The Use of Wearable Sensors in Human Movement Analysis in Non-Swimming Aquatic Activities: A Systematic Review

The use of smart technology, specifically inertial sensors (accelerometers, gyroscopes, and magnetometers), to analyze swimming kinematics is being reported in the literature. However, little is known about the usage/application of such sensors in other human aquatic exercises. As the sensors are getting smaller, less expensive, and simple to deal with (regarding data acquisition), one might consider that its application to a broader range of exercises should be a reality. The aim of this systematic review was to update the state of the art about the framework related to the use of sensors assessing human movement in an aquatic environment, besides swimming. The following databases were used: IEEE Xplore, Pubmed, Science Direct, Scopus, and Web of Science. Five articles published in indexed journals, aiming to assess human exercises/movements in the aquatic environment were reviewed. The data from the five articles was categorized and summarized based on the aim, purpose, participants, sensor’s specifications, body area and variables analyzed, and data analysis and statistics. The analyzed studies aimed to compare the movement/exercise kinematics between environments (i.e., dry land versus aquatic), and in some cases compared healthy to pathological participants. The use of sensors in a rehabilitation/hydrotherapy perspective may provide major advantages for therapists.

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Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification

Sensors ◽

10.3390/s20010082 ◽

2019 ◽

Vol 20 (1) ◽

pp. 82 ◽

Cited By ~ 1

Author(s):

Udeni Jayasinghe ◽

William S. Harwin ◽

Faustina Hwang

Keyword(s):

Inertial Sensors ◽

Inertial Sensor ◽

Wearable Sensors ◽

Correlation Coefficients ◽

Movement Analysis ◽

Multiple Sensors ◽

Sensor Orientation ◽

Multiple Devices ◽

Good Potential ◽

Sensor Errors

Inertial sensors are a useful instrument for long term monitoring in healthcare. In many cases, inertial sensor devices can be worn as an accessory or integrated into smart textiles. In some situations, it may be beneficial to have data from multiple inertial sensors, rather than relying on a single worn sensor, since this may increase the accuracy of the analysis and better tolerate sensor errors. Integrating multiple sensors into clothing improves the feasibility and practicality of wearing multiple devices every day, in approximately the same location, with less likelihood of incorrect sensor orientation. To facilitate this, the current work investigates the consequences of attaching lightweight sensors to loose clothes. The intention of this paper is to discuss how data from these clothing sensors compare with similarly placed body worn sensors, with additional consideration of the resulting effects on activity recognition. This study compares the similarity between the two signals (body worn and clothing), collected from three different clothing types (slacks, pencil skirt and loose frock), across multiple daily activities (walking, running, sitting, and riding a bus) by calculating correlation coefficients for each sensor pair. Even though the two data streams are clearly different from each other, the results indicate that there is good potential of achieving high classification accuracy when using inertial sensors in clothing.

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Balance Improvement Effects of Biofeedback Systems with State-of-the-Art Wearable Sensors: A Systematic Review

Sensors ◽

10.3390/s16040434 ◽

2016 ◽

Vol 16 (4) ◽

pp. 434 ◽

Cited By ~ 39

Author(s):

Christina Ma ◽

Duo Wong ◽

Wing Lam ◽

Anson Wan ◽

Winson Lee

Keyword(s):

Systematic Review ◽

State Of The Art ◽

Wearable Sensors

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ROBÓTICA NA ASSISTÊNCIA AO IDOSO COM DOENÇA DE ALZHEIMER: AS VANTAGENS E OS DESAFIOS DESSA INTERVENÇÃO.

Estudos Interdisciplinares sobre o Envelhecimento ◽

10.22456/2316-2171.53335 ◽

2016 ◽

Vol 21 (2) ◽

Author(s):

Elisangela Gisele Do Carmo ◽

Marisa Silvana Zazzetta ◽

José Luiz Riani Costa

Keyword(s):

Systematic Review ◽

Web Of Science ◽

State Of The Art ◽

Medical Subject Headings ◽

Subject Headings

A crescente demanda de idosos com doença de Alzheimer (DA) faz da dependência da assistência uma realidade cada vez maior, neste sentido, a robótica surge como uma das possíveis alternativas de amparo a estes idosos. O objetivo deste trabalho foi identificar mediante revisão de literatura a robótica de assistência para os idosos com DA, no mundo e no Brasil e, discutir o impacto social e as limitações causados pela utilização dessas tecnologias. Utilizou-se o método de revisão sistemática com pesquisa em bases de dados científicos, como SciELO, PubMED, LILACS, IEEE Xplore, Web of Science, SAGE, Scopus, entre outros. A ferramenta StArt (State of the Art through Systematic Review) foi utilizada com a finalidade de sumarizar os estudos. Selecionamos artigos de acesso livre e acesso restrito. Os descritores controlados e não controlados foram pesquisados em portais de terminologias em saúde: Ciências da Saúde (DeCS) e Medical Subject Headings (MeSH). Identificou-se 132 artigos científicos, destes, 19 foram selecionados pela ferramenta StArt e considerados elegíveis para esta revisão. Dentre os projetos desta revisão, observa-se que a grande maioria podem ser utilizada em idosos nos estágios leves e moderada da DA, dado que, nestes estágios, funções motoras e cognitivas ainda podem se encontrar preservadas. Conforme visto nos resultados desta revisão, diversas tecnologias apresentadas necessitam da assistência do cuidador, para programações prévias dos equipamentos. Assim, preparar os cuidadores torna-se importante para o correto funcionamento destas tecnologias. A presença do cuidador é fator chave e não pode ser substituída. Embora a aquisição de tecnologias avançadas, como por exemplo, um robô facilite a autonomia e possibilite maior independência, o fortalecimento de vínculos afetivos e das relações interpessoais são aspectos insubstituíveis para a qualidade de vida do idoso. A pesquisa evidencia de forma clara, como vários fatores socioeconômicos e culturais de um país, influenciam no processo de implementação da robótica de assistência para idosos acometidos por DA.

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Human Movement Analysis with Inertial Sensors

Biosystems & Biorobotics - Emerging Therapies in Neurorehabilitation ◽

10.1007/978-3-642-38556-8_16 ◽

2013 ◽

pp. 305-328 ◽

Cited By ~ 3

Author(s):

Stefan Lambrecht ◽

Antonio J. del-Ama

Keyword(s):

Inertial Sensors ◽

Movement Analysis ◽

Human Movement ◽

Human Movement Analysis

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Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17103554 ◽

2020 ◽

Vol 17 (10) ◽

pp. 3554 ◽

Cited By ~ 3

Author(s):

Harish Chander ◽

Reuben F. Burch ◽

Purva Talegaonkar ◽

David Saucier ◽

Tony Luczak ◽

...

Keyword(s):

Human Performance ◽

Wearable Sensors ◽

Movement Analysis ◽

Human Movement ◽

Fall Detection ◽

Wearable Technology ◽

Ongoing Research ◽

Successful Solution ◽

Nonfatal Injuries ◽

Movement Monitoring

Wearable sensors are beneficial for continuous health monitoring, movement analysis, rehabilitation, evaluation of human performance, and for fall detection. Wearable stretch sensors are increasingly being used for human movement monitoring. Additionally, falls are one of the leading causes of both fatal and nonfatal injuries in the workplace. The use of wearable technology in the workplace could be a successful solution for human movement monitoring and fall detection, especially for high fall-risk occupations. This paper provides an in-depth review of different wearable stretch sensors and summarizes the need for wearable technology in the field of ergonomics and the current wearable devices used for fall detection. Additionally, the paper proposes the use of soft-robotic-stretch (SRS) sensors for human movement monitoring and fall detection. This paper also recapitulates the findings of a series of five published manuscripts from ongoing research that are published as Parts I to V of “Closing the Wearable Gap” journal articles that discuss the design and development of a foot and ankle wearable device using SRS sensors that can be used for fall detection. The use of SRS sensors in fall detection, its current limitations, and challenges for adoption in human factors and ergonomics are also discussed.

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A simple test to assess the static and dynamic accuracy of an inertial sensors system for human movement analysis

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.4398803 ◽

2006 ◽

Cited By ~ 1

Author(s):

Andrea Giovanni Cutti ◽

Andrea Giovanardi ◽

Laura Rocchi ◽

Angelo Davalli

Keyword(s):

Inertial Sensors ◽

Movement Analysis ◽

Human Movement ◽

Simple Test ◽

Dynamic Accuracy ◽

Human Movement Analysis

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Transcranial direct current stimulation in pain modulation in fibromyalgia: systematic review with bibliometric analysis

10.5327/1516-3180.333 ◽

2021 ◽

Author(s):

Eduardo Henrique Loreti ◽

Juliano Romais de Oliveira ◽

Elaine Kakuta ◽

Alisson Alexandre da Silva ◽

Elisabete Castelon Konkiewitz

Keyword(s):

Systematic Review ◽

Randomized Clinical Trials ◽

Web Of Science ◽

State Of The Art ◽

Brain Activity ◽

Pain Modulation ◽

Physical And Mental Health ◽

Pain Reporting ◽

Evidence Database ◽

Pain Improvement

Background: Fibromyalgia (FM) affects the population’s physical and mental health and is characterized by changes in brain activity and pain reporting. Objectives: To systematize and discuss the effects of tDCS on pain improvement in patients with FM as well as the “state of the art”. Design and setting: Systematic review with bibliometric. Methods: Articles were searched in the databases: MEDLINE / PubMed, Web of Science, Scopus and Physiotherapy Evidence Database. Randomized clinical trials, published between 1996 and 2021, that used tDCS to treat pain in patients with fibromyalgia were included. Studies that used tDCS associated with another technique (except pharmacological) were excluded. Methodological quality and risk of bias were assessed using the PEDro and Rob 2.0 scale. Software R. was used to perform bibliometrics. Results: Nine articles were included, totaling 306 participants. The main stimulated areas were the primary death cortex (M1) (6 studies) and left dorsalateral prefrontal cortex (CPFDL) (4 studies). Eight studies used the intensity of 2 mA and application for 20 minutes. Both stimulation of M1 and CPFDL showed effects on pain improvement greater than tDCS sham. As for the research institutes, Havard Medical School and the Federal University of Rio Grande do Sul lead the ranking. The author with the greatest impact was Fregni, F. (index h: 12, index g: 17, index m: 0.800, total publications 17, beginning: 2006). Conclusions: tDCS proved to be effective for the treatment of pain in FM. The production of studies is limited.

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Towards ecologically valid biomarkers: real-life gait assessment in cerebellar ataxia

10.1101/802918 ◽

2019 ◽

Cited By ~ 1

Author(s):

Winfried Ilg ◽

Jens Seemann ◽

Martin Giese ◽

Andreas Traschütz ◽

Ludger Schöls ◽

...

Keyword(s):

Inertial Sensors ◽

Wearable Sensors ◽

Real Life ◽

Movement Analysis ◽

High Sensitivity ◽

Step Length ◽

Gait Variability ◽

Effect Sizes ◽

Ataxic Gait ◽

Disease Modifying Drugs

AbstractBACKGROUNDWith disease-modifying drugs on the horizon for degenerative ataxias, motor biomarkers are highly warranted. While ataxic gait and its treatment-induced improvements can be captured in laboratory-based assessments, quantitative markers of ataxic gait in real life will help to determine ecologically meaningful improvements.OBJECTIVESTo unravel and validate markers of ataxic gait in real life by using wearable sensors.METHODSWe assessed gait characteristics of 43 patients with degenerative cerebellar disease (SARA:9.4±3.9) compared to 35 controls by 3 body-worn inertial sensors in three conditions: (1) laboratory-based walking; (2) supervised free walking; (3) real-life walking during everyday living (subgroup n=21). Movement analysis focussed on measures of movement smoothness and spatio-temporal step variability.RESULTSA set of gait variability measures was identified which allowed to consistently identify ataxic gait changes in all three conditions. Lateral step deviation and a compound measure of step length categorized patients against controls in real life with a discrimination accuracy of 0.86. Both were highly correlated with clinical ataxia severity (effect size ρ=0.76). These measures allowed detecting group differences even for patients who differed only 1 point in the SARAp&g subscore, with highest effect sizes for real-life walking (d=0.67).CONCLUSIONSWe identified measures of ataxic gait that allowed not only to capture the gait variability inherent in ataxic gait in real life, but also demonstrate high sensitivity to small differences in disease severity - with highest effect sizes in real-life walking. They thus represent promising candidates for quantitative motor markers for natural history and treatment trials in ecologically valid contexts.

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