Can a prolonged healing pressure injury be benefited by using an AI mattress? A case study.

BACKGROUND: Pressure injuries are a common and serious issue for bedridden residents in long-term-care facilities. Areas of bony prominences, such as the scapula, sacrum, and heels, are more likely to develop pressure injuries. The management of pressure injury wounds include dressing changes, repositioning, away from moisture, decreasing the occurrence of friction and shear, and more. Some supportive surfaces are also used for pressure injury cases such as gel pads, alternating pressure air mattresses, and air-fluidized beds. The aim of this case study was to determine whether the use of an artificial intelligent mattress can improve a nursing home resident with prolonged pressure injury. CASE PRESENTATION: A retrospective study design was conducted for this case study. A 79-year-old male developed a pressure injury in the sacrum. His pressure injury was initially at stage 4, with a score of 12 by the Braden scale. The PUSH score was 16. During 5.5 months of routine care plus the use of the traditional alternative air mattress, in the nursing home, the wound stayed in stage 3 but the PUSH score increased up to 11. An artificial intelligence mattress utilizing 3D InterSoft was used to detect the bony prominences and redistribute the external pressure of the skin. It implements a color guided schematic of 26 colors to indicate the amount of pressure of the skin. RESULTS: The wound size was decreased and all eczema on the resident's back diminished. The PUSH score was down to 6, as the artificial intelligent mattress was added into the routine care. The staff also reported that the resident's quality of sleep improved and moaning decreased. The hemiplegic side is at greater risk of developing pressure injury. CONCLUSIONS: This novice device appeared to accelerate wound healing in this case. In the future, more cases should be tested, and different care models or mattress can be explored.

Equity and efficiency of health resource allocation in township health centers in Sichuan Province, China.

OBJECTIVE: To analyze the equity and efficiency of health resource allocation in township health centers in Sichuan Province, and to provide a scientific basis for promoting the development of township health centers in Sichuan Province, China. METHODS: The Lorenz curve, Gini coefficient and health resource density index were used to analyze the equity of health resource allocation in township health centers in Sichuan Province from 2017 to 2021, and data envelopment analysis(DEA) was used to analyze the efficiency of health resource allocation in township health centers in Sichuan Province from 2017 to 2021. RESULTS: The Gini coefficient of health resources of township health centers in Sichuan Province is below 0.2 by population in addition to the number of beds in 2020-2021 and practicing (assistant) physicians in 2021, and the Gini coefficient of health resources of township health centers in Sichuan Province is above 0.6 by geography. The Lorentz curve of health resources of township health centers in Sichuan Province is closer to the equity line by population allocation and further from the equity line by geographical allocation. The average level of township health centers in Sichuan Province is used as the standard to calculate the health resource density standard index(W) of each region, the Ws of Panzhihua, Ganzi, Aba and Liangshan are less than 1, and the Ws of Ziyang, Neijiang, Deyang and Meishan are greater than 1. The overall efficiency of township health centers in Sichuan Province in 2017 and 2021 is 1, and the DEA is relatively effective. The overall efficiency of township health centers in Sichuan Province in 2018 and 2019 is not 1, and the DEA is relatively ineffective. The overall efficiency of all health resources in Mianyang and Ziyang is 1, and the DEA is relatively effective. The overall efficiency of all health resources in Suining, Neijiang, Yibin, Aba and Ganzi is not 1, and the DEA is relatively ineffective. CONCLUSION: The equity of health resource allocation by population is better than that by geography in township health centers in Sichuan Province. Combining population and geographical factors, the health resource allocation of Panzhihua, Ganzi, Aba and Liangshan is lower than the average level of Sichuan Province. The efficiency of health resource allocation in township health centers in Sichuan Province is low.

A novel in-bed body posture monitoring for decubitus ulcer prevention using body pressure distribution mapping.

BACKGROUND: Decubitus ulcers are prevalent among the aging population due to a gradual decline in their overall health, such as nutrition, mental health, and mobility, resulting in injury to the skin and tissue. The most common technique to prevent these ulcers is through frequent repositioning to redistribute body pressures. Therefore, the main goal of this study is to facilitate the timely repositioning of patients through the use of a pressure mat to identify in-bed postures in various sleep environments. Pressure data were collected from 10 healthy participants lying down on a pressure mat in 19 various in-bed postures, correlating to the supine, prone, right-side, and left-side classes. In addition, pressure data were collected from participants sitting at the edge of the bed as well as an empty bed. Each participant was asked to lie in these 19 postures in three distinct testing environments: a hospital bed, a home bed, and a home bed with a foam mattress topper. To categorize each posture into its respective class, the pre-trained 2D ResNet-18 CNN and the pre-trained Inflated 3D CNN algorithms were trained and validated using image and video pressure mapped data, respectively. RESULTS: The ResNet-18 and Inflated 3D CNN algorithms were validated using leave-one-subject-out (LOSO) and leave-one-environment-out (LOEO) cross-validation techniques. LOSO provided an average accuracy of 92.07% ± 5.72% and 82.22% ± 8.50%, for the ResNet-18 and Inflated 3D CNN algorithms, respectively. Contrastingly, LOEO provided a reduced average accuracy of 85.37% ± 14.38% and 77.79% ± 9.76%, for the ResNet-18 and Inflated 3D CNN algorithms, respectively. CONCLUSION: These pilot results indicate that the proposed algorithms can accurately distinguish between in-bed postures, on unseen participant data as well as unseen mattress environment data. The proposed algorithms can establish the basis of a decubitus ulcer prevention platform that can be applied to various sleeping environments. To the best of our knowledge, the impact of mattress stiffness has not been considered in previous studies regarding in-bed posture monitoring.

Electrochemical polishing, characterisation and in vitro evaluation of additively manufactured CoCr stents with personalised designs.

Additive manufacturing (AM) technology has paved the way for manufacturing personalised stents. However, there is a notable gap in comprehensive microstructure analyses and in vitro evaluations of the AM CoCr stents using advanced methodologies. To address this gap, this study focuses on investigating the microstructure and in vitro performance of personalised CoCr stents manufactured through micro-laser powder bed fusion (µ-LPBF). The evaluation process begins with the measurements of dimensions and surface roughness, followed by in-depth microstructural analyses. To improve surface roughness and reduce excessive strut size, the µ-LPBF stents undergo electrochemical polishing. Importantly, in vitro stent deployments are carried out in artificial arteries manufactured based on actual patients' data. Compared to the commercial MULTI-LINK VISION CoCr stent, the µ-LPBF personalised stents have rough surface finish (average roughness: 1.55 µm for µ-LPBF vs. 1.09 µm for commercial) and compromised grain microstructures (elongated for µ-LPBF vs. equiaxed for commercial). However, the personalised stents demonstrate better performances in in vitro tests. Notably, compared to the commercial stent in the two studied cases, they deliver larger lumen gains (up to 11.24 %) and reduced recoils (up to 4 times). This study validates the merit of the lesion-specific designs and the feasibility of using AM technology for stent fabrication.

[Modeling and comfort analysis of arrayed air cushion mattress for pressure ulcer prevention and assisted repositioning].

Assisting immobile individuals with regular repositioning to adjust pressure distribution on key prominences such as the back and buttocks is the most effective measure for preventing pressure ulcers. However, compared to active self-repositioning, passive assisted repositioning results in distinct variations in force distribution on different body parts. This incongruity can affect the comfort of repositioning and potentially lead to a risk of secondary injury, for certain trauma or critically ill patients. Therefore, it is of considerable practical importance to study the passive turning comfort and the optimal turning strategy. Initially, in this study, the load-bearing characteristics of various joints during passive repositioning were examined, and a wedge-shaped airbag configuration was proposed. The airbags coupled layout on the mattress was equivalently represented as a spring-damping system, with essential model parameters determined using experimental techniques. Subsequently, different assisted repositioning strategies were devised by adjusting force application positions and sequences. A human-mattress force-coupled simulation model was developed based on rigid human body structure and equivalent flexible springs. This model provided the force distribution across the primary pressure points on the human body. Finally, assisted repositioning experiments were conducted with 15 participants. The passive repositioning effectiveness and pressure redistribution was validated based on the simulation results, experimental data, and questionnaire responses. Furthermore, the mechanical factors influencing comfort during passive assisted repositioning were elucidated, providing a theoretical foundation for subsequent mattress design and optimization of repositioning strategies.

Organizational development and management factors involved in the prevention and effective therapy of pressure ulcers: The results of the national survey conducted among Hungarian public hospitals.

The prevention of pressure ulcer (PU) or pressure injury (PI) wounds is of public health importance in developed countries, including Hungary. The study aimed to assess the PU/PI prevention and care practices of Hungarian public hospitals and identify organizational and management factors. In 2022, a national, questionnaire-based survey of inpatient institutions relevant to PU/PI care was conducted, providing a picture of the practices of 86 hospitals for the year 2019. The questionnaire was processed using descriptive statistics and regression analysis. The survey results show that good practices in Hungary are isolated, the reporting system is inhomogeneous, and documentation is not uniform across our institutional system. Of the 86 institutions, 71.0% operate a PU prevention team, 64.0% use prophylactic dressings, and 88.3% use an anti-decubitus mattress, with an average ratio of 26.1% to the number of beds. Less than half of the institutions reported the incidence of hospital acquired pressure injuries (HAPIs). In this sample, we found no significant association between hospital type and hospital size with the incidence of full-thickness HAPIs (stage III and IV wounds). Developing a comprehensive PU/PI reporting system and updating the national PU/PI prevention and care guidelines are essential in Hungary.

Pressure Injury Mitigation in Prolonged Care: A Randomized Noninferiority and Superiority Trial.

INTRODUCTION: Combat casualties are at increased risk for pressure injuries (PIs) during prolonged casualty care. There is limited research on operational PI risk mitigation strategies. The purpose of this study was to (1) compare a prototype mattress (AirSupport) designed for operational conditions versus the foldable Talon litter and Warrior Evacuation Litter Pad (WELP) on PI risk factors and (2) determine whether the Talon + AirSupport pad was noninferior and superior to the Talon + WELP on skin interface pressure. MATERIALS AND METHODS: Healthy adults (N = 85; 20 men and 65 women), aged 18 to 55 years, were stratified based on body fat percentage and randomized into three groups: Talon (n = 15), Talon + AirSupport (n = 35), and Talon + WELP (n = 35). The participants were asked to lie in a supine position for 1 hour. The outcomes included skin interface pressure (body surface areas: Sacrum, buttocks, occiput, and heels), sacral and buttock skin temperature and moisture, and discomfort and pressure. The study was approved by the University of Washington Institutional Review Board. RESULTS: Aim 1: The Talon had significantly higher peak skin interface pressure versus the AirSupport and WELP on the sacrum, buttocks, occiput, and heels. Skin temperature increase over the 1-hour loaded period was significantly lower on Talon versus AirSupport or WELP, reflecting a lower temperature-induced ischemic load. There was no significant difference in skin moisture changes or discomfort between the surfaces. Aim 2: The upper confidence limits for the difference in skin interface pressure (all body surface areas) for AirSupport versus WELP were below 25 mm Hg, establishing noninferiority of the AirSupport to the WELP. AirSupport was also superior to WELP for the peak interface pressure on the sacrum, occiput, and heels but not on the buttocks. Skin temperature changes (sacrum or buttocks) were not significantly different between the AirSupport and WELP. CONCLUSIONS: The Talon litter presents a PI risk because of increased skin interface pressure, and hence, immediate action is warranted. The decreased PI risk associated with the lower skin interface pressures on the AirSupport and WELP was offset by the higher skin temperature, which may add the equivalent of 20 to 30 mm Hg pressure to the ischemic burden. Thus, any pressure redistribution intervention must be evaluated with a consideration for skin interface pressure, temperature, and moisture. Data from this study were applied to a predictive model for skin damage. Under operational conditions where resources and the environment may limit patient repositioning, it would be expected that casualties would suffer skin damage within 2 to 5 hours, with the occiput as the highest risk area. The severity of predicted skin damage is lowest on the AirSupport, which is consistent with the noninferiority and superiority of the AirSupport mattress compared to the WELP and Talon. Operational utility: The AirSupport and WELP, which were both superior to the Talon, are operationally feasible solutions to mitigate PI risk. The smaller size of the Talon (2.7 kgs compressible) versus the WELP (5 kgs noncompressible) may make them appropriate for different levels of the operational setting.

Use of a Shear Reduction Surface for Prehospital Transport: A Randomized Crossover Study.

OBJECTIVE: To compare the effectiveness of an antishear mattress overlay (ASMO) with a standard ambulance stretcher surface in reducing pressure and shear and increasing patient comfort. METHODS: In this randomized, crossover design, adults in three body mass index categories served as their own controls. Pressure/shear sensors were applied to the sacrum, ischial tuberosity, and heel. The stretcher was placed in sequential 0°, 15°, and 30° head-of-bed elevations with and without an ASMO. The ambulance traveled a closed course, achieving 30 mph, with five stops at each head-of-bed elevation. Participants rated discomfort after each series of five runs. RESULTS: Thirty individuals participated. Each participant had 30 runs (15 with an ASMO, 15 without), for a total of 900 trial runs. The peak-to-peak shear difference between support surfaces was -0.03 N, indicating that after adjustment for elevation, sensor location, and body mass index, peak shear levels at baseline (starting pause) were 0.03 N lower for the ASMO than for the standard surface ( P = .02). The peak-to-peak pressure difference between surfaces was -0.16 mm Hg, indicating that prerun peak-to-peak pressure was 0.16 mm Hg lower with the ASMO versus standard surface ( P = .002). The heel received the most pressure and shear. Discomfort score distributions differed between surfaces at 0° ( P = .004) and 30° ( P = .01); the overall score across all elevations was significantly higher with the standard surface than with the ASMO ( P = .046). CONCLUSIONS: The ASMO reduced shear, pressure, and discomfort. During transport, the ambulance team should provide additional heel offloading.

Earliest known Gondwanan bird tracks: Wonthaggi Formation (Early Cretaceous), Victoria, Australia.

The fossil record for Cretaceous birds in Australia has been limited to rare skeletal material, feathers, and two tracks, a paucity shared with other Gondwanan landmasses. Hence the recent discovery of 27 avian footprints and other traces in the Early Cretaceous (Barremian-Aptian, 128-120 Ma) Wonthaggi Formation of Victoria, Australia amends their previous rarity there, while also confirming the earliest known presence of birds in Australia and the rest of Gondwana. The avian identity of these tracks is verified by their tridactyl forms, thin digits relative to track lengths, wide divarication angles, and sharp claws; three tracks also have hallux imprints. Track forms and sizes indicate a variety of birds as tracemakers, with some among the largest reported from the Early Cretaceous. Although continuous trackways are absent, close spacing and similar alignments of tracks on some bedding planes suggest gregariousness. The occurrence of this avian trace-fossil assemblage in circumpolar fluvial-floodplain facies further implies seasonal behavior, with trackmakers likely leaving their traces on floodplain surfaces during post-thaw summers.

Transferability of a Sensing Mattress for Posture Classification from Research into Clinics.

Sleep is crucial in rehabilitation processes, promoting neural plasticity and immune functions. Nocturnal body postures can indicate sleep quality and frequent repositioning is required to prevent bedsores for bedridden patients after a stroke or spinal cord injury. Polysomnography (PSG) is considered the gold standard for sleep assessment. Unobtrusive methods for classifying sleep body postures have been presented with similar accuracy to PSG, but most evaluations have been done in research lab environments. To investigate the challenges in the usability of a previously validated device in a clinical setting, we recorded the sleep posture of 17 patients with a sensorized mattress. Ground-truth labels were collected automatically from a PSG device. In addition, we manually labeled the body postures using video data. This allowed us also to evaluate the quality of the PSG labels. We trained neural networks based on the VGG-3 architecture to classify lying postures and used a self-label correction method to account for noisy labels in the training data. The models trained with the video labels achieved a higher classification accuracy than those trained with the PSG labels (0.79 vs. 0.68). The self-label correction could further increase the models' scores based on video and PSG labels to 0.80 and 0.70, respectively. Unobtrusive sensors validated in clinics can, therefore, potentially improve the quality of care for bedridden patients and advance the field of rehabilitation.

Use of a novel pressure distribution system for severely ill neonates: a clinical pilot study carried out by the PREPICare consortium.

BACKGROUND: Pressure Injuries are not exclusively an adult phenomenon; various risk factors contribute to a high prevalence rate of 43% in the neonatal and pediatric intensive care population. Effective preventive measures in this population are limited. METHODS: We performed a pilot study to analyze the distribution and localization of support surface interface pressures in neonates in a pediatric intensive care unit (PICU). The hypothesis was that pressure redistribution by a novel air mattress would reduce pressure peaks in critical neonates. The measurements were conducted in a 27-bed level III PICU between November and December 2020. This included measuring pressure distribution and pressure peaks for five neonates positioned on either a state-of-the-art foam mattress or a new prototype air mattress. RESULTS: We confirmed that the pressure peaks were significantly reduced using the prototype air mattress, compared with the state-of-the-art foam mattress. The reduction of mean pressure values was 9-29%, while the reduction of the highest 10% of pressure values was 23-41%. CONCLUSIONS: The journey to an effective, optimal, and approved product for severely ill neonates to reduce Pressure Injuries is challenging. However, a crucial step was completed by this pilot study with the first pressure measurements in a real-world setting and the successful realization of a decrease in pressure peaks obtained using a prototype air mattress.

Patient safety with covid-19 in hospital units: a scoping review.

OBJECTIVE: Map, in the scientific literature, the actions taken to promote the safety of patients with covid-19 in the hospital context. METHODS: This is a scoping review according to the Joanna Briggs Institute, using the Checklist Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. In April 2022, searches were performed on nine data sources. The results were summarized in a table and analyzed descriptively. RESULTS: Fifteen studies were selected to compose the final sample. Most articles refer to cohort studies, followed by clinical trials. As for the areas of activity, there was a predominance of surgical centers, followed by adult and pediatric Intensive Care Units. CONCLUSIONS: With this review, it was possible to map measures such as contingency plans and reorganization of beds, rooms, and operating rooms, in addition to the isolation and distancing practiced by patients and professionals.

Complexity measure based on sensitivity analysis applied to an intensive care unit system.

This work proposes a system complexity metric and its application to Intensive Care Unit (ICU) system. The methodology for applying said complexity metric comprises: (i) parameters sensitivity indices calculation, (ii) mapping connections dynamics between system components, and (iii) system's complexity calculation. After simulating the ICU computer model and using the proposed methodology, we obtained results regarding: number of admissions, number of patients in the queue, length of stay, beds in use, ICU performance, and system complexity values (in regular or overloaded operation). As the number of patients in the queue increased, the ICU system complexity also increased, indicating a need for policies to promote system robustness.

Prevention of pressure injuries using a non-motorised decompression air mattress: a non-interventional study.

OBJECTIVE: Prevention of pressure injuries (PI) is a public health issue. Among the preventive measures, the use of support surfaces adapted to the risk of PI occurrence is recommended. This study aimed to report the incidence of PIs in patients at medium-to-high risk of occurrence of PIs and using a new non-motorised automated decompression air mattress combined with other recommended PI prevention measures. METHOD: An observational, national, multicentre, prospective, non-comparative study, with a follow-up period of 35 days was conducted. Patients at medium-to-high risk of PIs and without PIs at baseline were included if they were lying on a specific non-powered automated decompression air mattress. The primary outcome was the percentage of patients who developed at least one category 2 or more severe PI of the sacrum, backbone or heel between day 0 and day 35. RESULTS: In total, 81 patients were included from four participating centres. There was one report of a patient with a PI that fitted within the definition of the primary outcome, meaning an incidence of 1.2% (95% confidence interval (CI) 0-6.7%). More than 80% of patients rated the overall comfort and the stability of the non-motorised automated decompression air mattress as satisfactory or very satisfactory. In more than 80% of cases, the healthcare teams found the use of the mattress to be easy or very easy. CONCLUSION: This study has shown that in combination with other preventive measures, the use of a specific non-motorised air mattress with automated decompression is associated with a low incidence of PIs in patients with medium-to-high risk of occurrence of PIs.

Healthcare-Associated Infections and the Hospital Bed.

OBJECTIVE: Bedframes are a potential source of bacterial contamination, fomites, and healthcare-associated infections for patients with active skin wounds and other underlying conditions. Bedframes also differ in their design, materials, texture, and ease of disassembly for cleaning. In this study, the authors evaluated five hospital bedframes in terms of retained soil and ease of cleaning as rated by volunteers. METHODS: Hospital mattresses were placed on five different bedframes and soiled with mock bodily fluids containing Geobacillus stearothermophilus endospores as an indicator organism for contamination. In a second set of experiments, volunteers evaluated the bedframes for ease of cleaning; fewer than 30% of the volunteers had experience cleaning in hospitals or had previously received infection-control training. Questionnaires evaluated subjective measures such as ease of cleaning and texture. RESULTS: Researchers observed a strong correlation between the initial amount of soil retained, the most probable number calculations of endospore counts, and the number of washes to reach extinction (no detectable endospores). Although volunteers' rankings for ease of cleaning were independent of the amount of soil retained, their rankings correlated with the actual washes to reach undetectable limits and bedframe materials that were perceived as harder to clean. CONCLUSIONS: This study demonstrates the importance of both bedframe design and user cleaning experience in reducing bedframes as a source of healthcare-associated infections.

Optimization of Spatial and Temporal Configuration of a Pressure Sensing Array to Predict Posture and Mobility in Lying.

Commercial pressure monitoring systems have been developed to assess conditions at the interface between mattress/cushions of individuals at risk of developing pressure ulcers. Recently, they have been used as a surrogate for prolonged posture and mobility monitoring. However, these systems typically consist of high-resolution sensing arrays, sampling data at more than 1 Hz. This inevitably results in large volumes of data, much of which may be redundant. Our study aimed at evaluating the optimal number of sensors and acquisition frequency that accurately predict posture and mobility during lying. A continuous pressure monitor (ForeSitePT, Xsensor, Calgary, Canada), with 5664 sensors sampling at 1 Hz, was used to assess the interface pressures of healthy volunteers who performed lying postures on two different mattresses (foam and air designs). These data were down sampled in the spatial and temporal domains. For each configuration, pressure parameters were estimated and the area under the Receiver Operating Characteristic curve (AUC) was used to determine their ability in discriminating postural change events. Convolutional Neural Network (CNN) was employed to predict static postures. There was a non-linear decline in AUC values for both spatial and temporal down sampling. Results showed a reduction of the AUC for acquisition frequencies lower than 0.3 Hz. For some parameters, e.g., pressure gradient, the lower the sensors number the higher the AUC. Posture prediction showed a similar accuracy of 63-71% and 84-87% when compared to the commercial configuration, on the foam and air mattress, respectively. This study revealed that accurate detection of posture and mobility events can be achieved with a relatively low number of sensors and sampling frequency.

Impact of a new clinical mattress solution on interface pressure and comfort during supine lying.

OBJECTIVE: Effective pressure management for individuals is critical for hospital and community-based care, to prevent the occurrence of pressure ulcers. This study explores the impact of a new mattress and topper solution on interface pressure and comfort during supine lying. METHOD: In this quantitative, healthy cohort study, patient-surface interface pressures were calculated for three mattresses (a standard hospital mattress, a new mattress solution (Levitex Foams Ltd., UK) and a dynamic air flow mattress) with and without an innovative topper solution (Levitex Foams Ltd., UK). Subjective comfort, contact surface area, peak and mean pressure and peak pressure index (head, sacrum, heels) were calculated for all mattress conditions for a 21-minute period. RESULTS: A total of 27 healthy volunteers took part in this study. The new mattress solution decreased peak pressure significantly compared with the hospital and air mattresses (p<0.04). Lower peak pressures were observed for the hospital mattress compared with the dynamic air flow mattress. The new mattress solution improved comfort and significantly lowered (>30%; p≤0.005) heel and head pressure compared with the other surfaces. Both hospital and air mattresses significantly reduced pressure and improved comfort with the addition of the new topper solution (p<0.05). CONCLUSION: The new mattress solution used in this study offers a potentially improved pressure management solution for individuals. Implementation of the topper may also help to improve pressure management when used with existing standard or dynamic air flow mattresses.

Spatio-Temporal Cluster Mapping System in Smart Beds for Patient Monitoring.

Innovative technological solutions are required to improve patients' quality of life and deliver suitable treatment. Healthcare workers may be able to watch patients from a distance using the Internet of Things (IoT) by using big data algorithms to analyze instrument outputs. Therefore, it is essential to gather information on use and health problems in order to improve the remedies. To ensure seamless incorporation for use in healthcare institutions, senior communities, or private homes, these technological tools must first and foremost be easy to use and implement. We provide a network cluster-based system known as smart patient room usage in order to achieve this. As a result, nursing staff or caretakers can use it efficiently and swiftly. This work focuses on the exterior unit that makes up a network cluster, a cloud storage mechanism for data processing and storage, as well as a wireless or unique radio frequency send module for data transfer. In this article, a spatio-temporal cluster mapping system is presented and described. This system creates time series data using sense data collected from various clusters. The suggested method is the ideal tool to use in a variety of circumstances to improve medical and healthcare services. The suggested model's ability to anticipate moving behavior with high precision is its most important feature. The time series graphic displays a regular light movement that continued almost the entire night. The last 12 h' lowest and highest moving duration numbers were roughly 40% and 50%, respectively. When there is little movement, the model assumes a normal posture. Particularly, the moving duration ranges from 7% to 14%, with an average of 7.0%.

Evaluation of the Accuracy of Contactless Consumer Sleep-Tracking Devices Application in Human Experiment: A Systematic Review and Meta-Analysis.

Compared with the gold standard, polysomnography (PSG), and silver standard, actigraphy, contactless consumer sleep-tracking devices (CCSTDs) are more advantageous for implementing large-sample and long-period experiments in the field and out of the laboratory due to their low price, convenience, and unobtrusiveness. This review aimed to examine the effectiveness of CCSTDs application in human experiments. A systematic review and meta-analysis (PRISMA) of their performance in monitoring sleep parameters were conducted (PROSPERO: CRD42022342378). PubMed, EMBASE, Cochrane CENTRALE, and Web of Science were searched, and 26 articles were qualified for systematic review, of which 22 provided quantitative data for meta-analysis. The findings show that CCSTDs had a better accuracy in the experimental group of healthy participants who wore mattress-based devices with piezoelectric sensors. CCSTDs' performance in distinguishing waking from sleeping epochs is as good as that of actigraphy. Moreover, CCSTDs provide data on sleep stages that are not available when actigraphy is used. Therefore, CCSTDs could be an effective alternative tool to PSG and actigraphy in human experiments.