scholarly journals High prevalence of gait abnormalities in pugs

2018 ◽  
Vol 182 (6) ◽  
pp. 167-167 ◽  
Author(s):  
Cecilia Rohdin ◽  
Karin Hultin Jäderlund ◽  
Ingrid Ljungvall ◽  
Kerstin Lindblad-Toh ◽  
Jens Häggström
Keyword(s):  
Prospective Study ◽  
Kennel Club ◽  
Future Studies ◽  
Video Footage ◽  
Gait Abnormality ◽  
Abnormal Gait ◽  
High Prevalence ◽  
Associated Conditions ◽  
Health Disorders ◽  
Gait Abnormalities

The objective of this prospective study was to determine the prevalence of gait abnormalities in a cohort of Swedish pugs by using an owner-based questionnaire targeting signs of gait abnormality and video footage showing the dog’s gait. This study also evaluated associated conditions of abnormal gait, including other health disorders prevalent in the breed. Five hundred and fifty (550) pugs registered in the Swedish Kennel Club, of one, five and eight years of age, in 2015 and 2016, were included in the study. Gait abnormalities were reported in 30.7 per cent of the responses. In the majority of cases, the character of the described gait indicated a neurological cause for the gait abnormality. An association was observed between abnormal gait and age, with gait abnormalities being significantly more common in older pugs (P=0.004). An association was also found between abnormal gait and dyspnoea, with dyspnoea being significantly more common in pugs with gait abnormalities (P<0.0001). This study demonstrated that the prevalence of gait abnormalities was high in the Swedish pug breed and increased with age. Future studies on the mechanisms behind these gait abnormalities are warranted.

scholarly journals Detection and Classification of Stroke Gaits by Deep Neural Networks Employing Inertial Measurement Units

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1864
Author(s):  
Fu-Cheng Wang ◽  
Szu-Fu Chen ◽  
Chin-Hsien Lin ◽  
Chih-Jen Shih ◽  
Ang-Chieh Lin ◽  
...  
Keyword(s):  
Stroke Patients ◽  
Gait Patterns ◽  
Gait Abnormality ◽  
Abnormal Gait ◽  
Average Accuracy ◽  
Targeted Treatments ◽  
Measurement Units ◽  
Gait Abnormalities ◽  
Rehabilitation Strategies

This paper develops Deep Neural Network (DNN) models that can recognize stroke gaits. Stroke patients usually suffer from partial disability and develop abnormal gaits that can vary widely and need targeted treatments. Evaluation of gait patterns is crucial for clinical experts to make decisions about the medication and rehabilitation strategies for the stroke patients. However, the evaluation is often subjective, and different clinicians might have different diagnoses of stroke gait patterns. In addition, some patients may present with mixed neurological gaits. Therefore, we apply artificial intelligence techniques to detect stroke gaits and to classify abnormal gait patterns. First, we collect clinical gait data from eight stroke patients and seven healthy subjects. We then apply these data to develop DNN models that can detect stroke gaits. Finally, we classify four common gait abnormalities seen in stroke patients. The developed models achieve an average accuracy of 99.35% in detecting the stroke gaits and an average accuracy of 97.31% in classifying the gait abnormality. Based on the results, the developed DNN models could help therapists or physicians to diagnose different abnormal gaits and to apply suitable rehabilitation strategies for stroke patients.

scholarly journals Diagnostic usefulness of 10-step tandem gait test for the patient with degenerative cervical myelopathy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dallah Yoo ◽  
Kyung-Chung Kang ◽  
Jung-Hee Lee ◽  
Ki Young Lee ◽  
In-Uk Hwang
Keyword(s):  
Cervical Myelopathy ◽  
Screening Tools ◽  
Control Group ◽  
Japanese Orthopedic Association ◽  
Gait Abnormality ◽  
Abnormal Gait ◽  
Diagnostic Usefulness ◽  
Gait Abnormalities ◽  
Degenerative Cervical Myelopathy ◽  
Tandem Gait

AbstractTandem gait is considered one of the most useful screening tools for gait impairment. The aim of this study is to evaluate diagnostic usefulness of 10-step tandem gait test for the patients with degenerative cervical myelopathy (DCM). Sixty-two DCM patients were compared to 55 persons without gait abnormalities as control. We counted the number of consecutive steps and graded into five according the number of steps and stability. Five grades of tandem gait were investigated for association with clinical parameters including qualitative Japanese orthopedic association (JOA) sub-score for lower extremities and Nurick scale and quantitative balance and gait assessments. The number of tandem steps were reduced and the grades of tandem gait were differently distributed in the DCM patients compared to controls (steps, 7.1 ± 3.6 versus 9.9 ± 0.4, p < 0.001; grades of 0/1/2/3/4/5, 1/13/14/15/19 versus 0/0/2/15/38, p < 0.001 in patients with DCM and control respectively). Patients with DCM showed more unstable balance and abnormal gait features including slower velocity, shorter strides, wider bases with increased stance phase of a gait cycle compared to the control group. The grades of tandem gait were correlated with JOA sub-score (r = 0.553, p < 0.001) and the Nurick scale (r = − 0.652, p < 0.001) as well as both balance and gait parameters. In DCM patients, tandem gait was impaired and correlated with severity of gait abnormality. The authors believe that 10-step tandem gait test is an objective and useful screening test for evaluating gait disturbance in patients with DCM.

Prospective Study of Ocular Manifestations of Pemphigus and Bullous Pemphigoid Identifies a High Prevalence of Dry Eye Syndrome

Cornea ◽  
2015 ◽  
Vol 34 (4) ◽  
pp. 443-448 ◽  
Author(s):  
Jeremy C.K. Tan ◽  
Lien T. Tat ◽  
Kristy B. Francis ◽  
Clarisse G. Mendoza ◽  
Dedee F. Murrell ◽  
...  
Keyword(s):  
Prospective Study ◽  
Bullous Pemphigoid ◽  
Dry Eye ◽  
Dry Eye Syndrome ◽  
Ocular Manifestations ◽  
High Prevalence

scholarly journals Hearing symptoms personal stereos

2012 ◽  
Vol 16 (02) ◽  
pp. 163-169 ◽  
Author(s):  
Ana Borja ◽  
Tiara da Luz
Keyword(s):  
Prospective Study ◽  
High Intensity ◽  
High Volume ◽  
Inverse Relation ◽  
Observational Prospective Study ◽  
Frequent Use ◽  
Long Run ◽  
High Prevalence ◽  
The City ◽  
Exposition Time

Summary Introduction: Practical and portable the personal stereos if had become almost indispensable accessories in the day the day. Studies disclose that the portable players of music can cause auditory damages in the long run for who hear music in high volume for a drawn out time. Objective: to verify the prevalence of auditory symptoms in users of amplified players and to know its habits of use Method: Observational prospective study of transversal cut carried through in three institutions of education of the city of Salvador BA, being two of public net and one of the private net. 400 students had answered to the questionnaire, of both the sex, between 14 and 30 years that had related the habit to use personal stereos. Results: The symptoms most prevalent had been hyperacusis (43.5%), auricular fullness (30.5%) and humming (27.5), being that the humming is the symptom most present in the population youngest. How much to the daily habits: 62.3% frequent use, 57% in raised intensities, 34% in drawn out periods. An inverse relation between exposition time was verified and the band of age (p = 0,000) and direct with the prevalence of the humming. Conclusion: Although to admit to have knowledge on the damages that the exposition the sound of high intensity can cause the hearing, the daily habits of the young evidence the inadequate use of the portable stereos characterized by long periods of exposition, raised intensities, frequent use and preference for the insertion phones. The high prevalence of symptoms after the use suggests a bigger risk for the hearing of these young.

scholarly journals Acute benign myositis of childhood: Results of a prospective study performed in a pediatric emergency department

2020 ◽  
Vol 10 (3) ◽  
Author(s):  
Vanuza Rosa ◽  
Gabriela Kuzma ◽  
Luana Hornung ◽  
Márcia Bandeira
Keyword(s):  
Emergency Department ◽  
Prospective Study ◽  
Pediatric Emergency ◽  
Pediatric Emergency Department ◽  
Care Providers ◽  
Study Objective ◽  
Gait Abnormality ◽  
The Mean ◽  
A Prospective Study ◽  
Musculoskeletal Involvement

OBJECTIVE: Benign acute childhood myositis is characterized by acute musculoskeletal involvement leading to transient limitations on deambulation followed by a viral illness. Our study objective to evaluate clinical and laboratory features of patients in a pediatric emergency department. METHODOS: We conducted a prospective study in patients with symptoms and laboratory findings compatible with viral myositis in the period of August 2017 to August 2018. RESULTS: We assessed 20 patients in the period of twelve months. The mean age was 8,25 years. Of these, 83,3% had infectious symptoms in the week before the musculoskeletal involvement. By the time of the diagnosis, the symptoms were: calf pain, reluctance to walk, gait abnormality, diffuse myalgia and calf weakness. The most relevant laboratory finding was the elevation of CPK (mean 3359,556U/L) level, followed by AST (mean 131U/L) and ALT (mean 64,66U/L) elevation. The mean time for symptom relief was 3 days and in 7 days all exams were normal. CONCLUSION: Though the exact incidence of this condition remains undetermined, the lower extremity pain and the gait abnormality is of concern of both parents and health care providers. We emphasize the importance of knowing this condition to avoid unnecessary exams and the delay in the diagnosis of severe conditions.

Gait Abnormality Detection Using Deep Convolution Network

2021 ◽  
pp. 363-372
Author(s):  
Saikat Chakraborty ◽  
Tomoya Suzuki ◽  
Abhipsha Das ◽  
Anup Nandy ◽  
Gentiane Venture
Keyword(s):  
Low Cost ◽  
Gait Pattern ◽  
Human Gait ◽  
Kinect Sensor ◽  
Gait Abnormality ◽  
Depth Images ◽  
Abnormal Gait ◽  
Unsteady Gait ◽  
Deep Convolution Network ◽  
Human Gait Analysis

Human gait analysis plays a significant role in clinical domain for diagnosis of musculoskeletal disorders. It is an extremely challenging task for detecting abnormalities (unsteady gait, stiff gait, etc.) in human walking if the prior information is unknown about the gait pattern. A low-cost Kinect sensor is used to obtain promising results on human skeletal tracking in a convenient manner. A model is created on human skeletal joint positions extracted using Kinect v2 sensor in place using Kinect-based color and depth images. Normal gait and abnormal gait are collected from different persons on treadmill. Each trial of gait is decomposed into cycles. A convolutional neural network (CNN) model was developed on this experimental data for detection of abnormality in walking pattern and compared with state-of-the-art techniques.

scholarly journals Familial Intracranial Aneurysm in Newfoundland: Clinical and Genetic Analysis

2019 ◽  
Vol 46 (5) ◽  
pp. 518-526
Author(s):  
Amy E. Powell ◽  
Bridget A. Fernandez ◽  
Falah Maroun ◽  
Barbara Noble ◽  
Michael O. Woods
Keyword(s):  
Intracranial Aneurysm ◽  
Sanger Sequencing ◽  
Variant Prioritization ◽  
Future Studies ◽  
Whole Exome ◽  
High Prevalence ◽  
History Of ◽  
Multiplex Families ◽  
Genetic And Environmental Factors ◽  
Population Controls

ABSTRACT:Objective:Intracranial aneurysm (IA) is an expansion of the weakened arterial wall that is often asymptomatic until rupture, resulting in subarachnoid hemorrhage. Here we describe the high prevalence of familial IA in a cohort of Newfoundland ancestry. We began to investigate the genetic etiology of IA in affected family members, as the inheritance of this disease is poorly understood.Methods:Whole exome sequencing was completed for a cohort of 12 affected individuals from two multiplex families with a strong family history of IA. A filtering strategy was implemented to identify rare, shared variants. Filtered variants were prioritized based on validation by Sanger sequencing and segregation within the families.Results:In family R1352, six variants passed filtering; while in family R1256, 68 variants remained, so further filtering was pursued. Following validation by Sanger sequencing, top candidates were investigated in a set of population controls, namely,C4orf6c.A1G (p.M1V) andSPDYE4c.C103T (p.P35S). Neither was detected in 100 Newfoundland control samples.Conclusion:Rare and potentially deleterious variants were identified in both families, though incomplete segregation was identified for all filtered variants. Alternate methods of variant prioritization and broader considerations regarding the interplay of genetic and environmental factors are necessary in future studies of this disease.

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