at usual pace and from a standing start. The walk distance varied from 8 ft to 6 m. For 8 ft, we converted to 4-m gait speed by formula.24 (link) For 6 m, we created a conversion formula (4-m speed=−0.0341 + (6-mspeed)×0.9816 withR2=0.93, based on a cohort of 61 individuals with concurrent 4- and 6-m walks). For 15 feet (4.57 m),23 (link) speed was simply meters divided by time. Where available, data on fast gait speed (walk as fast as comfortably able25 (link)) and the Short Physical Performance Battery were obtained.26 (link) Survival for each individual used study monitoring methods, including the National Death Index and individual study follow-up. Time from gait speed baseline to death was calculated in days. Five-year survival status was confirmed for more than 99% of participants.
Additional variables include sex, age, race/ethnicity (white, black, Hispanic, other, defined by participant), height(centimeters), weight(kilograms), body mass index (BMI), calculated as weight in kilograms divided by height in meters squared (<25, 25–30, and >30), smoking (never, past, current), use of mobility aids (none, cane, walker), systolic blood pressure, self-reports of health (excellent or very good vs good, fair, or poor), hospitalization in the past year (yes/no), and physician-diagnosed medical conditions (cancer, arthritis, diabetes, and heart disease, all yes/no). Measures of self-reported functional status were not collected in all studies and varied in content and form. We created a dichotomous variable reflecting dependence in basic activities of daily living (ADLs) based on report of being unable or needing help from another person to perform any basic activity, including eating, toileting, hygiene, transfer, bathing, and dressing. For individuals independent in ADLs, we created a dichotomous variable reflecting difficulty in instrumental ADLs based on report of difficulty or dependence with shopping, meal preparation, or heavy housework due to a health or physical problem. Participants were then classified into 1 of 3 groups; dependent in ADLs, difficulty with instrumental ADLs, or independent. Physical activity data were collected in 6 studies, but time frames and items varied widely. Two studies used the Physical Activity Scale for the Elderly (PASE).27 (link) We dichotomized the PASEs core at 100.28 (link) We created operational definitions of other covariates that were reasonably consistent across studies. Covariates were identical for height, weight, BMI, and systolic blood pressure. Hospitalization within the prior year was determined largely by self-report, and chronic conditions were by self-report of physician diagnosis, with heart disease encompassing angina, coronary artery disease, heart attack, and heart failure.
Publication 2011
Acquired Immunodeficiency Syndrome Aged Angina Pectoris Arthritis Canes Chronic Condition Congestive Heart Failure Coronary Artery Disease Diabetes Mellitus Diagnosis Ethnicity Foot Heart Diseases Hispanics Hospitalization Index, Body Mass Malignant Neoplasms Myocardial Infarction Neoplasm Metastasis Performance, Physical Physical Examination Physicians Range of Motion, Articular Reading Frames Systolic Pressure Walkers

Most recents protocols related to «Range of Motion, Articular»

Example 3

Testing Surface Potential of Haematopoietic Cells and Neutrophils

Electrophoresis is used to investigate the surface potential variation in haematopoietic cells (e.g. haematopoietic stem cells, and/or precursor cells) and neutrophils by measuring the electrophoretic mobility. The suspended cells are collected from culture, by mechanical detachment and collection from the culture substrate. Collected cells are redistributed in an electrophoresis buffer solution containing 10 mM Tris-HCl and 291 mM glucose, and are introduced into a rectangular glass electrophoresis chamber. 200V DC is applied across the electrophoresis chamber. The electrophoretic velocity of cells, u, is measured by recording the time needed for cells passing a fixed length with 3 mA under a microscope with a CCD camera. The electrophoretic mobility, p, is calculated by μ=ugS/I, where g is the conductivity of medium, S is the cross-sectional area of the electrophoresis chamber, and/is the current. For each condition typically at least 9 readings are performed to calculate cell electrophoretic mobility.

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Patent 2024
Buffers Cells Electric Conductivity Electrophoresis Glucose Hematopoietic System Malignant Neoplasms Microscopy Neutrophil Range of Motion, Articular Stem Cells, Hematopoietic Tromethamine

Example 3

A 20 year-old overweight male subject with poor blood circulation, excess lactic acid, weak arms, weak joint and muscle mobility, and—is positioned in a 360-degree full body light therapy device. The 360-degree light therapy device is configured as follows: (a) a first type of light emitting diode (LED) emits a wavelength of 650 nm, (b) a second type of LED emits a wavelength of 800 nm, (c) a third type of LED emits a wavelength of about 835 nm, and (d) a fourth type of LED emits a wavelength of about 1000 nm.

The light therapy device has: 11520 first LED types (about 25.6% of the total LEDs), 5760 second LED types (about 12.8% of the total LEDs), 21960 third LED types (about 48.8% of the total LEDs), and 11520 fourth LED types (about 25.6% of the total LEDs). The LEDs emit with a power density of about 80 mW/cm2. The LEDs emit power at about 50 Joules/cm2 in a time period of about 10 minutes. The light therapy device is configured to pulse at a rate of about 5 kHz with an 85% duty cycle.

The subject undergoes a 30-minute session of irradiation once per week 8 straight weeks. After the 8 weeks of treatment, the subject loses 3% of previous body weight, increases weight-lifting ability by about 10% in the arms, and increases mobility by about 5%.

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Patent 2024
Aftercare Arm, Upper Blood Circulation Body Weight Debility Enzyme Multiplied Immunoassay Technique Joints Lactic Acid Light Males Medical Devices Muscle Tissue Phototherapy Pulse Rate Radiotherapy Range of Motion, Articular Upper Extremity Paresis

Example 2

Samples of DNA markers (1 kb Extend marker, New England Biolabs) was loaded into sample well of two lanes of a SageHLS cassette. The DNA was separated and electroeluted in using the following electrophoresis conditions: 0.75% agarose, 50 mM Tris, 29 mM TAPS, 0.1 mM EDTA, pH 8.7, 55 V continuous field (DC), 50 minutes, gel temperature 30° C. Electroeluted fractions from all elution wells were analyzed on an analytical agarose slab gel (FIGS. 11A-11B). Evidence of electrophoretic mobility compression in the HLS separation run is seen in Fraction #2 (that is, fragments 10-48.5 kb comigrate and are found together in fraction #2, and no DNA is found in Fraction #1). Therefore, due to the compression phenomenon, under these conditions, all DNA greater than 10 kb will be found in fraction #2. Fractions #5 and #6 contain fragments ranging from 1-2 kb.

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Patent 2024
Edetic Acid Electrophoresis Figs Markers, DNA Range of Motion, Articular Sepharose Tromethamine Vision
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Example 1

A dose of 50 mg/kg of lipopolysaccharide (LPS) corresponds to the “lethal dose for 50 percent kill” that kills half of the population within 24 hours. Mice were subjected to intraperitoneal injection of 50 mg/kg LPS in 1×PBS for a vehicle control, and when the mice showed the signs of the moribund state, such as impaired motility, labored breathing, or inability to maintain an upright position, the mice were sacrificed by CO2 euthanasia, and the point was recorded as a humane endpoint. (The signs of the moribund state: impaired mobility, inability to maintain upright position, prolonged lack of activity and labored breathing)

All animal studies were performed according to protocols approved by Kyungpook National University (permit No. 2019-0003) and under recommendations for the proper use and care of the specific pathogen-free housing facility at Kyungpook University.

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Patent 2024
Animals Euthanasia Injections, Intraperitoneal Lipopolysaccharides Motility, Cell Mus Range of Motion, Articular Sepsis Specific Pathogen Free

Example 1

Scott is 85 years old and lives in a two-story building, where his bedroom is located on the second floor. Scott has vision and hearing impairments and has fallen twice in the past three months while climbing/descending the stairs. The risk of injury to Scott may be substantially reduced by using a wristband device equipped with a haptic sensor module and actuators that are controlled in accordance with the embodiments described herein. For instance, when using the stairs, the haptic feedback module may respond to signals from the signal analysis module to deliver a single short vibration to Scott's wrist, indicating that he is within one stair distance to the floor. The system may also be configured to deliver a number of short vibrations indicating the number of stairs left (e.g., 3 short vibrations indicating 3 steps left).

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Patent 2024
Hearing Impairment Injuries Medical Devices Range of Motion, Articular Vibration Vision Wrist

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More about "Range of Motion, Articular"

Joint Range of Motion (ROM) refers to the measurement of the extent of movement around a joint.
This crucial metric is used to evaluate joint function, assess musculoskeletal disorders, and track rehabilitation progress.
Clinicians and researchers employ range of motion assessments to inform treatment decisions, monitor patient outcomes, and enhance the reproducibility of their studies.
Utilizing advanced AI-driven comparisons from PubCompare.ai, researchers can locate the best protocols and products from literature, preprints, and patents to optimize their range of motion research.
This empowers informed decisions and improves the accuracy and reproducibility of this vital measurement.
Malvern's Zetasizer Nano ZS and Zetasizer Nano ZS90 instruments, along with the powerful MATLAB software, can provide valuable insights into particle size and zeta potential characteristics that may be relevant to range of motion research.
The TimsTOF Pro mass spectrometer can also offer advanced analytical capabilities to support this area of study.
By leveraging the power of AI-driven research with PubCompare.ai, researchers can enhance their range of motion studies, leading to more informed decisions, improved reproducibility, and better patient outcomes.
Explore the capabilities of PubCompare.ai to take your joint range of motion research to the next level.