Objective assessments of human motor ability of the upper limb: A systematic review

2020 ◽  
pp. 1-16
Author(s):  
Edwin Duque ◽  
Helmuth Trefftz ◽  
Sakti Srivastava

BACKGROUND: Most of the patients who survive stroke, spinal cord or others nervous system injuries, must face different challenges for a complete recovery of physical functional impairment. An accurate and recurrent assessment of the patient rehabilitation progress is very important. So far, wearable sensors (e.g. accelerometers, gyroscopes) and depth cameras have been used in medical rehabilitation for the automation of traditional motor assessments. Combined with machine learning techniques, these sensors are leading to novel metric systems for upper limb mobility assessment. OBJECTIVE: Review current research for objective and quantitative assessments of the upper limb movement, analyzing sensors used, health issues examined, and data processes applied such as: selected features, feature engineering approach, learning models and data processing techniques. METHOD: A systematic review conducted according to the PRISMA guidelines. EBSCOHOST discovery service was queried for relevant articles published from January 2014 to December 2018 with English language and scholarly peer reviewed journals limits. RESULTS: Of the 568 articles identified, 75 were assessed for eligibility and 43 were finally included and weighed for an in-depth analysis according to their ponderation. The reviewed studies show a wide use of sensors to capture raw data for subsequent motion analysis. CONCLUSION: As the volume of the data captured via these sensors increase, it makes sense to extract useful information about them such as prediction of performance scores, detection of movement impairments and measured progression of recovery.

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Corrin P. Walmsley ◽  
Sîan A. Williams ◽  
Tiffany Grisbrook ◽  
Catherine Elliott ◽  
Christine Imms ◽  
...  

2020 ◽  
Vol 10 (15) ◽  
pp. 5135
Author(s):  
Nuria Caballé-Cervigón ◽  
José L. Castillo-Sequera ◽  
Juan A. Gómez-Pulido ◽  
José M. Gómez-Pulido ◽  
María L. Polo-Luque

Human healthcare is one of the most important topics for society. It tries to find the correct effective and robust disease detection as soon as possible to patients receipt the appropriate cares. Because this detection is often a difficult task, it becomes necessary medicine field searches support from other fields such as statistics and computer science. These disciplines are facing the challenge of exploring new techniques, going beyond the traditional ones. The large number of techniques that are emerging makes it necessary to provide a comprehensive overview that avoids very particular aspects. To this end, we propose a systematic review dealing with the Machine Learning applied to the diagnosis of human diseases. This review focuses on modern techniques related to the development of Machine Learning applied to diagnosis of human diseases in the medical field, in order to discover interesting patterns, making non-trivial predictions and useful in decision-making. In this way, this work can help researchers to discover and, if necessary, determine the applicability of the machine learning techniques in their particular specialties. We provide some examples of the algorithms used in medicine, analysing some trends that are focused on the goal searched, the algorithm used, and the area of applications. We detail the advantages and disadvantages of each technique to help choose the most appropriate in each real-life situation, as several authors have reported. The authors searched Scopus, Journal Citation Reports (JCR), Google Scholar, and MedLine databases from the last decades (from 1980s approximately) up to the present, with English language restrictions, for studies according to the objectives mentioned above. Based on a protocol for data extraction defined and evaluated by all authors using PRISMA methodology, 141 papers were included in this advanced review.


2020 ◽  
Author(s):  
Kurt D Shulver ◽  
Nicholas A Badcock

We report the results of a systematic review and meta-analysis investigating the relationship between perceptual anchoring and dyslexia. Our goal was to assess the direction and degree of effect between perceptual anchoring and reading ability in typical and atypical (dyslexic) readers. We performed a literature search of experiments explicitly assessing perceptual anchoring and reading ability using PsycInfo (Ovid, 1860 to 2020), MEDLINE (Ovid, 1860 to 2019), EMBASE (Ovid, 1883 to 2019), and PubMed for all available years up to June (2020). Our eligibility criteria consisted of English-language articles and, at minimum, one experimental group identified as dyslexic - either by reading assessment at the time, or by previous diagnosis. We assessed for risk of bias using an adapted version of the Newcastle-Ottawa scale. Six studies were included in this review, but only five (n = 280 participants) were included in the meta-analysis (we were unable to access the necessary data for one study).The overall effect was negative, large and statistically significant; g = -0.87, 95% CI [-1.47, 0.27]: a negative effect size indicating less perceptual anchoring in dyslexic versus non-dyslexic groups. Visual assessment of funnel plot and Egger’s test suggest minimal bias but with significant heterogeneity; Q (4) = 9.70, PI (prediction interval) [-2.32, -0.58]. The primary limitation of the current review is the small number of included studies. We discuss methodological limitations, such as limited power, and how future research may redress these concerns. The variability of effect sizes appears consistent with the inherent variability within subtypes of dyslexia. This level of dispersion seems indicative of the how we define cut-off thresholds between typical reading and dyslexia populations, but also the methodological tools we use to investigate individual performance.


2020 ◽  
Vol 16 ◽  
Author(s):  
Mariam Ahmed Saad ◽  
Mostafa Alfishawy ◽  
Mahmoud Nassar ◽  
Mahmoud Mohamed ◽  
Ignatius N Esene ◽  
...  

Introduction: Over 4.9 million cases of Coronavirus disease 2019 (COVID-19) have been confirmed since the worldwide pandemic began. Since the emergence of COVID-19, a number of confirmed cases reported autoimmune manifestations. Herein, we reviewed the reported COVID-19 cases with associated autoimmune manifestations. Methods: We searched PubMed database using all available keyword for COVID-19. All related studies between January 1st, 2020 to May 22nd, 2020 were reviewed. Only studies published in English language were considered. Articles were screened based on titles and abstract. All reports of confirmed COVID-19 patients who have associated clinical evidence of autoimmune disease were selected. Results: Among 10006 articles, searches yielded, Thirty-two relevant articles for full-text assessment. Twenty studies meet the eligibility criteria. The twenty eligible articles reported 33 cases of confirmed COVID-19 diagnosis who developed an autoimmune disease after the onset of covid-19 symptoms. Ages of patients varied from a 6 months old infant to 89 years old female (Mean=53.9 years of 28 cases); five cases had no information regarding their age. The time between symptoms of viral illness and onset of autoimmune symptoms ranged from 2 days to 33 days (Mean of the 33 cases=9.8 days). Autoimmune diseases were one case of subacute thyroiditis (3%), two cases of Kawasaki Disease (6.1%), three cases of coagulopathy and antiphospholipid syndrome (9.1%), three cases of immune thrombocytopenic purpura (9.1%), eight cases of autoimmune hemolytic anemia (24.2%), and sixteen cases of Guillain–Barré syndrome (48.5%). Conclusions: COVID-19 has been implicated in the development in a range of autoimmune diseases which may shed a light on the association between autoimmune diseases and infections.


2019 ◽  
Author(s):  
Sheeba Nadarajah ◽  
Susan Buchholz ◽  
Kristen Dickins

BACKGROUND Globally, cardiovascular disease is the leading cause of death. Cardiovascular mortality can be decreased by participation in cardiac rehabilitation. Researchers are exploring the use of mHealth technology in cardiac rehabilitation. OBJECTIVE The aim of this systematic review is to examine the effectiveness of randomized controlled trials that use a mHealth intervention as a part of an outpatient and/or home-based cardiac rehabilitation program on improving physical activity and physical fitness outcomes. METHODS For this systematic review, mHealth interventions were limited to text messaging, mobile apps, and use of a mobile phone network for data transmission, used to deliver cardiac rehabilitation program. Using six databases, the search strategy included published English language studies through 2016. Data was extracted independently by two reviewers, and then synthesized. RESULTS The initial search yielded 149 articles, of which 15 articles that represented nine studies met inclusion criteria. Articles were published from 2010 to 2016 and came from two continents. The majority (84%) of participants were male. Generally, the participant mean age was late 50s to early 60s. Text messaging was the most frequently used intervention. The results of the physical activity and physical fitness findings were mixed. Effect sizes for intervention as measured by the 6-minute walk test ranged from 0.46 to 0.58 and peak VO2 ranged from 0.03 to 1.35. CONCLUSIONS Globally, use of mHealth in outpatient and/or home-based cardiac rehabilitation is being studied with greater attention. However, these studies are limited by geography, gender, and age. Therefore, further research in the area of cardiac rehabilitation and mHealth is recommended, especially in developing countries, among women, and older adults.


Lupus ◽  
2020 ◽  
pp. 096120332096570
Author(s):  
Juliana P Ocanha-Xavier ◽  
Camila O Cola-Senra ◽  
Jose Candido C Xavier-Junior

Reticular erythematous mucinosis (REM) was first described 50 years ago, but only around 100 case reports in English have been published. Its relation with other inflammatory skin disorders is still being debated. We report a case of REM, including the clinical and histopathological findings. Also, a systematic review of 94 English-language reported cases is provided. The described criteria for clinical and histopathological diagnosis are highlighted in order to REM can be confidently diagnosed.


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