Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 60.277
Filtrar
1.
Nature ; 630(8015): 84-90, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38840015

RESUMO

Direct and precise monitoring of intracranial physiology holds immense importance in delineating injuries, prognostication and averting disease1. Wired clinical instruments that use percutaneous leads are accurate but are susceptible to infection, patient mobility constraints and potential surgical complications during removal2. Wireless implantable devices provide greater operational freedom but include issues such as limited detection range, poor degradation and difficulty in size reduction in the human body3. Here we present an injectable, bioresorbable and wireless metastructured hydrogel (metagel) sensor for ultrasonic monitoring of intracranial signals. The metagel sensors are cubes 2 × 2 × 2 mm3 in size that encompass both biodegradable and stimulus-responsive hydrogels and periodically aligned air columns with a specific acoustic reflection spectrum. Implanted into intracranial space with a puncture needle, the metagel deforms in response to physiological environmental changes, causing peak frequency shifts of reflected ultrasound waves that can be wirelessly measured by an external ultrasound probe. The metagel sensor can independently detect intracranial pressure, temperature, pH and flow rate, realize a detection depth of 10 cm and almost fully degrade within 18 weeks. Animal experiments on rats and pigs indicate promising multiparametric sensing performances on a par with conventional non-resorbable wired clinical benchmarks.


Assuntos
Hidrogéis , Pressão Intracraniana , Tecnologia sem Fio , Animais , Tecnologia sem Fio/instrumentação , Ratos , Suínos , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Hidrogéis/química , Masculino , Ondas Ultrassônicas , Feminino , Concentração de Íons de Hidrogênio , Injeções/instrumentação , Encéfalo/fisiologia , Encéfalo/diagnóstico por imagem , Temperatura , Implantes Absorvíveis , Ratos Sprague-Dawley
2.
Zhongguo Yi Liao Qi Xie Za Zhi ; 48(3): 330-334, 2024 May 30.
Artigo em Chinês | MEDLINE | ID: mdl-38863103

RESUMO

Pulse rate and blood oxygen levels are crucial physiological parameters that reflect physiological and pathological information within the human body. The system designs a wireless pulse wave monitoring system utilizing a flexible reflective probe and the AFE4490, which is capable of monitoring pulse wave and blood oxygen levels on the human forehead. The system is predominantly based on a reflective flexible probe, the AFE4490, a power supply module, a control microcontroller unit (MCU), and a Wi-Fi module. Post-processing by a slave computer, the collected pulse wave data is wirelessly transmitted to a smartphone. The real-time pulse waveform, pulse rate, and blood oxygen levels are displayed on an application. Following relevant tests and verifications, the system can accurately detect pulse wave signals, meet the requirements for wearable technology, and possesses significant market application potential.


Assuntos
Tecnologia sem Fio , Monitorização Fisiológica/instrumentação , Humanos , Análise de Onda de Pulso/instrumentação , Smartphone , Frequência Cardíaca , Oxigênio , Processamento de Sinais Assistido por Computador , Dispositivos Eletrônicos Vestíveis
3.
Zhongguo Yi Liao Qi Xie Za Zhi ; 48(3): 306-311, 2024 May 30.
Artigo em Chinês | MEDLINE | ID: mdl-38863098

RESUMO

The study provides an overview of the development status of sleep disorder monitoring devices. Currently, polysomnography (PSG) is the gold standard for diagnosing sleep disorders, necessitating multiple leads and requiring overnight monitoring in a sleep laboratory, which can be cumbersome for patients. Nevertheless, the performance of PSG has been enhanced through research on sleep disorder monitoring and sleep staging optimization. An alternative device is the home sleep apnea testing (HSAT), which enables patients to monitor their sleep at home. However, HSAT does not attain the same level of accuracy in sleep staging as PSG, rendering it inappropriate for screening individuals with asymptomatic or mild obstructive sleep apnea-hypopnea syndrome (OSAHS). The study suggests that establishing a Chinese sleep staging database and developing home sleep disorder monitoring devices that can serve as alternatives to PSG will represent a future development direction.


Assuntos
Polissonografia , Apneia Obstrutiva do Sono , Humanos , Monitorização Fisiológica , Monitorização Ambulatorial/instrumentação , Fases do Sono
4.
Comput Biol Med ; 177: 108677, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38833800

RESUMO

Intracranial pressure (ICP) is commonly monitored to guide treatment in patients with serious brain disorders such as traumatic brain injury and stroke. Established methods to assess ICP are resource intensive and highly invasive. We hypothesized that ICP waveforms can be computed noninvasively from three extracranial physiological waveforms routinely acquired in the Intensive Care Unit (ICU): arterial blood pressure (ABP), photoplethysmography (PPG), and electrocardiography (ECG). We evaluated over 600 h of high-frequency (125 Hz) simultaneously acquired ICP, ABP, ECG, and PPG waveform data in 10 patients admitted to the ICU with critical brain disorders. The data were segmented in non-overlapping 10-s windows, and ABP, ECG, and PPG waveforms were used to train deep learning (DL) models to re-create concurrent ICP. The predictive performance of six different DL models was evaluated in single- and multi-patient iterations. The mean average error (MAE) ± SD of the best-performing models was 1.34 ± 0.59 mmHg in the single-patient and 5.10 ± 0.11 mmHg in the multi-patient analysis. Ablation analysis was conducted to compare contributions from single physiologic sources and demonstrated statistically indistinguishable performances across the top DL models for each waveform (MAE±SD 6.33 ± 0.73, 6.65 ± 0.96, and 7.30 ± 1.28 mmHg, respectively, for ECG, PPG, and ABP; p = 0.42). Results support the preliminary feasibility and accuracy of DL-enabled continuous noninvasive ICP waveform computation using extracranial physiological waveforms. With refinement and further validation, this method could represent a safer and more accessible alternative to invasive ICP, enabling assessment and treatment in low-resource settings.


Assuntos
Aprendizado Profundo , Eletrocardiografia , Unidades de Terapia Intensiva , Pressão Intracraniana , Fotopletismografia , Processamento de Sinais Assistido por Computador , Humanos , Pressão Intracraniana/fisiologia , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , Fotopletismografia/métodos , Eletrocardiografia/métodos , Idoso , Monitorização Fisiológica/métodos
5.
Neurology ; 103(1): e209535, 2024 Jul 09.
Artigo em Inglês | MEDLINE | ID: mdl-38861698

RESUMO

Embolic strokes of undetermined source (ESUS) represent 9%-25% of all ischemic strokes. Based on the suspicion that a large proportion of cardioembolic sources remain undetected among embolic stroke of undetermined source patients, it has been hypothesized that a universal approach of anticoagulation would be better than aspirin for preventing recurrent strokes. However, 4 randomized controlled trials (RCTs), with different degrees of patient selection, failed to confirm this hypothesis. In parallel, several RCTs consistently demonstrated that prolonged cardiac monitoring increased atrial fibrillation detection and anticoagulation initiation compared with usual care in patients with ESUS, and later in individuals with ischemic stroke of known cause (e.g., large or small vessel disease). However, none of these trials or subsequent meta-analyses of all available RCTs have shown a reduction in stroke recurrence associated with the use of prolonged cardiac monitoring. In this article, we review the clinical and research implications of recent RCTs of antithrombotic therapy in patients with ESUS and in high-risk populations with and without stroke, with device-detected asymptomatic atrial fibrillation.


Assuntos
Anticoagulantes , AVC Embólico , Humanos , AVC Embólico/etiologia , AVC Embólico/tratamento farmacológico , Anticoagulantes/uso terapêutico , Fibrilação Atrial/tratamento farmacológico , Fibrilação Atrial/complicações , Ensaios Clínicos Controlados Aleatórios como Assunto , Monitorização Fisiológica/métodos
6.
J Opt Soc Am A Opt Image Sci Vis ; 41(6): 1140-1151, 2024 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-38856428

RESUMO

Respiration rate (RR) holds significance as a human health indicator. Presently, the conventional RR monitoring system requires direct physical contact, which may cause discomfort and pain. Therefore, this paper proposes a non-contact RR monitoring system integrating RGB and thermal imaging through RGB-thermal image alignment. The proposed method employs an advanced image processing algorithm for automatic region of interest (ROI) selection. The experimental results demonstrated a close correlation and a lower error rate between measured thermal, measured RGB, and reference data. In summary, the proposed non-contact system emerges as a promising alternative to conventional contact-based approaches without the associated discomfort and pain.


Assuntos
Taxa Respiratória , Taxa Respiratória/fisiologia , Humanos , Algoritmos , Processamento de Imagem Assistida por Computador/métodos , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Termografia/instrumentação , Termografia/métodos , Cor
7.
Ann Plast Surg ; 92(6S Suppl 4): S413-S418, 2024 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-38857006

RESUMO

BACKGROUND: Hourly flap checks are the most common means of flap monitoring during the first 24 hours following autologous breast reconstruction (ABR). This practice often requires intensive care unit (ICU) admission, which is a key driver of health care costs and decreased patient satisfaction. This study addresses these issues by demonstrating decreased cost and length of admission associated with a 4-hour interval between flap checks during the first 24 hours following ABR. METHODS: This is a retrospective review of ABR surgeries performed by multiple surgeons from 2017 to 2020. Two cohorts were identified, one that underwent flap checks every hour in the ICU (Q1 cohort) and the other that underwent flap checks every 4 hours on the hospital floor (Q4 cohort). Our primary outcome measures were length of stay (LOS), flap takebacks, flap loss, and encounter cost. RESULTS: Rates of flap takeback and loss did not differ between cohorts (P = 0.18, P = 0.21). The Q4 cohort's average LOS was shorter than the Q1 cohort (P = 0.002). The Q4 cohort's average cost was also $25,554.80 less than the Q1 cohort (P < 0.001). This association persisted after controlling for LOS, operating room takeback, timing and laterality of reconstruction, and flap configuration (hazard ratio = 0.65, P = 0.0007). CONCLUSION: This study demonstrates the benefits of lengthened flap check intervals during the first 24 hours following ABR. These intervals decrease the cost of ABR while also maintaining safety, making ABR a more accessible option for breast reconstruction patients.


Assuntos
Tempo de Internação , Mamoplastia , Retalhos Cirúrgicos , Humanos , Mamoplastia/métodos , Mamoplastia/economia , Feminino , Estudos Retrospectivos , Pessoa de Meia-Idade , Fatores de Tempo , Tempo de Internação/estatística & dados numéricos , Adulto , Cuidados Pós-Operatórios/métodos , Monitorização Fisiológica/métodos , Transplante Autólogo
8.
Sci Rep ; 14(1): 13863, 2024 Jun 15.
Artigo em Inglês | MEDLINE | ID: mdl-38879652

RESUMO

Heart rate (HR) and respiration rate (RR) play an important role in the study of complex behaviors and their physiological correlations in non-human primates (NHPs). However, collecting HR and RR information is often challenging, involving either invasive implants or tedious behavioral training, and there are currently few established simple and non-invasive techniques for HR and RR measurement in NHPs owing to their stress response or indocility. In this study, we employed a frequency-modulated continuous wave (FMCW) radar to design a novel contactless HR and RR monitoring system. The designed system can estimate HR and RR in real time by placing the FMCW radar on the cage and facing the chest of both awake and anesthetized macaques, the NHP investigated in this study. Experimental results show that the proposed method outperforms existing methods, with averaged absolute errors between the reference monitor and radar estimates of 0.77 beats per minute (bpm) and 1.29 respirations per minute (rpm) for HR and RR, respectively. In summary, we believe that the proposed non-invasive and contactless estimation method could be generalized as a HR and RR monitoring tool for NHPs. Furthermore, after modifying the radar signal-processing algorithms, it also shows promise for applications in other experimental animals for animal welfare, behavioral, neurological, and ethological research.


Assuntos
Frequência Cardíaca , Radar , Taxa Respiratória , Animais , Frequência Cardíaca/fisiologia , Taxa Respiratória/fisiologia , Monitorização Fisiológica/métodos , Macaca , Sinais Vitais , Masculino
9.
Res Vet Sci ; 175: 105320, 2024 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-38838512

RESUMO

The aim of this prospective clinical study was to evaluate the efficacy of the Surgical Pleth Index (SPI), a validated nociception monitor in human anaesthesia, in dogs. The technology uses a plethysmographic signal from a specific pulse oximetry probe to analyse pulse wave amplitudes and heartbeat intervals. Twenty-six healthy dogs anaesthetised for castration were included. SPI, invasive mean arterial pressure (MAP) and heart rate (HR) were continuously monitored. The occurrence or resolution of a haemodynamic reaction (HDR), defined as a > 20% increase in HR and/or MAP, was assessed at predefined times: cutaneous incision, testicles' exteriorization, cutaneous suture, and fentanyl administration. Following nociceptive events, the dogs presenting a HDR showed a significant 8% and 10% increase in SPI at 3 and 5 min respectively, whereas after fentanyl administration, a 13% and 16% significant decrease in SPI were noted. Receiver operating characteristic curves analysis indicated a moderate performance for the dynamic variations of SPI over 1 min to predict a HDR (AUC: 0.68, threshold value: +15%) or its resolution after fentanyl administration (AUC of 0.72, threshold value: -15%) within 3 min. The SPI varied according to perioperative nociceptive events and analgesic treatment; however, its performance to anticipate a HDR was limited with high specificity but low sensivity. Refinement of the algorithm to specifically accommodate for the canine species may be warranted. Further studies are required to evaluate the influence of other factors on the performance of this index.


Assuntos
Nociceptividade , Orquiectomia , Animais , Cães , Masculino , Nociceptividade/efeitos dos fármacos , Estudos Prospectivos , Orquiectomia/veterinária , Fentanila/administração & dosagem , Fentanila/farmacologia , Pletismografia/veterinária , Frequência Cardíaca/efeitos dos fármacos , Oximetria/veterinária , Monitorização Fisiológica/veterinária , Monitorização Fisiológica/métodos
13.
Neurosurg Rev ; 47(1): 280, 2024 Jun 17.
Artigo em Inglês | MEDLINE | ID: mdl-38884871

RESUMO

This critique evaluates a letter to the editor discussing the role of brain tissue oxygen partial pressure (PbtO2) monitoring in the prognosis of patients with traumatic brain injury (TBI). The meta-analysis aims to synthesize existing evidence, highlighting the potential of PbtO2 monitoring as an early indicator of cerebral hypoxia and its correlation with improved patient outcomes. Despite these promising findings, the analysis is constrained by significant methodological variability among the included studies, potential publication bias, and the practical challenges of implementing PbtO2 monitoring widely. The letter emphasizes the need for standardized protocols and further research to solidify the clinical utility of PbtO2 monitoring and integrate it with other monitoring strategies for comprehensive TBI management.


Assuntos
Lesões Encefálicas Traumáticas , Encéfalo , Oxigênio , Humanos , Lesões Encefálicas Traumáticas/diagnóstico , Lesões Encefálicas Traumáticas/terapia , Oxigênio/metabolismo , Prognóstico , Monitorização Fisiológica/métodos , Hipóxia Encefálica/diagnóstico , Pressão Parcial
14.
Health Aff (Millwood) ; 43(5): 701-706, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38709970

RESUMO

Remote physiologic monitoring use increased more than 1,300 percent from 2019 to 2021, and use varied by state. This increase was driven by a small number of (predominantly internal medicine) providers. Female beneficiaries, residents of metropolitan areas, and people diagnosed with diabetes or hypertension had the highest rates of use.


Assuntos
Medicaid , Humanos , Estados Unidos , Feminino , Medicaid/estatística & dados numéricos , Masculino , Monitorização Fisiológica/métodos , Pessoa de Meia-Idade , Adulto , Idoso , Telemedicina/estatística & dados numéricos
15.
Sensors (Basel) ; 24(9)2024 Apr 23.
Artigo em Inglês | MEDLINE | ID: mdl-38732771

RESUMO

Human activity recognition (HAR) technology enables continuous behavior monitoring, which is particularly valuable in healthcare. This study investigates the viability of using an ear-worn motion sensor for classifying daily activities, including lying, sitting/standing, walking, ascending stairs, descending stairs, and running. Fifty healthy participants (between 20 and 47 years old) engaged in these activities while under monitoring. Various machine learning algorithms, ranging from interpretable shallow models to state-of-the-art deep learning approaches designed for HAR (i.e., DeepConvLSTM and ConvTransformer), were employed for classification. The results demonstrate the ear sensor's efficacy, with deep learning models achieving a 98% accuracy rate of classification. The obtained classification models are agnostic regarding which ear the sensor is worn and robust against moderate variations in sensor orientation (e.g., due to differences in auricle anatomy), meaning no initial calibration of the sensor orientation is required. The study underscores the ear's efficacy as a suitable site for monitoring human daily activity and suggests its potential for combining HAR with in-ear vital sign monitoring. This approach offers a practical method for comprehensive health monitoring by integrating sensors in a single anatomical location. This integration facilitates individualized health assessments, with potential applications in tele-monitoring, personalized health insights, and optimizing athletic training regimes.


Assuntos
Dispositivos Eletrônicos Vestíveis , Humanos , Adulto , Masculino , Feminino , Pessoa de Meia-Idade , Adulto Jovem , Atividades Humanas , Orelha/fisiologia , Algoritmos , Atividades Cotidianas , Aprendizado de Máquina , Aprendizado Profundo , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Movimento (Física) , Caminhada/fisiologia
16.
Sensors (Basel) ; 24(9)2024 Apr 23.
Artigo em Inglês | MEDLINE | ID: mdl-38732777

RESUMO

Optical fiber sensors are extensively employed for their unique merits, such as small size, being lightweight, and having strong robustness to electronic interference. The above-mentioned sensors apply to more applications, especially the detection and monitoring of vital signs in medical or clinical. However, it is inconvenient for daily long-term human vital sign monitoring with conventional monitoring methods under the uncomfortable feelings generated since the skin and devices come into direct contact. This study introduces a non-invasive surveillance system that employs an optical fiber sensor and advanced deep-learning methodologies for precise vital sign readings. This system integrates a monitor based on the MZI (Mach-Zehnder interferometer) with LSTM networks, surpassing conventional approaches and providing potential uses in medical diagnostics. This could be potentially utilized in non-invasive health surveillance, evaluation, and intelligent health care.


Assuntos
Aprendizado Profundo , Fibras Ópticas , Sinais Vitais , Humanos , Sinais Vitais/fisiologia , Monitorização Fisiológica/métodos , Monitorização Fisiológica/instrumentação , Redes Neurais de Computação
17.
Sensors (Basel) ; 24(9)2024 Apr 23.
Artigo em Inglês | MEDLINE | ID: mdl-38732781

RESUMO

INTRODUCTION: Diabetic foot ulcers (DFU) are a devastating complication of diabetes. There are numerous challenges with preventing diabetic foot complications and barriers to achieving the care processes suggested in established foot care guidelines. Multi-faceted digital health solutions, which combine multimodal sensing, patient-facing biofeedback, and remote patient monitoring (RPM), show promise in improving our ability to understand, prevent, and manage DFUs. METHODS: Patients with a history of diabetic plantar foot ulcers were enrolled in a prospective cohort study and equipped with custom sensory insoles to track plantar pressure, plantar temperature, step count, and adherence data. Sensory insole data enabled patient-facing biofeedback to cue active plantar offloading in response to sustained high plantar pressures, and RPM assessments in response to data trends of concern in plantar pressure, plantar temperature, or sensory insole adherence. Three non-consecutive case participants that ultimately presented with pre-ulcerative lesions (a callus and/or erythematous area on the plantar surface of the foot) during the study were selected for this case series. RESULTS: Across three illustrative patients, continuous plantar pressure monitoring demonstrated promise for empowering both the patient and provider with information for data-driven management of pressure offloading treatments. CONCLUSION: Multi-faceted digital health solutions can naturally enable and reinforce the integrative foot care guidelines. Multi-modal sensing across multiple physiologic domains supports the monitoring of foot health at various stages along the DFU pathogenesis pathway. Furthermore, digital health solutions equipped with remote patient monitoring unlock new opportunities for personalizing treatments, providing periodic self-care reinforcement, and encouraging patient engagement-key tools for improving patient adherence to their diabetic foot care plan.


Assuntos
Pé Diabético , Humanos , Pé Diabético/terapia , Masculino , Feminino , Pessoa de Meia-Idade , Idoso , Estudos Prospectivos , Pressão , Monitorização Fisiológica/métodos , Saúde Digital
18.
Sensors (Basel) ; 24(9)2024 Apr 26.
Artigo em Inglês | MEDLINE | ID: mdl-38732888

RESUMO

In today's health-monitoring applications, there is a growing demand for wireless and wearable acquisition platforms capable of simultaneously gathering multiple bio-signals from multiple body areas. These systems require well-structured software architectures, both to keep different wireless sensing nodes synchronized each other and to flush collected data towards an external gateway. This paper presents a quantitative analysis aimed at validating both the wireless synchronization task (implemented with a custom protocol) and the data transmission task (implemented with the BLE protocol) in a prototype wearable monitoring platform. We evaluated seven frequencies for exchanging synchronization packets (10 Hz, 20 Hz, 30 Hz, 40 Hz, 50 Hz, 60 Hz, 70 Hz) as well as two different BLE configurations (with and without the implementation of a dynamic adaptation of the BLE Connection Interval parameter). Additionally, we tested BLE data transmission performance in five different use case scenarios. As a result, we achieved the optimal performance in the synchronization task (1.18 ticks as median synchronization delay with a Min-Max range of 1.60 ticks and an Interquartile range (IQR) of 0.42 ticks) when exploiting a synchronization frequency of 40 Hz and the dynamic adaptation of the Connection Interval. Moreover, BLE data transmission proved to be significantly more efficient with shorter distances between the communicating nodes, growing worse by 30.5% beyond 8 m. In summary, this study suggests the best-performing network configurations to enhance the synchronization task of the prototype platform under analysis, as well as quantitative details on the best placement of data collectors.


Assuntos
Dispositivos Eletrônicos Vestíveis , Tecnologia sem Fio , Tecnologia sem Fio/instrumentação , Humanos , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/métodos , Redes de Comunicação de Computadores/instrumentação , Software
19.
Sensors (Basel) ; 24(9)2024 Apr 27.
Artigo em Inglês | MEDLINE | ID: mdl-38732899

RESUMO

This comprehensive review investigates the transformative potential of sensor-driven digital twin technology in enhancing healthcare delivery within smart environments. We explore the integration of smart environments with sensor technologies, digital health capabilities, and location-based services, focusing on their impacts on healthcare objectives and outcomes. This work analyzes the foundational technologies, encompassing the Internet of Things (IoT), Internet of Medical Things (IoMT), machine learning (ML), and artificial intelligence (AI), that underpin the functionalities within smart environments. We also examine the unique characteristics of smart homes and smart hospitals, highlighting their potential to revolutionize healthcare delivery through remote patient monitoring, telemedicine, and real-time data sharing. The review presents a novel solution framework leveraging sensor-driven digital twins to address both healthcare needs and user requirements. This framework incorporates wearable health devices, AI-driven health analytics, and a proof-of-concept digital twin application. Furthermore, we explore the role of location-based services (LBS) in smart environments, emphasizing their potential to enhance personalized healthcare interventions and emergency response capabilities. By analyzing the technical advancements in sensor technologies and digital twin applications, this review contributes valuable insights to the evolving landscape of smart environments for healthcare. We identify the opportunities and challenges associated with this emerging field and highlight the need for further research to fully realize its potential to improve healthcare delivery and patient well-being.


Assuntos
Inteligência Artificial , Atenção à Saúde , Internet das Coisas , Telemedicina , Dispositivos Eletrônicos Vestíveis , Humanos , Telemedicina/métodos , Aprendizado de Máquina , Monitorização Fisiológica/métodos , Monitorização Fisiológica/instrumentação
20.
Sensors (Basel) ; 24(9)2024 Apr 27.
Artigo em Inglês | MEDLINE | ID: mdl-38732910

RESUMO

IoT has seen remarkable growth, particularly in healthcare, leading to the rise of IoMT. IoMT integrates medical devices for real-time data analysis and transmission but faces challenges in data security and interoperability. This research identifies a significant gap in the existing literature regarding a comprehensive ontology for vulnerabilities in medical IoT devices. This paper proposes a fundamental domain ontology named MIoT (Medical Internet of Things) ontology, focusing on cybersecurity in IoMT (Internet of Medical Things), particularly in remote patient monitoring settings. This research will refer to similar-looking acronyms, IoMT and MIoT ontology. It is important to distinguish between the two. IoMT is a collection of various medical devices and their applications within the research domain. On the other hand, MIoT ontology refers to the proposed ontology that defines various concepts, roles, and individuals. MIoT ontology utilizes the knowledge engineering methodology outlined in Ontology Development 101, along with the structured life cycle, and establishes semantic interoperability among medical devices to secure IoMT assets from vulnerabilities and cyberattacks. By defining key concepts and relationships, it becomes easier to understand and analyze the complex network of information within the IoMT. The MIoT ontology captures essential key terms and security-related entities for future extensions. A conceptual model is derived from the MIoT ontology and validated through a case study. Furthermore, this paper outlines a roadmap for future research, highlighting potential impacts on security automation in healthcare applications.


Assuntos
Segurança Computacional , Internet das Coisas , Humanos , Monitorização Fisiológica/métodos , Monitorização Fisiológica/instrumentação , Telemedicina/métodos
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...