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1.
Adv Exp Med Biol ; 1232: 291-297, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31893423

RESUMO

We present an IoT-based monitoring system for healthcare that allows for long-term measurements of blood pressure (BP), heart rate (HR), and body weight (BW), as well as near-infrared spectroscopy (NIRS) for measurement of prefrontal cortex (PFC) activity. To verify the applicability of the system, it was set up in a local fitness gym for a preliminary study. A total of 39 subjects, selected from members of the gym, participated in the study. We analyzed the BP, HR, and BW data, collected from the subjects over one half-year. In addition, to assess the degree of mental stress of the subjects, we analysed left-right asymmetry of the PFC activity using the laterality index at rest (LIR) of the NIRS parameter. Results show that the subjects were able to measure their physiological data by themselves when they visited the gym, after being instructed how to perform the measurements. Furthermore, the results also indicate that ordinary people can continuously monitor physiological functions such as brain function in a non-medical facility, such as a fitness gym.


Assuntos
Monitorização Fisiológica , Córtex Pré-Frontal , Espectroscopia de Luz Próxima ao Infravermelho , Idoso , Feminino , Lateralidade Funcional , Frequência Cardíaca , Humanos , Masculino , Pessoa de Meia-Idade , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Monitorização Fisiológica/normas , Autoexame/normas , Estresse Psicológico
2.
Adv Exp Med Biol ; 1232: 315-322, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31893426

RESUMO

We present an unobtrusive cuff-less sphygmomanometer based on contact-type and optical pulse sensors for continuous and minimally invasive monitoring of blood pressure (BP). We developed a cuff-less sphygmomanometer that utilizes the pulse arrival time (PAT) to estimate continuous BP. To assess its accuracy, we recruited 10 healthy subjects in whom we carried out BP studies using the cuff-less sphygmomanometer compared with a standard cuff-type device in a stationary sitting patient. Preliminary results showed that the mean difference (MD) of estimated systolic blood pressure and diastolic blood pressure were 0.96 ± 9.6 (mean ± SD) mmHg and 1.14 ± 7.5 mmHg, respectively, compared to the control. The corresponding correlation between the estimated BP values and controls were 0.78 for systolic blood pressure (p < 0.01) and 0.69 for diastolic blood pressure (p < 0.01); thus, there were significant correlations. These results suggest that the developed cuff-less sphygmomanometer has the potential for continuous BP monitoring. Finally, we conducted a preliminary study of simultaneous monitoring of cuff-less BP and near-infrared spectroscopy to evaluate the potential for assessment of autonomic nervous system functions during mental stress tasks.


Assuntos
Determinação da Pressão Arterial , Esfigmomanômetros , Adulto , Sistema Nervoso Autônomo/fisiologia , Pressão Sanguínea , Determinação da Pressão Arterial/instrumentação , Eletrocardiografia , Frequência Cardíaca , Humanos , Masculino , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/normas , Esfigmomanômetros/normas , Adulto Jovem
3.
Adv Exp Med Biol ; 1232: 323-329, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31893427

RESUMO

Recent guidelines on cardiopulmonary resuscitation (CPR) have stressed the necessity to improve the quality of CPR. Our previous studies demonstrated the usefulness of monitoring cerebral blood oxygenation (CBO) during CPR by near-infrared spectroscopy (NIRS). The present study evaluates whether the NIRO-CCR1, a new NIRS device, is as useful in the clinical setting as the NIRO-200NX. We monitored CBO in 20 patients with cardiac arrest by NIRS. On the arrival of patients at the emergency department, the attending physician immediately assessed whether the patient was eligible for this study after conventional advanced life support and, if eligible, measured CBO in the frontal lobe by NIRS. We found that in all patients, the cerebral blood flow waveform was in synchrony with the chest compressions. Moreover, the tissue oxygenation index increased following cardiopulmonary bypass (CPB) in patients undergoing CPB, including one patient in whom CBO was monitored using the NIRO-CCR1. In addition, although the NIRO-CCR1 could display the pulse rate (Tempo) in real time, Tempo was not always detected, despite detection of the cerebral blood flow waveform. This suggested that chest compressions may not have been effective, indicating that the NIRO-CCR1 also seems useful to assess the quality of CPR. This study suggests that the NIRO-CCR1 can measure CBO during CPR in patients with cardiac arrest as effectively as the NIRO-200NX; in addition, the new NIRO-CCR1 may be even more useful, especially in prehospital fields (e.g. in an ambulance), since it is easy to carry.


Assuntos
Reanimação Cardiopulmonar , Circulação Cerebrovascular , Parada Cardíaca , Monitorização Fisiológica , Oximetria , Espectroscopia de Luz Próxima ao Infravermelho , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/normas , Oximetria/instrumentação , Oximetria/normas , Projetos Piloto , Espectroscopia de Luz Próxima ao Infravermelho/instrumentação , Espectroscopia de Luz Próxima ao Infravermelho/normas
4.
World Neurosurg ; 133: e18-e25, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31394360

RESUMO

BACKGROUND: Intracranial pressure monitoring remains the foundation for prevention of secondary injury after traumatic brain injury and is most commonly performed using an external ventricular drain or intraparenchymal pressure monitor. The Integra Flex ventricular catheter combines an external ventricular catheter with a pressure transducer embedded in the tip of the catheter to allow continuous pressure readings while simultaneously draining cerebrospinal fluid. Discrepancies between measurements from the continuously reported internal pressure transducer and intermittently assessed and externally transduced ventricular drain prompted an analysis and characterization of pressures transduced from the same ventricular source. METHODS: More than 500 hours of high-resolution (125 Hz) continuous recordings were manually reviewed to identify 73 hours of simultaneous measurements (clamped external ventricular drain) from internal and external transducers in patients with traumatic brain injury. RESULTS: A significant positive bias was found in pressure readings obtained from external relative to internal measurements. The 2 methods of measurement generally correlated poorly with each other and variably. Although proportional bias was found with Bland-Altman analysis, coherence revealed rare shifts in the external transducer as a major source of discrepancy. Infrequent changes in the 0-level of the external transducer were found to be the primary source of discrepancy. Relative to the observed differences, no significant trend was observed over time between the 2 modalities. CONCLUSIONS: This study suggests that the internal pressure transducer may be a more reliable estimate of intracranial pressure relative to bedside external transducers due to the inherent behavioral requirement of leveling.


Assuntos
Lesões Encefálicas Traumáticas/fisiopatologia , Erros de Diagnóstico , Drenagem/instrumentação , Hipertensão Intracraniana/diagnóstico , Pressão Intracraniana , Manometria/instrumentação , Transdutores de Pressão , Lesões Encefálicas Traumáticas/complicações , Cateteres , Humanos , Hipertensão Intracraniana/etiologia , Hipertensão Intracraniana/prevenção & controle , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Transdutores de Pressão/classificação
5.
Zoo Biol ; 38(6): 498-507, 2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31517405

RESUMO

The use of radio frequency identification (RFID) technology is common in animal-monitoring applications in the wild and in zoological and agricultural settings. RFID is used to track animals and to collect information about movements and other behaviors, as well as to automate or improve husbandry. Disney's Animal Kingdom® uses passive RFID technology to monitor nest usage by a breeding colony of northern carmine bee-eaters. We implemented RFID technologies in various equipment configurations, initially deploying low-frequency (LF) 125 kHz RFID and later changing to high-frequency (HF) 13.56 MHz RFID technology, to monitor breeding behavior in the flock. We installed antennas connected to RFID readers at the entrances of nest tunnels to detect RFID transponders attached to leg bands as birds entered and exited tunnels. Both LF-RFID and HF-RFID systems allowed the characterization of nest visitation, including the timing of nest activity, breeding pair formation, identification of egg-laying females, participation by nonresidents, and detection of nest disruptions. However, we collected a substantially larger volume of data using the increased bandwidth and polling speed inherent with HF-RFID, which permitted tag capture of multiple birds simultaneously and resulted in fewer missed nest visits in comparison to LF-RFID. Herein, we describe the evolution of the RFID setups used to monitor nest usage for more than 7 years, the types of data that can be gained using RFID at nests, and how we used these data to gain insights into carmine bee-eater breeding behavior and improve husbandry.


Assuntos
Aves/fisiologia , Monitorização Fisiológica/veterinária , Comportamento de Nidação/fisiologia , Dispositivo de Identificação por Radiofrequência , Telemetria , Animais , Animais de Zoológico , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos
6.
Lancet ; 394(10205): 1265-1273, 2019 10 05.
Artigo em Inglês | MEDLINE | ID: mdl-31533908

RESUMO

Technological advances have had a major effect on the management of type 1 diabetes. In addition to blood glucose meters, devices used by people with type 1 diabetes include insulin pumps, continuous glucose monitors, and, most recently, systems that combine both a pump and a monitor for algorithm-driven automation of insulin delivery. In the next 5 years, as many advances are expected in technology for the management of diabetes as there have been in the past 5 years, with improvements in continuous glucose monitoring and more available choices of systems that automate insulin delivery. Expansion of the use of technology will be needed beyond endocrinology practices to primary-care settings and broader populations of patients. Tools to support decision making will also need to be developed to help patients and health-care providers to use the output of these devices to optimise diabetes management.


Assuntos
Tecnologia Biomédica , Diabetes Mellitus Tipo 1/terapia , Glicemia/análise , Diabetes Mellitus Tipo 1/diagnóstico , Diabetes Mellitus Tipo 1/tratamento farmacológico , Humanos , Insulina/administração & dosagem , Insulina/uso terapêutico , Sistemas de Infusão de Insulina , Monitorização Fisiológica/instrumentação
7.
IEEE J Biomed Health Inform ; 23(6): 2276-2285, 2019 11.
Artigo em Inglês | MEDLINE | ID: mdl-31478880

RESUMO

Mental illnesses are vast and cause a lot of individual and social discomfort, with significant healthcare costs associated in terms of diagnosis and treatment. They can be triggered by a number of factors including stress, fatigue or anxiety. The associated physiological, cardiac and autonomic changes can be assessed, centrally, through brain imaging or, peripherally, by other signal recording modalities. With recent advances in wearable devices, these parameters can now be assessed in natural living conditions as associated mood disorders such as obsessive/compulsive behavior or depression are difficult to be examined in controlled settings. In this paper, we present a low-powered and flexible device with electrocardiogram (ECG), galvanic skin response (GSR), temperature and bio-motion detection channels, with signal accuracies of 62 µV for ECG, 6.6 kΩ for GSR, 0.13 °C for temperature and 0.04 g for acceleration. Potential applications include mental health assessment of patients during daily activities at home and/or work through non-continuous and multimodal sensing as demonstrated in this paper during exercise, rest and mental activities performed by healthy individuals only, achieving an overall accuracy of 89% in the classification of the different tasks executed by volunteers.


Assuntos
Resposta Galvânica da Pele/fisiologia , Frequência Cardíaca/fisiologia , Transtornos Mentais , Monitorização Fisiológica/instrumentação , Dispositivos Eletrônicos Vestíveis , Adulto , Algoritmos , Eletrocardiografia/instrumentação , Desenho de Equipamento , Humanos , Masculino , Transtornos Mentais/diagnóstico , Transtornos Mentais/fisiopatologia , Transtornos Mentais/terapia , Monitorização Fisiológica/métodos , Movimento/fisiologia , Processamento de Sinais Assistido por Computador/instrumentação , Termometria/instrumentação
8.
Yearb Med Inform ; 28(1): 102-114, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31419822

RESUMO

OBJECTIVES: Camera-based vital sign estimation allows the contactless assessment of important physiological parameters. Seminal contributions were made in the 1930s, 1980s, and 2000s, and the speed of development seems ever increasing. In this suivey, we aim to overview the most recent works in this area, describe their common features as well as shortcomings, and highlight interesting "outliers". METHODS: We performed a comprehensive literature research and quantitative analysis of papers published between 2016 and 2018. Quantitative information about the number of subjects, studies with healthy volunteers vs. pathological conditions, public datasets, laboratory vs. real-world works, types of camera, usage of machine learning, and spectral properties of data was extracted. Moreover, a qualitative analysis of illumination used and recent advantages in terms of algorithmic developments was also performed. RESULTS: Since 2016, 116 papers were published on camera-based vital sign estimation and 59% of papers presented results on 20 or fewer subjects. While the average number of participants increased from 15.7 in 2016 to 22.9 in 2018, the vast majority of papers (n=100) were on healthy subjects. Four public datasets were used in 10 publications. We found 27 papers whose application scenario could be considered a real-world use case, such as monitoring during exercise or driving. These include 16 papers that dealt with non-healthy subjects. The majority of papers (n=61) presented results based on visual, red-green-blue (RGB) information, followed by RGB combined with other parts of the electromagnetic spectrum (n=18), and thermography only (n=12), while other works (n=25) used other mono- or polychromatic non-RGB data. Surprisingly, a minority of publications (n=39) made use of consumer-grade equipment. Lighting conditions were primarily uncontrolled or ambient. While some works focused on specialized aspects such as the removal of vital sign information from video streams to protect privacy or the influence of video compression, most algorithmic developments were related to three areas: region of interest selection, tracking, or extraction of a one-dimensional signal. Seven papers used deep learning techniques, 17 papers used other machine learning approaches, and 92 made no explicit use of machine learning. CONCLUSION: Although some general trends and frequent shortcomings are obvious, the spectrum of publications related to camera-based vital sign estimation is broad. While many creative solutions and unique approaches exist, the lack of standardization hinders comparability of these techniques and of their performance. We believe that sharing algorithms and/ or datasets will alleviate this and would allow the application of newer techniques such as deep learning.


Assuntos
Monitorização Fisiológica/métodos , Fotopletismografia , Sinais Vitais , Bibliometria , Conjuntos de Dados como Assunto , Diagnóstico por Imagem/métodos , Humanos , Aprendizado de Máquina , Monitorização Fisiológica/instrumentação , Termografia
9.
J Sports Med Phys Fitness ; 59(8): 1281-1284, 2019 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-31373188

RESUMO

BACKGROUND: The use of smartphone applications to monitor heart rate has become increasingly popular. However, there is limited research available on the validity of these applications. The purpose of this study was to examine the accuracy of a free heart rate monitoring application on two smartphone platforms while at rest and during moderate intensity exercise. One heart rate monitor application was chosen for two different technological platforms. METHODS: Twenty-four adults aged 18 and older (six males, 18 females) were randomly assigned a platform. Two groups were formed based on the platform being utilized. Both groups were monitored using an electrocardiograph (ECG) and the smart phone application. Heart rate for each participant was recorded while seated before exercise, and during moderate intensity exercise on an elliptical machine. Measurements were recorded in one-minute intervals. RESULTS: Data was analyzed using correlations and t-tests between platforms. All data was analyzed for both resting and exercise heart rate averages. There was no significant difference in heart rate while seated, t-test (-1.33; P=0.197) nor exercise heart rate, t-test (-1.54; P=0.142) when comparing means of the two platforms to an ECG. CONCLUSIONS: The applications chosen for both platforms to monitor heart rate were found to be fairly accurate, especially at rest. There are small user adaptations for monitoring heart rate, but heart rate applications provide a low-cost and efficient method for non-medical heart rate tracking. Future research should investigate the difference in accuracy for skin tone, ethnicity, race, hand size, and callosity of fingertips.


Assuntos
Frequência Cardíaca/fisiologia , Aplicativos Móveis/normas , Monitorização Fisiológica/instrumentação , Smartphone , Adulto , Eletrocardiografia , Exercício/fisiologia , Feminino , Humanos , Masculino , Adulto Jovem
10.
Sensors (Basel) ; 19(15)2019 Aug 05.
Artigo em Inglês | MEDLINE | ID: mdl-31387237

RESUMO

The rapid evolution of technology, sensors and personal digital devices offers an opportunity to acquire health related data seamlessly, unobtrusively and in real time. In this opinion piece, we discuss the relevance and opportunities for using digital sensing in dermatology, taking eczema as an exemplar.


Assuntos
Eczema/patologia , Monitorização Fisiológica/métodos , Pele/fisiopatologia , Inteligência Artificial , Humanos , Monitorização Fisiológica/instrumentação , Smartphone , Dispositivos Eletrônicos Vestíveis
11.
Sensors (Basel) ; 19(15)2019 Aug 05.
Artigo em Inglês | MEDLINE | ID: mdl-31387246

RESUMO

The development of sensors with high sensitivity, good flexibility, low cost, and capability of detecting multiple inputs is of great significance for wearable electronics. Herein, we report a napkin-based wearable capacitive sensor fabricated by a novel, low-cost, and facile strategy. The capacitive sensor is composed of two pieces of electrode plates manufactured by spontaneous assembly of silver nanowires (NWs) on a polydimethylsiloxane (PDMS)-patterned napkin. The sensor possesses high sensitivity (>7.492 kPa-1), low cost, and capability for simultaneous detection of multiple signals. We demonstrate that the capacitive sensor can be applied to identify a variety of human physiological signals, including finger motions, eye blinking, and minute wrist pulse. More interestingly, the capacitive sensor comfortably attached to the temple can simultaneously monitor eye blinking and blood pulse. The demonstrated sensor shows great prospects in the applications of human-machine interface, prosthetics, home-based healthcare, and flexible touch panels.


Assuntos
Monitorização Fisiológica/métodos , Dispositivos Eletrônicos Vestíveis , Piscadela/fisiologia , Dimetilpolisiloxanos/química , Dedos/fisiologia , Frequência Cardíaca/fisiologia , Humanos , Monitorização Fisiológica/instrumentação , Nanofios/química , Prata/química , Dispositivos Eletrônicos Vestíveis/economia
12.
Sensors (Basel) ; 19(14)2019 Jul 12.
Artigo em Inglês | MEDLINE | ID: mdl-31336945

RESUMO

Non-contact wireless sensing approaches have emerged in recent years, in order to enable novel enhanced developments in the framework of healthcare and biomedical scenarios. One of these technologically advanced solutions is given by software-defined radar platforms, a low-cost radar implementation, where all operations are implemented and easily changed via software. In the present paper, a software-defined radar implementation with Doppler elaboration features is presented, to be applied for the non-contact monitoring of human respiration signals. A quadrature receiver I/Q (In-phase/Quadrature) architecture is adopted in order to overcome the critical issues related to the occurrences of null detection points, while the phase-locked loop components included in the software defined radio transceiver are successfully exploited to guarantee the phase correlation between I/Q signal components. The proposed approach leads to a compact, low-cost, and flexible radar solution, whose application abilities may be simply changed via software, with no need for hardware modifications. Experimental results on a human target are discussed so as to demonstrate the feasibility of the proposed approach for vital signs detection.


Assuntos
Monitorização Fisiológica/métodos , Respiração , Software , Desenho de Equipamento , Humanos , Monitorização Fisiológica/instrumentação , Experimentação Humana não Terapêutica , Radar , Reprodutibilidade dos Testes , Taxa Respiratória , Processamento de Sinais Assistido por Computador
13.
Sensors (Basel) ; 19(14)2019 Jul 13.
Artigo em Inglês | MEDLINE | ID: mdl-31337067

RESUMO

Mobile gait analysis systems using wearable sensors have the potential to analyze and monitor pathological gait in a finer scale than ever before. A closer look at gait in Parkinson's disease (PD) reveals that turning has its own characteristics and requires its own analysis. The goal of this paper is to present a system with on-shoe wearable sensors in order to analyze the abnormalities of turning in a standardized gait test for PD. We investigated turning abnormalities in a large cohort of 108 PD patients and 42 age-matched controls. We quantified turning through several spatio-temporal parameters. Analysis of turn-derived parameters revealed differences of turn-related gait impairment in relation to different disease stages and motor impairment. Our findings confirm and extend the results from previous studies and show the applicability of our system in turning analysis. Our system can provide insight into the turning in PD and be used as a complement for physicians' gait assessment and to monitor patients in their daily environment.


Assuntos
Algoritmos , Monitorização Fisiológica/instrumentação , Doença de Parkinson/fisiopatologia , Sapatos , Dispositivos Eletrônicos Vestíveis , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos de Casos e Controles , Desenho de Equipamento , Feminino , Transtornos Neurológicos da Marcha/diagnóstico , Transtornos Neurológicos da Marcha/fisiopatologia , Humanos , Masculino , Pessoa de Meia-Idade , Monitorização Fisiológica/métodos , Monitorização Fisiológica/normas , Reprodutibilidade dos Testes , Análise Espaço-Temporal
14.
Sensors (Basel) ; 19(14)2019 Jul 14.
Artigo em Inglês | MEDLINE | ID: mdl-31337107

RESUMO

In recent years, wearable monitoring devices have been very popular in the health care field and are being used to avoid sport injuries during exercise. They are usually worn on the wrist, the same as sport watches, or on the chest, like an electrocardiogram patch. Common functions of these wearable devices are that they use real time to display the state of health of the body, and they are all small sized. The electromyogram (EMG) signal is usually used to show muscle activity. Thus, the EMG signal could be used to determine the muscle-fatigue conditions. In this study, the goal is to develop an EMG patch which could be worn on the lower leg, the gastrocnemius muscle, to detect real-time muscle fatigue while exercising. A micro controller unit (MCU) in the EMG patch is part of an ARM Cortex-M4 processor, which is used to measure the median frequency (MF) of an EMG signal in real time. When the muscle starts showing tiredness, the median frequency will shift to a low frequency. In order to delete the noise of the isotonic EMG signal, the EMG patch has to run the empirical mode decomposition algorithm. A two-electrode circuit was designed to measure the EMG signal. The maximum power consumption of the EMG patch was about 39.5 mAh. In order to verify that the real-time MF values measured by the EMG patch were close to the off-line MF values measured by the computer system, we used the root-mean-square value to estimate the difference in the real-time MF values and the off-line MF values. There were 20 participants that rode an exercise bicycle at different speeds. Their EMG signals were recorded with an EMG patch and a physiological measurement system at the same time. Every participant rode the exercise bicycle twice. The averaged root-mean-square values were 2.86 ± 0.86 Hz and 2.56 ± 0.47 Hz for the first and second time, respectively. Moreover, we also developed an application program implemented on a smart phone to display the participants' muscle-fatigue conditions and information while exercising. Therefore, the EMG patch designed in this study could monitor the muscle-fatigue conditions to avoid sport injuries while exercising.


Assuntos
Eletromiografia/instrumentação , Exercício/fisiologia , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Fadiga Muscular/fisiologia , Processamento de Sinais Assistido por Computador , Adulto , Algoritmos , Ciclismo , Desenho de Equipamento , Feminino , Voluntários Saudáveis , Humanos , Masculino , Contração Muscular , Dispositivos Eletrônicos Vestíveis , Adulto Jovem
15.
PLoS Biol ; 17(7): e3000406, 2019 07.
Artigo em Inglês | MEDLINE | ID: mdl-31339883

RESUMO

Noncontact methods to measure animal activity and physiology are necessary to monitor undisturbed states such as hibernation. Although some noncontact measurement systems are commercially available, they are often incompatible with realistic habitats, which feature freely moving animals in small, cluttered environments. A growing market of single-board computers, microcontrollers, and inexpensive sensors has made it possible to assemble bespoke integrated sensor systems at significantly lower price points. Herein, we describe a custom-built nesting box imager (NBI) that uses a single-board computer (Raspberry Pi) with a passive infrared (IR) motion sensor, silicon charge-coupled device (CCD), and IR camera CCD to monitor the activity, surface body temperature, and respiratory rate of the meadow jumping mouse during hibernation cycles. The data are logged up to 12 samples per minute and postprocessed using custom Matlab scripts. The entire unit can be built at a price point below US$400, which will be drastically reduced as IR (thermal) arrays are integrated into more consumer electronics and become less expensive.


Assuntos
Temperatura Corporal/fisiologia , Hibernação/fisiologia , Modelos Animais , Taxa Respiratória/fisiologia , Animais , Análise Custo-Benefício , Ambiente Controlado , Camundongos , Monitorização Fisiológica/economia , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Reprodutibilidade dos Testes
16.
Sensors (Basel) ; 19(13)2019 Jul 09.
Artigo em Inglês | MEDLINE | ID: mdl-31324070

RESUMO

According to the survey on various health centres, smart log-based multi access physical monitoring system determines the health conditions of humans and their associated problems present in their lifestyle. At present, deficiency in significant nutrients leads to deterioration of organs, which creates various health problems, particularly for infants, children, and adults. Due to the importance of a multi access physical monitoring system, children and adolescents' physical activities should be continuously monitored for eliminating difficulties in their life using a smart environment system. Nowadays, in real-time necessity on multi access physical monitoring systems, information requirements and the effective diagnosis of health condition is the challenging task in practice. In this research, wearable smart-log patch with Internet of Things (IoT) sensors has been designed and developed with multimedia technology. Further, the data computation in that smart-log patch has been analysed using edge computing on Bayesian deep learning network (EC-BDLN), which helps to infer and identify various physical data collected from the humans in an accurate manner to monitor their physical activities. Then, the efficiency of this wearable IoT system with multimedia technology is evaluated using experimental results and discussed in terms of accuracy, efficiency, mean residual error, delay, and less energy consumption. This state-of-the-art smart-log patch is considered as one of evolutionary research in health checking of multi access physical monitoring systems with multimedia technology.


Assuntos
Aprendizado Profundo , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Dispositivos Eletrônicos Vestíveis , Algoritmos , Teorema de Bayes , Pressão Sanguínea , Temperatura Corporal , Eletrocardiografia , Eletroencefalografia , Eletromiografia , Humanos , Multimídia
17.
Aerosp Med Hum Perform ; 90(8): 735-737, 2019 Aug 01.
Artigo em Inglês | MEDLINE | ID: mdl-31331425

RESUMO

INTRODUCTION: Due to the risk of hypoglycemia-related incapacitation, diabetic pilots requiring insulin are assessed as unfit according to the International Civil Aviation Organization and most national authorities. Some authorities, such as those from Canada, the United Kingdom, and the United States, permit selected insulin-treated pilots (ITDM-pilots) to fly subject to a protocol requiring pre- and in-flight capillary glucose measurements to show safe levels (>100-<300 mg · dl-1). Critics of such permission question the practicability of these in-flight measurements and whether clinically desired glycemic targets can be achieved while keeping glucose levels in the safe range. Subcutaneous continuous glucose monitoring (CGM) has recently been approved by the FDA as a stand-alone method to provide accurate glucose levels and treatment decision guidance in patients. This commentary considers that use of CGM by ITDM pilots facilitates practicability and recording of in-flight glucose measurements and facilitates achievement of clinically desired glycemic targets without increasing hypoglycemia risks.Strollo F, Simons R, Mambro A, Strollo G, Gentile S. Continuous glucose monitoring for in-flight measurement of glucose levels of insulin-treated pilots. Aerosp Med Hum Perform. 2019; 90(8):735-737.


Assuntos
Medicina Aeroespacial/métodos , Glicemia/análise , Diabetes Mellitus Tipo 2/tratamento farmacológico , Hipoglicemia/prevenção & controle , Insulina/administração & dosagem , Medicina Aeroespacial/instrumentação , Diabetes Mellitus Tipo 2/sangue , Estudos de Viabilidade , Humanos , Hipoglicemia/sangue , Hipoglicemia/induzido quimicamente , Insulina/efeitos adversos , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Pilotos
19.
Sensors (Basel) ; 19(13)2019 Jul 04.
Artigo em Inglês | MEDLINE | ID: mdl-31277389

RESUMO

Sensors provide the foundation of many smart applications and cyber-physical systems by measuring and processing information upon which applications can make intelligent decisions or inform their users. Inertial measurement unit (IMU) sensors-and accelerometers and gyroscopes in particular-are readily available on contemporary smartphones and wearable devices. They have been widely adopted in the area of activity recognition, with fall detection and step counting applications being prominent examples in this field. However, these sensors may also incidentally reveal sensitive information in a way that is not easily envisioned upfront by developers. Far worse, the leakage of sensitive information to third parties, such as recommender systems or targeted advertising applications, may cause privacy concerns for unsuspecting end-users. In this paper, we explore the elicitation of age and gender information from gait traces obtained from IMU sensors, and systematically compare different feature engineering and machine learning algorithms, including both traditional and deep learning methods. We describe in detail the prediction methods that our team used in the OU-ISIR Wearable Sensor-based Gait Challenge: Age and Gender (GAG 2019) at the 12th IAPR International Conference on Biometrics. In these two competitions, our team obtained the best solutions amongst all international participants, and this for both the age and gender predictions. Our research shows that it is feasible to predict age and gender with a reasonable accuracy on gait traces of just a few seconds. Furthermore, it illustrates the need to put in place adequate measures in order to mitigate unintended information leakage by abusing sensors as an unanticipated side channel for sensitive information or private traits.


Assuntos
Algoritmos , Biometria/métodos , Marcha/fisiologia , Monitorização Fisiológica/instrumentação , Dispositivos Eletrônicos Vestíveis , Acelerometria/instrumentação , Fatores Etários , Bases de Dados Factuais , Aprendizado Profundo , Feminino , Humanos , Masculino , Cadeias de Markov , Modelos Biológicos , Fatores Sexuais
20.
Artigo em Inglês | MEDLINE | ID: mdl-31284443

RESUMO

In hemodialysis, vascular access is usually achieved through an arteriovenous fistula, and a dislodged needle can cause varying degrees of injury to patients. In severe cases, the loss of blood can prove to be fatal. This study proposed a blood leakage detection device for patients during hemodialysis (HD). First, the device was tested on a phantom arm, and later in a clinical test on patients receiving HD. The thoughts of the patients and the nursing staff involved were surveyed before and after the introduction of the device. Analysis of the results indicated that the device achieved 100% and 98.9% accuracy rates on the phantom arm test and clinical test, respectively. The results suggested that patients believed the device could reduce their mental anxiety, and the nursing staff considered the device reliable and that it would enhance the quality of care. The proposed detection device can be extended to similar applications for preventing catheter dislodgement, and to improve patient safety and reduce the stress of clinical nursing staff.


Assuntos
Monitorização Fisiológica/métodos , Tecnologia de Sensoriamento Remoto/métodos , Diálise Renal/efeitos adversos , Dispositivos Eletrônicos Vestíveis , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Monitorização Fisiológica/instrumentação , Taiwan , Telemedicina
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