Escala de alerta precoce na identificação de pacientes com risco de deterioração clínica / Early warning scale for identifying patients at risk of clinical deterioration / Escala de alerta temprana en la identificación de pacientes con riesgo de deterioro clínico

Objetivo: avaliar pontuação da National Early Warning Score (NEWS) em relação ao tipo de desfecho e perfil dos pacientes da enfermaria clínica médica de um hospital em Teresina, Piauí, Brasil. Método: estudo quantitativo realizado num hospital público, em Teresina, com 150 prontuários de pacientes internados no setor clínica médica de fevereiro de 2022 a dezembro de 2022, a partir de registros demográficos, clínicos e valores da escala na admissão e desfecho. Resultados: houve associação dos valores da escala com a faixa etária (p=0,029), tempo de internação (p=0,023) e tipo de desfecho (p < 0,001). Alto risco clínico prevaleceu entre pacientes do sexo masculino (13%), na faixa etária de 60 a 94 anos (13%), com permanência de 21 a 57 dias (19,2%) e óbito como desfecho (100%). Conclusão: implementação da referida escala evidenciou ser fundamental para prever agravos clínicos e melhorar qualidade da assistência.

Objective: to evaluate the National Early Warning Score (NEWS) in relation to the type of outcome and profile of patients in the medical clinical ward of a hospital in Teresina, Piauí, Brazil. Method: a quantitative study conducted in a public hospital in Teresina, with 150 medical records of patients admitted to the medical clinic sector from February 2022 to December 2022, based on demographic and clinical records and scale values at admission and outcome. Results: there was an association between the scale values and the age group (p=0.029), length of stay (p=0.023) and type of outcome (p < 0.001). High clinical risk prevailed among male patients (13%), aged between 60 and 94 years (13%), with a stay of 21 to 57 days (19.2%), and death as an outcome (100%). Conclusion: implementation of the aforementioned scale proved to be fundamental for predicting clinical problems and improving care quality.

Objetivo: evaluar el puntaje de la National Early Warning Score (NEWS) con respecto al tipo de desenlace y el perfil de los pacientes de la enfermería clínica médica de un hospital en Teresina, Piauí, Brasil. Método: estudio cuantitativo realizado en un hospital público en Teresina, con 150 historiales médicos de pacientes internados en el sector de clínica médica desde febrero de 2022 hasta diciembre de 2022, a partir de registros demográficos, clínicos y valores de la escala en la admisión y desenlace. Resultados: hubo asociación de los valores de la escala con la edad (p=0,029), tiempo de internación (p=0,023) y tipo de desenlace (p < 0,001). El alto riesgo clínico prevaleció entre los pacientes del sexo masculino (13%), en la franja de edad entre 60 y 94 años (13%), con una estancia de 21 a 57 días (19,2%) y fallecimiento como desenlace (100%). Conclusión: la implementación de dicha escala demostró ser fundamental para prever agravios clínicos y mejorar la calidad de la asistencia.

History and Social Implications of the Pulse Oximeter.

The pulse oximeter is a portable, bedside tool that allows for the measurement of oxygen saturation in a patient's red blood cells. The technology is based on oxygenated and deoxygenated hemoglobin absorbing light at different wavelengths. The device calculates the ratio of oxygenated to deoxygenated hemoglobin in the blood, and an algorithm produces a percentage oxygen saturation value. Due to its portability and ease of use, it is a ubiquitous medical tool that is commonly used in medical practice. This paper reviews the history and evolution of this tool, and the scientific laws behind oximetry. It also introduces the importance of the pulse oximeter and its basic functions. In addition, the limitations of pulse oximetry are discussed, especially as they pertain to pigmented skin.

Industry 4.0-Compliant Occupational Chronic Obstructive Pulmonary Disease Prevention: Literature Review and Future Directions.

Chronic obstructive pulmonary disease (COPD) is among prevalent occupational diseases, causing early retirement and disabilities. This paper looks into occupational-related COPD prevention and intervention in the workplace for Industry 4.0-compliant occupation health and safety management. The economic burden and other severe problems caused by COPD are introduced. Subsequently, seminal research in relevant areas is reviewed. The prospects and challenges are introduced and discussed based on critical management approaches. An initial design of an Industry 4.0-compliant occupational COPD prevention system is presented at the end.

Can I Discharge This Adult Patient with Abnormal Vital Signs From the Emergency Department?

BACKGROUND: Vital signs are an essential component of the emergency department (ED) assessment. Vital sign abnormalities are associated with adverse events in the ED setting and may indicate a risk of poor outcomes after ED discharge. CLINICAL QUESTION: What is the risk of adverse events among adult patients with abnormal vital signs at the time of ED discharge? EVIDENCE REVIEW: Studies retrieved included 6 retrospective studies with adult patients discharged from the ED. These studies evaluated adverse outcomes in adult patients discharged from the ED with abnormal vital signs. Hypotension at discharge was associated with the highest odds of adverse events after discharge. Tachycardia was also a key predictor of adverse events after discharge and may be easily missed by ED clinicians. CONCLUSION: Based on the available evidence, the specific vital sign abnormality and the number of total abnormalities influence the risk of adverse outcomes after discharge. Vital sign abnormalities at the time of discharge also increase the risk of ED revisit. The most common abnormal vital sign at the time of discharge is tachycardia.

Incidence, severity and changes of abnormal vital signs in trauma patients: A national population-based analysis.

BACKGROUND: Physiological criteria are used to assess the potential severity of injury in the early phase of a trauma patient's care trajectory. Few studies have described the extent of abnormality in vital signs and different combinations of these at a national level. Aim of the study was to identify physiologic abnormalities in trauma patients and describe different combinations of abnormalities and changes between the pre-hospital and emergency department (ED) settings. METHOD: Norwegian Trauma Registry (NTR) data between 01.01.15 - 31.12.18, where evaluated on the prevalence and characteristics of abnormal physiologic variables. Primary outcome were rates of hypoventilation (respiratory rate [RR] < 10 breaths per min), hyperventilation (RR > 29 breaths per min), hypotension (systolic blood pressure [SBP] < 90 mmHg), and reduced level of consciousness (Glasgow Coma Scale [GCS] < 13). RESULTS: A total of 24,482 patients were included. Documented values for RR, SBP and GCS were 77.6%, 78.5% and 81.9% in the pre-hospital phase, and the corresponding percentages in the ED were 95.5%, 99.2% and 98.6%, respectively. In the pre-hospital phase, 3,615 (14.8%) patients had at least one abnormal vital sign, whereas the corresponding numbers in the ED, were 3,616 (14.8%) patients. The most frequent combination was low GCS and hyperventilation. A worsened RTS-score from pre-hospital phase to the ED was observed for RR, SBP and GCS in 3.9%, 1.2% and 1.9% of incidents, respectively. Overall 30-day mortality was 3.1% (n=752). Of these, 60.8% had abnormal vital signs, with decreased GCS as the most prevalent (61.3%). CONCLUSION: Most trauma patients had normal vital signs. According to the RTS-score, there were few deteriorations in RR, SBP and GCS between pre-hospital phase and the ED. The most frequent abnormality was low GCS, with a higher proportion in those who died within 30 days.

A novel computational signal processing framework towards multimodal vital signs extraction using neck-worn wearable devices.

Pulse rate (PR) and respiratory rate (RR) are two of the most important vital signs. Monitoring them would benefit from easy-to-use technologies. Hence, wearable devices would, in principle, be ideal candidates for such systems. The neck, although highly susceptible to artifacts, presents an attractive location for a diverse pool of physiological biomarkers monitoring purposes such as airflow sensing in a non-obstructive manner. This paper presents a methodology for PR and RR estimation using photoplethysmography (PPG) and accelerometry (Acc) sensors placed on the neck. Neck PPG and Acc signals were recorded from 22 healthy participants for RR estimation, where the resting subjects performed guided breathing following a visual metronome. Neck PPG signals were obtained from 16 healthy participants who breathed through an altitude generator machine in order to acquire a wider range of PR readings while at rest. The proposed methodology was able to provide rate estimates via a combination of recursive FFT-based dominance scoring coupled with an exponentially weighted moving average (EWMA)-driven aggregation scheme. The recursion aimed at bypassing sudden intra-window amplitude deviations caused by momentary artifacts, while the EWMA-based aggregation was utilized for handling inter-window artifact-induced deviations. To further improve estimation stability and confidence, estimates were calculated in the form of rate bands taking into account the relevant clinically acceptable error margins, and results when considering rate values and rate bands are presented and discussed. The framework was able to achieve an overall pulse rate value accuracy of 93.67 ± 7.64 % within the clinically acceptable ± 5 BPM with reference to the gold-standard reference devices while providing an overall respiratory rate value accuracy within the clinically appropriate ± 3 BrPM of 94.94 ± 3.56 % with reference to the guiding visual metronome, and 88.4 ± 7.63 % with respect to the gold-standard reference device. The proposed methodology achieves acceptable PR and RR estimation capabilities, even when signals are acquired from an unusual location such as the neck. This work introduces novel ideas that can lead to the development of medical device outputs for PR and RR monitoring, especially capitalizing on the advantages of the neck as a multi-modal physiological monitoring location.

Limitations of Blood Pressure Measurements in Pediatric Trauma Patients During Field Triage.

INTRODUCTION: Recent revisions of national field triage guidelines recommend the addition of age-specific systolic blood pressure (SBP) measurement for identifying the most severely injured children requiring transport to a trauma center. The purpose of this study was to determine the frequency in which blood pressures are documented by Emergency Medical Service (EMS) providers and the role this measurement has had, among other factors, in triage decisions. METHODS: This is an exploratory descriptive study with a retrospective review from the trauma registry database of all pediatric trauma admissions that arrived by EMS at a level II pediatric trauma center from January 1, 2019 to December 31, 2022. RESULTS: Two hundred ninety-eight patient records of patients aged 0 to 14 were included. EMS providers documented blood pressure in 70.1% of the total sample. A significant difference in the frequency of this documentation was seen between ages zero to nine and = > 10 years (χ2(1,298) = 28.98 p <0.001). No children ages zero to nine years had SBP of < 70 mmHg + (2x age in years) documented by EMS. There were two children aged = > 10 who had a documented SBP < 90 and 12 children with documented EMS heart rate > SBP. CONCLUSION: Many children transported by EMS in this hospital's catchment area did have a field blood pressure measurement documented, but the frequency was significantly less in younger-aged children. The blood pressure measurements of children determined to have severe injuries in the sample did not meet the inclusion criteria for high risk of serious injury by the newly established national guidelines. This suggests other prehospital criteria, such as mechanism of injury or visual cues, prompted EMS to transport these pediatric trauma patients to a regional trauma center for specialized care.

Estimation of the maximum potential cost saving from reducing serious adverse events in hospitalized patients.

PURPOSE: The increasing use of advanced medical technologies to detect adverse events, for instance, artificial intelligence-assisted technologies, has shown promise in improving various aspects within health care but may also come with substantial expenses. Therefore, understanding the potential economic benefits can guide decision-making processes regarding implementation. We aimed to estimate the potential cost savings associated with reducing length of stay and avoiding readmissions within the framework of an artificial intelligence-assisted vital signs monitoring system. METHODS: We used data from Danish national registries and coarsened exact matching to estimate the difference in length of stay and probability of readmission among adult in-hospital patients exposed to and not exposed to serious adverse events. We used these estimates to calculate the maximum potential savings that could be achieved by early detection of adverse events to reduce length of stay and avoid readmissions. RESULTS: Patients exposed to serious adverse events during admission had 2.4 (95% CI: 2.4-2.5) additional hospital bed days and had 14% (95% CI 11%-17%) higher odds of readmissions compared with patients not exposed to such events. A base case scenario yielded maximum potential savings if one patient avoided a serious adverse event of EUR 2040 due to reduced length of stay and EUR 43 due to avoidance of readmissions caused by serious adverse events. CONCLUSION: Reductions in serious adverse events are associated with decreased healthcare costs due to reduced length of stay and avoided readmissions. Artificial intelligence-assisted vital signs monitoring systems are one potential approach to reduce serious adverse events, however, the ability of this technology to reduce adverse events remains unclear. Comprehensive prospective analyses of such systems including the intervention and implementation costs are necessary to understand their full economic impact.

Impact of Foot Reflexology Versus Simple Massage on Vital Signs, Anxiety, and Pain During Blood Transfusion Among Children With Thalassemia.

Introduction Children with thalassemia often require repeated invasive treatments and frequent hospitalizations, resulting in pain, anxiety, and altered vital signs. Implementing non-invasive, non-pharmacological, and inexpensive complementary practices can benefit both the child and their family. Aim This study aimed to evaluate the impact of foot reflexology versus simple massage on vital signs, anxiety, and pain induced by blood transfusions in children with thalassemia. Materials and methods  An experimental study was conducted on 60 children with thalassemia; children aged 2-13 years were selected by systematic random sampling. The participants were separated into two groups: 30 children received foot reflexology and 30 children received a simple massage. Data were collected using a self-structured demographic profile, vital signs record sheet, standard Observational Scale of Behavioral Distress-Revised (OSBD-R) scale, and visual analog scale (VAS). Paired and unpaired t-tests were used to evaluate the effects of the interventions. The chi-square test was utilized to evaluate the relationship between demographic and dependent variables. Result Foot reflexology showed a significant difference (P < 0.05) in systolic and diastolic blood pressure and a highly significant difference (P < 0.0001) in anxiety and pain. The simple massage group showed a significant effect on temperature, anxiety, and pain. Both groups demonstrated a significant impact (P < 0.05) on systolic blood pressure and pain after the intervention. Conclusion  Most children were diagnosed with thalassemia during infancy, had a history of both parent's thalassemia minor, and were Rh+ve. Foot reflexology was more effective in reducing anxiety and pain than simple massage. Additionally, foot reflexology had a significant effect on systolic and diastolic blood pressure, while simple massage significantly affected temperature in children with thalassemia.

Variation in nurses' compliance with an Early Warning Score protocol: A retrospective cohort study.

Introduction: Early Warning Score (EWS) protocols are based on intermittent vital sign measurements, and aim to detect clinical deterioration in a timely manner. Despite its predictive value, its effectiveness remains suboptimal. An important limitation appears to be poor compliance with the EWS protocol and its variation between general wards. The current research does not yet provide an understanding of EWS compliance and variation in different nursing wards. Aim: To explore the variation in nurses' compliance with the EWS protocol among patients with and without complications and between different nursing wards. Methods: In a retrospective single-center cohort study, all patient files from three nursing wards of a tertiary teaching hospital in the Netherlands were reviewed over a 1-month period. Compliance was divided into three categories:1) calculation accuracy, 2) monitoring frequency end 3) clinical response. Results: The cohort of 210 patients contained 5864 measurements, of which 4125 (70.6 %) included EWS. Significant differences in the measured vital signs within incomplete measurements were found among nursing wards. Compliance to monitoring frequency was higher within EWSs of 0-1 (78.4 %) than within EWSs of ≥2 (26.1 %). The proportion of correct follow-up was significantly higher in patients with complications, as was the correct clinical response to an EWS of ≥3 (84.8 % vs. 55.0; p = .011). Conclusion: Our results suggest suboptimal compliance with the EWS protocol, with large variations between patients with and without complications and between different general care wards. Nurses tended to be more compliant with the EWS protocol for patients with complications.

The non-haemorrhagic vagal response to trauma: a review of hypotensive and bradycardic responses to injury in the absence of bleeding.

PURPOSE: Trauma has the potential to cause haemorrhage, tissue damage, pain, visceral manipulation and psychological distress. Each of these consequences of trauma can cause changes in autonomic outflow, which dictates a patient's vital signs. Patients who are hypotensive and bradycardic due to a vagally mediated parasympathetic response to pain, psychological distress and visceral manipulation may be confused with those who exhibit bradycardia and hypotension following significant blood volume loss. METHODS: This review summarises literature that describes specific stimuli, patterns of injury and patient characteristics that are associated with a non-haemorrhagic vagal response to trauma. RESULTS: Twenty-six records described predominantly parasympathetic responses to trauma (both blunt and penetrating) and surgery ("iatrogenic trauma"). Such a non-haemorrhagic vagal response occurs following a wide variety of injury patterns. Patient age and sex are poor predictors of the likelihood of a non-haemorrhagic vagal response. The development and resolution of a non-haemorrhagic vagal response occurs over a heterogenous time period. It is unclear whether speed of onset and resolution is linked to the pattern of injury or other factors causing a predominantly parasympathetic response following non-haemorrhagic trauma. CONCLUSION: The pattern of injury, patient demographic and speed of onset / resolution associated with the non-haemorrhagic vagal response to trauma may is heterogenous. It is therefore challenging to clinically distinguish between the hypotensive bradycardia due to hypovolaemia secondary to haemorrhage, or a parasympathetic response to trauma in the absence of bleeding.

A Novel Protocol for the Early Detection of COVID-19 at a Skilled Nursing Facility.

Accurate measurement of vital signs are important at skilled nursing facilities (SNF). Recent technological advancements now enable automated vital sign measurements. This overcomes the limitations of traditional manual vital sign measurement, which is time-consuming and error-prone. We present a novel case where continuous vital sign measurement was used to detect meaningful vital sign changes that led to early detection of a COVID-19 outbreak at a SNF. Residents were continuously monitored for changes to baseline respiratory rate and heart rate and with a Probability of Change (POC). Variations in baseline respiratory rate and heart rate occurred in 66% and 42%, respectively, of COVID-19 positive individuals; 83% of participants had statistically significant variations in either vital sign. Clinical investigations are typically triggered by vital signs outside normal ranges. We present a novel methodology to detect subtle vital sign changes that can lead to earlier diagnosis, treatment, and recovery from infections, like COVID-19.

Influence of exercise using the Valsalva maneuver on vital signs in young adults.

[Purpose] To examine the influence of exercise using the Valsalva maneuver on vital signs. [Participants and Methods] Twenty-five healthy university students participated in the study. All participants were instructed to perform the squat under two loading intensities, that is, with barbell weights of 40% and 80% of body weight, under two conditions: no breath-holding (Control group) and breath-holding (Valsalva group). Blood pressure, pulse pressure, lactic acid level, and Borg scale scores were measured before and after each exercise session. [Results] Systolic blood pressure, mean blood pressure, and pulse pressure increased in the 80% Control, 40% Valsalva, and 80% Valsalva groups. [Conclusion] The use of the Valsalva maneuver could influence the vital signs of young, healthy participants.

Comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set: a diagnostic study.

BACKGROUND: In the recent years, National Early Warning Score2 (NEWS2) is utilized to predict early on, the worsening of clinical status in patients. To this date the predictive accuracy of National Early Warning Score (NEWS2), Revised Trauma Score (RTS), and Trauma and injury severity score (TRISS) regarding the trauma patients' mortality rate have not been compared. Therefore, the objective of this study is comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set. METHODS: This cross-sectional retrospective diagnostic study performed on 6905 trauma patients, of which 4191 were found eligible, referred to the largest trauma center in southern Iran, Shiraz, during 2022-2023 based on their prehospital data set in order to compare the prognostic power of NEWS2, RTS, and TRISS in predicting in-hospital mortality rate. Patients are divided into deceased and survived groups. Demographic data, vital signs, and GCS were obtained from the patients and scoring systems were calculated and compared between the two groups. TRISS and ISS are calculated with in-hospital data set; others are based on prehospital data set. RESULTS: A total of 129 patients have deceased. Age, cause of injury, length of hospital stay, SBP, RR, HR, temperature, SpO2, and GCS were associated with mortality (p-value < 0.001). TRISS and RTS had the highest sensitivity and specificity respectively (77.52, CI 95% [69.3-84.4] and 93.99, CI 95% [93.2-94.7]). TRISS had the highest area under the ROC curve (0.934) followed by NEWS2 (0.879), GCS (0.815), RTS (0.812), and ISS (0.774). TRISS and NEWS were superior to RTS, GCS, and ISS (p-value < 0.0001). CONCLUSION: This novel study compares the accuracy of NEWS2, TRISS, and RTS scoring systems in predicting mortality rate based on prehospital data. The findings suggest that all the scoring systems can predict mortality, with TRISS being the most accurate of them, followed by NEWS2. Considering the time consumption and ease of use, NEWS2 seems to be accurate and quick in predicting mortality based on prehospital data set.

Effect of music-based interventions on anxiety and stress-related vital signs in patients undergoing cardiac catheterization: A systematic review and meta-analysis.

OBJECTIVES: This work aimed to evaluate the effect of music-based intervention (MBI) on anxiety and stress-related vital signs (heart rate, respiratory rate and blood pressure) in patients undergoing cardiac catheterization. DESIGN: A systematic review and meta-analysis. METHODS: This systematic review and meta-analysis was conducted according to PRISMA guidelines. PubMed, Cochrane Library, Embase and CINAHL were systematically searched from inception to October 31, 2023. Two authors independently searched electronic databases, selected literature, extracted data and assessed the risk of bias according to the eligibility criteria. The Review Manager software (RevMan version 5.4.1) was used to perform meta-analysis. RESULTS: Eleven randomized controlled trials (RCTs) with adult patients (n = 1204) (passive music therapy, 8 studies; passive music listening, 3 studies) were enrolled and brought into qualitative assessment. Nine of these RCTs (n = 868) were taken into quantitative analysis. Meta-analysis using the random-effects model revealed that the difference in the pre-post anxiety level in the music group was significantly greater than that in the control group. However, meta-analysis results for heart rate, respiratory rate, systolic blood pressure and diastolic blood pressure did not show significant differences. CONCLUSION: The findings suggested that MBI had a significant effect on reducing anxiety in patients undergoing cardiac catheterization. However, the limited quantity and quality of included studies highlight the need for additional research to comprehensively analyze the influence of MBI on anxiety reduction in this patient population.

Contactless and Calibration-Free Blood Pressure and Pulse Rate Monitor for Screening and Monitoring of Hypertension: Cross-Sectional Validation Study.

BACKGROUND: The key to reducing the immense morbidity and mortality burdens of cardiovascular diseases is to help people keep their blood pressure (BP) at safe levels. This requires that more people with hypertension be identified, diagnosed, and given tools to lower their BP. BP monitors are critical to hypertension diagnosis and management. However, there are characteristics of conventional BP monitors (oscillometric cuff sphygmomanometers) that hinder rapid and effective hypertension diagnosis and management. Calibration-free, software-only BP monitors that operate on ubiquitous mobile devices can enable on-demand BP monitoring, overcoming the hardware barriers of conventional BP monitors. OBJECTIVE: This study aims to investigate the accuracy of a contactless BP monitor software app for classifying the full range of clinically relevant BPs as hypertensive or nonhypertensive and to evaluate its accuracy for measuring the pulse rate (PR) and BP of people with BPs relevant to stage-1 hypertension. METHODS: The software app, known commercially as Lifelight, was investigated following the data collection and data analysis methodology outlined in International Organization for Standardization (ISO) 81060-2:2018/AMD 1:2020 "Non-invasive Sphygmomanometers-Part 2: Clinical investigation of automated measurement type." This validation study was conducted by the independent laboratory Element Materials Technology Boulder (formerly Clinimark). The study generated data from 85 people aged 18-85 years with a wide-ranging distribution of BPs specified in ISO 81060-2:2018/AMD 1:2020. At least 20% were required to have Fitzpatrick scale skin tones of 5 or 6 (ie, dark skin tones). The accuracy of the app's BP measurements was assessed by comparing its BP measurements with measurements made by dual-observer manual auscultation using the same-arm sequential method specified in ISO 81060-2:2018/AMD 1:2020. The accuracy of the app's PR measurements was assessed by comparing its measurements with concurrent electroencephalography-derived heart rate values. RESULTS: The app measured PR with an accuracy root-mean-square of 1.3 beats per minute and mean absolute error of 1.1 (SD 0.8) beats per minute. The sensitivity and specificity with which it determined that BPs exceeded the in-clinic systolic threshold for hypertension diagnosis were 70.1% and 71.7%, respectively. These rates are consistent with those reported for conventional BP monitors in a literature review by The National Institute for Health and Care Excellence. The app's mean error for measuring BP in the range of normotension and stage-1 hypertension (ie, 65/85, 76% of participants) was 6.5 (SD 12.9) mm Hg for systolic BP and 0.4 (SD 10.6) mm Hg for diastolic BP. Mean absolute error was 11.3 (SD 10.0) mm Hg and 8.6 (SD 6.8) mm Hg, respectively. CONCLUSIONS: A calibration-free, software-only medical device was independently tested against ISO 81060-2:2018/AMD 1:2020. The safety and performance demonstrated in this study suggest that this technique could be a potential solution for rapid and scalable screening and management of hypertension.

A novel health monitoring system for vital signs using IoT.

The current research looked at how to use the Internet of Things (IoT) to create a vital sign health monitoring system. Eight indications are employed to get critical patient information. Therefore, the number of nodes of the IoT embedded in the human body is 8, which have been worked on in different places of the body. Among the 8 nodes, node number 1 is located in the center of the grid (the center of the human body). The number of rounds is 9000 and the nodes are adopted with the initial energy of the nodes of 0.5 J and the radio range of 10 m. MATLAB software was used to simulate the WBAN network, which consists of IoT sensors embedded in the human body. The eight-item health assessment tool takes the following into account: pulse rate, blood pressure (mm Hg), serum cholesterol (mg/dl), temperature (°C), exercise-induced angina, and exercise-induced ST-wave depression, major blood vessels are counted using a medical procedure called endoscopy that involves examining the alveoli, which are small air sacs in the lungs where gas exchange occurs. We compared the number of major vessels at rest with the maximal heart rate during activity. The sensors were responsible for sending this data to the health center (base station). The data collected from the installation of these 8 sensors on 303 patients were collected and evaluated by machine learning method using MLP neural network method. Finally, it can be claimed that the present study has provided an automated method of determining the health of people using the IoT in a way that provides a state of health with an accuracy of over 99% and can be used in medical centers.

Reliable Contactless Monitoring of Heart Rate, Breathing Rate, and Breathing Disturbance During Sleep in Aging: Digital Health Technology Evaluation Study.

BACKGROUND: Longitudinal monitoring of vital signs provides a method for identifying changes to general health in an individual, particularly in older adults. The nocturnal sleep period provides a convenient opportunity to assess vital signs. Contactless technologies that can be embedded into the bedroom environment are unintrusive and burdenless and have the potential to enable seamless monitoring of vital signs. To realize this potential, these technologies need to be evaluated against gold standard measures and in relevant populations. OBJECTIVE: We aimed to evaluate the accuracy of heart rate and breathing rate measurements of 3 contactless technologies (2 undermattress trackers, Withings Sleep Analyzer [WSA] and Emfit QS [Emfit]; and a bedside radar, Somnofy) in a sleep laboratory environment and assess their potential to capture vital signs in a real-world setting. METHODS: Data were collected from 35 community-dwelling older adults aged between 65 and 83 (mean 70.8, SD 4.9) years (men: n=21, 60%) during a 1-night clinical polysomnography (PSG) test in a sleep laboratory, preceded by 7 to 14 days of data collection at home. Several of the participants (20/35, 57%) had health conditions, including type 2 diabetes, hypertension, obesity, and arthritis, and 49% (17) had moderate to severe sleep apnea, while 29% (n=10) had periodic leg movement disorder. The undermattress trackers provided estimates of both heart rate and breathing rate, while the bedside radar provided only the breathing rate. The accuracy of the heart rate and breathing rate estimated by the devices was compared with PSG electrocardiogram-derived heart rate (beats per minute) and respiratory inductance plethysmography thorax-derived breathing rate (cycles per minute), respectively. We also evaluated breathing disturbance indexes of snoring and the apnea-hypopnea index, available from the WSA. RESULTS: All 3 contactless technologies provided acceptable accuracy in estimating heart rate (mean absolute error <2.12 beats per minute and mean absolute percentage error <5%) and breathing rate (mean absolute error ≤1.6 cycles per minute and mean absolute percentage error <12%) at 1-minute resolution. All 3 contactless technologies were able to capture changes in heart rate and breathing rate across the sleep period. The WSA snoring and breathing disturbance estimates were also accurate compared with PSG estimates (WSA snore: r2=0.76; P<.001; WSA apnea-hypopnea index: r2=0.59; P<.001). CONCLUSIONS: Contactless technologies offer an unintrusive alternative to conventional wearable technologies for reliable monitoring of heart rate, breathing rate, and sleep apnea in community-dwelling older adults at scale. They enable the assessment of night-to-night variation in these vital signs, which may allow the identification of acute changes in health, and longitudinal monitoring, which may provide insight into health trajectories. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3390/clockssleep6010010.

DiffPhys: Enhancing Signal-to-Noise Ratio in Remote Photoplethysmography Signal Using a Diffusion Model Approach.

Remote photoplethysmography (rPPG) is an emerging non-contact method for monitoring cardiovascular health based on facial videos. The quality of the captured videos largely determines the efficacy of rPPG in this application. Traditional rPPG techniques, while effective for heart rate (HR) estimation, often produce signals with an inadequate signal-to-noise ratio (SNR) for reliable vital sign measurement due to artifacts like head motion and measurement noise. Another pivotal factor is the overlooking of the inherent properties of signals generated by rPPG (rPPG-signals). To address these limitations, we introduce DiffPhys, a novel deep generative model particularly designed to enhance the SNR of rPPG-signals. DiffPhys leverages the conditional diffusion model to learn the distribution of rPPG-signals and uses a refined reverse process to generate rPPG-signals with a higher SNR. Experimental results demonstrate that DiffPhys elevates the SNR of rPPG-signals across within-database and cross-database scenarios, facilitating the extraction of cardiovascular metrics such as HR and HRV with greater precision. This enhancement allows for more accurate monitoring of health conditions in non-clinical settings.