Search results for "Wear"

showing 10 items of 275 documents

A study on the effect of contact pressure during physical activity on photoplethysmographic heart rate measurements

2020

Heart rate (HR) as an important physiological indicator could properly describe global subject&rsquo

Future studies0206 medical engineeringheart rate (HR)Physical activityPhysical exercise02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistrySignalContact force Contact pressure Heart rate (HR) Heart rate reliability Heart rate signal Photoplethysmography (PPG) PPG accuracy PPG sensor WearablesArticleAnalytical ChemistryPPG accuracysymbols.namesakeWearable Electronic Devicesphotoplethysmography (PPG)Heart RateHeart rateSettore ING-IND/12 - Misure Meccaniche E TermicheMedicineheart rate reliabilityHumanslcsh:TP1-1185Electrical and Electronic EngineeringPhotoplethysmographyInstrumentationExercisecontact pressureheart rate signalbusiness.industry010401 analytical chemistrySignal Processing Computer-Assisted020601 biomedical engineeringAtomic and Molecular Physics and OpticsPearson product-moment correlation coefficient0104 chemical sciencesIntensity (physics)PPG sensorwearablessymbolssense organsbusinesscontact forceContact pressureBiomedical engineering
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WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities

2020

Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities. Traditional HAR systems mostly leverage a single sensing modality (e.g., either wearable, vision, or radio frequency sensing) combined with machine learning techniques to recognize human activities. Such unimodal HAR systems do not cope well with real-time changes in the environment. To overcome this limitation, new HAR systems that incorporate multiple sensing modalities are needed. Multiple diverse sensors can provide more accurate and complete information resulting in better recognition of the performed activities. This article…

General Computer ScienceComputer scienceFeature extractionPrincipal component analysisComputació centrada en humansWearable computer02 engineering and technologyDoppler EfecteAccelerometerRadio frequency sensinglaw.inventionActivity recognitionlawInertial measurement unitMachine learning0202 electrical engineering electronic engineering information engineeringfeature fusionGeneral Materials ScienceComputer visionReconeixement de formes (Informàtica)VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Feature fusionModality (human–computer interaction)business.industryfeature extractionSupervised learningGeneral Engineering:Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes [Àrees temàtiques de la UPC]020206 networking & telecommunicationsGyroscopemicro-Doppler signatureDoppler effectWearable sensingmachine learningHuman-centered computingActivity recognitionFeature extractionMicro-Doppler signature020201 artificial intelligence & image processing:Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC]Artificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringHuman activity recognitionbusinesslcsh:TK1-9971
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Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices

2019

Mental stress is a physiological condition that has a strong negative impact on the quality of life, affecting both the physical and the mental health. For such a reason, accurate measurements of stress level can be helpful to provide mechanisms for prevention and treatment. This paper proposes a procedure for the classification of different mental stress levels by using physiological signals provided by low invasive wearable devices. 17 healthy volunteers participated in this study. Three different mental states were elicited in them: a resting condition, a stressful cognitive state, and a sustained attention task. The acquired physiological signals were: a one lead electrocardiogram (ECG)…

General Computer ScienceComputer scienceStress assessmentPhysiology02 engineering and technologyElectroencephalography03 medical and health sciencesNetwork Physiology0302 clinical medicineQuality of lifeMental stressMachine learningHealthy volunteers0202 electrical engineering electronic engineering information engineeringmedicineRespiratory systemWearable technologyMeasurementmedicine.diagnostic_testbusiness.industryPhysiological conditionCognitionPulse (music)ClassificationMental healthWearable devices020201 artificial intelligence & image processingbusiness030217 neurology & neurosurgeryJournal of Ambient Intelligence and Humanized Computing
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Post-mortem enamel surface texture alteration during taphonomic processes—do experimental approaches reflect natural phenomena?

2022

Experimental approaches are often used to better understand the mechanisms behindand consequences of post-mortem alteration on proxies for diet reconstruction.Dental microwear texture analysis (DMTA) is such a dietary proxy, using dental wearfeatures in extant and extinct taxa to reconstruct feeding behaviour and mechanicalfood properties. In fossil specimens especially, DMTA can be biased by post-mortemalteration caused by mechanical or chemical alteration of the enamel surface. Herewe performed three different dental surface alteration experiments to assess the effectof common taphonomic processes by simplifying them: (1) tumbling in sedimentsuspension to simulate fluvial transport, (2) s…

General NeuroscienceExperimental alterationRFluvial transportGeneral MedicineGeneral Biochemistry Genetics and Molecular BiologyDietDental microwearVertebrate enamel560 Paläontologie560 Paleontologystomatognathic systemMedicinePost-mortem wearGeneral Agricultural and Biological Sciences
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Modifiable Lifestyle Factors and Cognitive Function in Older People: A Cross-Sectional Observational Study

2019

Background: The development of evidence-based interventions for delaying or preventing cognitive impairment is an important challenge. Most previous studies using self-report questionnaires face problems with reliability and consistency due to recall bias or misclassification among older people. Therefore, objective measurement of lifestyle components is needed to confirm the relationships between lifestyle factors and cognitive function. Aims: The current study examined the relationship between lifestyle factors collected with wearable sensors and cognitive function among community-dwelling older people using machine learning. Methods: In total, 855 participants (mean age: 73.8 years) wore…

GerontologyCross-sectional studywearable sensorlcsh:RC346-42903 medical and health sciences0302 clinical medicineRecall biascross-sectional studyMedicine030212 general & internal medicineRisk factorcognitive functionlcsh:Neurology. Diseases of the nervous systemOriginal ResearchMini–Mental State Examinationmedicine.diagnostic_testbusiness.industryrandom forest regression analysisConfoundinglifestyle factorsCognitionRegression analysisNeurologymini-mental state examinationNeurology (clinical)Sleep onsetbusiness030217 neurology & neurosurgeryFrontiers in Neurology
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The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study

2020

The benefits of walking in older age include improved cognitive health (e.g., mental alertness, improved memory functioning) and a reduced risk of stress, depression and dementia. However, research capturing the benefits of walking among older people in real-time as they navigate their world is currently very limited. This study explores cognitive health and well-being outcomes in older people as they walk in their local neighborhood environment. Residents from an independent living facility for older people (mean age 65, n = 11) walked from their home in two dichotomous settings, selected on the basis of significantly different infrastructure, varying levels of noise, traffic and percentag…

Gerontologyurban green spacemedia_common.quotation_subjectair pollutionnoise pollutionPoison controlPilot ProjectsWalkingSuicide preventioncognitive healthOccupational safety and health03 medical and health sciencesstress0302 clinical medicineOutcome Assessment Health CareHumans030212 general & internal medicineBuilt EnvironmentBuilt environmentmedia_commonOriginal ResearchAgedAged 80 and over030503 health policy & serviceslcsh:Public aspects of medicinewearable sensorsPublic Health Environmental and Occupational HealthHuman factors and ergonomicsCognitionlcsh:RA1-1270Mental healthHappinessEnvironment DesignPublic Health0305 other medical sciencePsychologyFrontiers in Public Health
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Hot Impression Die Forging Process: An Approach to Flash Design for Tool Life Improvement

2005

In impression die forging the role of the flash geometry is fundamental since a proper design of the flash land strongly influences both the complete die filling and the die wear (i.e. the die life and the related costs). In this paper an integrated approach between numerical simulations and statistical tools was developed with the aim to optimize flash thickness in order to reduce die wear and to minimize material wasting. As wear is regarded, an analytical model depending on sliding velocity, temperature, die hardness and contact pressure was utilized during the numerical simulations of the process in order to reach a wear evaluation for different values of the flash design variables. Thu…

Hardware_MEMORYSTRUCTURESComputer scienceFlash (manufacturing)Cost analysisProcess (computing)Hot forging wear costs analysisMechanical engineeringIntegrated approachManufacturing engineeringDie (integrated circuit)ForgingContact pressureImpression
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Extending SSD lifetime in database applications with page overwrites

2013

Flash-based Solid State Disks (SSDs) have been a great success story over the last years and are widely used in embedded systems, servers, and laptops.One often overlooked ability of NAND flash is that flash pages can be overwritten in certain circumstances. This can be used to decrease wear out and increase performance.In this paper, we analyze the potential of overwrites for the most used data structure in database applications: the B-Tree. We show that with overwrites it is possible to significantly reduce flash wear out and increase overall performance.

Hardware_MEMORYSTRUCTURESWear outDatabaseComputer scienceSolid-stateNAND gatecomputer.software_genreData structureFlash (photography)ServerOperating systemOverall performancecomputerFlash file systemProceedings of the 6th International Systems and Storage Conference on - SYSTOR '13
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Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress

2019

In this study, an analysis of brain, cardiovascular and respiratory dynamics was conducted combining information-theoretic measures with the Network Physiology paradigm during different levels of mental stress. Starting from low invasive recordings of electroencephalographic, electrocardiographic, respiratory, and blood volume pulse signals, the dynamical activity of seven physiological systems was probed with one-second time resolution measuring the time series of the &delta

Information transferInformation dynamicsComputer scienceStress assessmentGeneral Physics and Astronomylcsh:Astrophysics030204 cardiovascular system & hematologyNetwork topologynetwork physiologyInformation Theory Network Physiology StressArticlePhysics and Astronomy (all)03 medical and health sciences0302 clinical medicineRhythmwearable deviceslcsh:QB460-466stress assessmentlcsh:ScienceSubnetworkNetwork physiologyPulse (signal processing)Node (networking)Information dynamics; Network physiology; Stress assessment; Wearable deviceslcsh:QC1-999Wearable devicesPeripheralInformation dynamics; Network physiology; Stress assessment; Wearable devices; Physics and Astronomy (all)lcsh:QWakefulnessinformation dynamicsNeurosciencelcsh:Physics030217 neurology & neurosurgeryEntropy
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Conceptualization of a personalized ecoach for wellness promotion

2017

Evidence-based health promotion programs implement clinical practice guidelines built upon results of clinical trials with a definite number of participants, collected during a specific period of time. Wearable technologies allow for continuous observation of wellness parameters of multiple citizens, combined with monitoring of activities and context parameters involved in citizens' wellness. A statistical inference model can describe the relation between multidimensional activities and context parameters, the wellness of an individual and a comparable reference group, utilizing machine learning techniques and knowledge from continuous observations of multiple citizens. This paper presents …

Knowledge management020205 medical informaticsConceptualizationbusiness.industryBig dataContext (language use)02 engineering and technologyCoaching03 medical and health sciences0302 clinical medicineHealth promotion0202 electrical engineering electronic engineering information engineering030212 general & internal medicineDialog boxbusinessPsychologyWearable technologyReference groupProceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
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