The impact of forced awakening on morning blood pressure surge.

BACKGROUND: Poor sleep quality can cause an increase in morning blood pressure surge (MBPS), an independent risk factor of cardiovascular disease (CVD) events. Awakening induced by external factors such as alarm clocks, may also contribute to increased MBPS. OBJECTIVES: To (1) compare the MBPS and sleep quality parameters between natural and forced awakenings and (2) examine the potential impact of forced awakening on MBPS, independent of sleep quality. METHODS: Thirty-two healthy adults participated in this pilot study, which included one night of natural awakening and one night of forced awakening (i.e., sleep was interrupted by an alarm after five hours). Objective and self-reported sleep quality parameters were measured using a multisensory wristband and sleep diaries, respectively, and beat-to-beat blood pressure variability was assessed using a continuous blood pressure monitor. Analyses included a paired t-test (objective 1) and linear mixed models (objective 2). RESULTS: Participants predominantly consisted of young, healthy, and highly educated Asian adults. During the night of sleep with forced awakening, significantly higher MBPS, lower objective wakefulness after sleep onset, and lower self-reported sleep latency were observed, compared to the night with natural awakening. Forced awakening was significantly associated with increased MBPS after controlling for age, sex, mean arterial pressure, and sleep quality. CONCLUSIONS: Forced awakening may significantly increase MBPS, consequently heightening the risk of CVD events. Study findings should be validated in a larger sample. Further research is also warranted to examine the impact of forced awakening on MBPS in individuals with CVD.

Automatic measurement of departing times in smartphone alerting systems: A pilot study.

Aim: Smartphone alerting systems (SAS) alert volunteers in close vicinity of suspected out-of-hospital cardiac arrest. Some systems use sophisticated algorithms to select those who will probably arrive first. Precise estimation of departing times and travel times may help to further improve algorithms. We developed a global positioning system (GPS) based method for automatic measurements of departing times. The aim of this pilot study was to evaluate feasibility and precision of the method. Methods: Region of Lifesavers alerting app (iOS/ Android, version 3.0, FirstAED ApS, Denmark) was used in this study. 27 experiments were performed with 9 students, who were instructed to stay in their flats during the study days. A geofence was set for each alarm in the alerting system with a radius of 10 m (8 cases), 15 m (10 cases), and 20 m (9 cases) around the GPS position at which the alarm was accepted in the app. The system logged responders as being departed when the smartphone position was registered outside the geofence. The students were instructed to manually start a stopwatch at the time of the alert and to stop the stopwatch once they had entered the street in front of their flat. Results: The median difference between automatically and manually retrieved times were -16 seconds [interquartile range IQR 50 seconds] (geofence 10 m), 30 seconds [IQR 25 seconds] (15 m), and 20 seconds [IQR 13 seconds] (20 m), respectively. The 20 m geofence was associated with the smallest interquartile range. Conclusion: Departing times of volunteer responders in SAS can be retrieved automatically using GPS and a geofence.

Forecasting algorithms in the ICU.

Despite significant advances in modeling methods and access to large datasets, there are very few real-time forecasting systems deployed in highly monitored environment such as the intensive care unit. Forecasting models may be developed as classification, regression or time-to-event tasks; each could be using a variety of machine learning algorithms. An accurate and useful forecasting systems include several components beyond a forecasting model, and its performance is assessed using end-user-centered metrics. Several barriers to implementation and acceptance persist and clinicians will play an active role in the successful deployment of this promising technology.

Two-dimensional Aluminum Oxide Nanosheets Decorated with Palladium Oxide Nanodots for Highly Stable and Selective Hydrogen Sensing.

Hydrogen (H2 ) sensing materials such as semiconductor metal oxides may suffer from poor long-term stability against humidity and unsatisfactory selectivity against other interfering gases. To address the above issues, highly stable and selective H2 sensing built with palladium oxide nanodots decorating aluminum oxide nanosheets (PdO NDs//Al2 O3 NSs) has been achieved via combined template synthesis, photochemical deposition, and oxidation. Typically, the PdO NDs//Al2 O3 NSs are observed with thin NSs (≈17 nm thick) decorated with nanodots (≈3.3 nm in diameter). Beneficially, the sensor prototypes built with PdO NDs//Al2 O3 NSs show excellent long-term stability for 278 days, high selectivity against interfering gases, and outstanding stability against humidity at 300 °C. Remarkably, the sensor prototypes enable detection of a wide-range of 20 ppm - 6 V/V% H2 , and the response and recovery times are ≈5 and 16 s to 1 V/V% H2 , respectively. Theoretically, the heterojunctions of PdO NDs-Al2 O3 NSs with a large specific surface ratio and Al2 O3 NSs as the support exhibit excellent stability and selective H2 sensing. Practically, a sensing device integrated with the PdO NDs//Al2 O3 NSs sensor prototype is simulated for detecting H2 with reliable sensing response.

Heat-Resistant and Color-Changing Luminescent Polysulfone for Information Encryption and Fire Alarming.

An intrinsic difficulty with thermally responsive photoluminescent materials is that high temperatures usually destroy luminance due to the notorious thermal quenching effect. Limited by the vulnerable chemical structure and soft skeleton, most of the existing photoluminescent responsive materials fail to indicate or work at a surging temperature over 100 °C, thus limiting application in display and alarming in harsh conditions. Herein, enlightened by chameleon's adaptive nature to external stimulus, we introduce a topologically optimized electron donor-acceptor (DA) structure and supramolecular interactions of lanthanide ions into the polymer backbone. The emission color determined by the DA structure is stable at high temperatures, and metal-ligand interaction phosphorescence is temperature-adjustable. Owing to the excellent reproducibility and heat resistance of composite films, the sensors can be bent into different three-dimensional structures and adhered to metal surfaces as flexible thermometers with superior display resolution. The polymer composite film could be directly applied as a photoluminescent quick response (QR) code, with patterns simultaneously variable to a temperature from 30 to 150 °C free of manual operation. More importantly, the polymeric composite could be in-situ-oxidized to a "sulfone" structure with an enhanced glass transition temperature of 297-304 °C. The heat- and flame-resistant characteristics of the oxidized films give rise to the application of fire alarming devices since it can locate the fire source and respond exactly depending on the distance from the fire. The unique display, encryption, and alarming functions of the polymeric composite studied in this work bring forward a new concept of developing a great information security and disaster monitoring system with the application of temperature-responsive materials.

Multifunctional bio-films based on silk nanofibres/peach gum polysaccharide for highly sensitive temperature, flame, and water detection.

Given their environment friendliness, light weight, and availability, bio-films have attracted wide interest for various applications in sensor materials. However, obtaining sensors with good environmental stability, excellent flame retardancy, and high wet strength remains a challenge. Herein, we prepared sensitive water, temperature and flame-responsive multi-function bio-films (named as PSCG bio-films) by combining peach gum polysaccharide, silk nanofibres, citric acid, and graphene. The PSCG bio-films demonstrated good flexibility, rapid and consistent water absorption, and stable wet strength at different temperatures. The bio-films showed excellent water sensitivity and rapid fire responsiveness within a short time frame (2 s); moreover, the response and recovery times of the bio-films in the temperature range of 50-150 °C were 0.1 and 0.3 s, respectively. In addition, the bio-films can be applied to micro-sized fire early warning devices and personalized breath monitoring. Our work presents a facile and green approach (without toxic solvent) to fabricate multi-function sensors with applications in various industries.

Intelligent Soft Sweat Sensors for the Simultaneous Healthcare Monitoring and Safety Warning.

Intelligent monitoring human physiological information in real time raises the demand for skin-integrated electronics, as which is a flexible format and can be mounted onto the curved human skin for noninvasive healthcare monitoring. The biofluid such as sweat from skin contains abundant biomarkers reflecting body health conditions. Here, a skin-integrated sweat monitor with six biosensors embedded for the detection of NH4 + , Na+ , glucose, pH, skin impedance, and surface temperature is described, which could decode the information in the fresh sweat generated during exercising. Furthermore, the system also includes an innovative safety warning mechanism, which is based on a miniaturized actuator to provide mechanical stimuli, and coupled with six changeable colors light emitting diodes corresponding to the six biosensors for providing simultaneous safety alarming to users. The self-developed microfluidics system with a hydrophilic surface allows to enhance the sweat collection rate. Meanwhile, microfluidic filters can reduce the interruption of skin debris during biosignal monitoring. These state-of-art biosensors can real-time monitor health related signals with excellent linearity and specificity. The skin-integrated sweat monitor system exhibits a great potential in human healthcare monitoring and medical treatment.

Multilayered Helical Spherical Triboelectric Nanogenerator with Charge Shuttling for Water Wave Energy Harvesting.

As an important part of natural resources, islands support the marine economy and build a blue barrier for marine ecological civilization. However, the power supply on these islands is difficult, limiting the development of marine internet of things (IoTs). In order to break the status quo, this work applies triboelectric nanogenerators (TENGs) to island power supply and ecological monitoring. A spherical TENG with two multilayered helical units is designed to harvest water wave energy, in which the space utilization rate reaches 92.5%. Then a charge shuttling mechanism is developed to improve the electrical output. The output current and power of a single TENG without power management reach 200.3 µA and 16.2 mW respectively, corresponding to a peak power density of 23.2 W m-3 . Moreover, a scheme of the power managed TENG is proposed for realizing large-scale wave energy harvesting. The TENG is demonstrated to successfully power a water quality detector, a Bluetooth thermo-hygrometer, and an intelligent wireless alarm system for remote environmental monitoring. This work not only proposes a new type of TENG for water wave energy harvesting with improved performance, but also provides a new strategy for intelligent ocean IoTs, which even contributes to the carbon neutralization.

A Breathable Knitted Fabric-Based Smart System with Enhanced Superhydrophobicity for Drowning Alarming.

Wearable strain sensors have aroused increasing interest in human motion monitoring, even for the detection of small physiological signals such as joint movement and pulse. Stable monitoring of underwater human motion for a long time is still a notable challenge, as electronic devices can lose their effectiveness in a wet environment. In this study, a superhydrophobic and conductive knitted polyester fabric-based strain sensor was fabricated via dip coating of graphene oxide and polydimethylsiloxane micro/nanoparticles. The water contact angle of the obtained sample was 156°, which was retained above 150° under deformation (stretched to twice the original length or bent to 80°). Additionally, the sample exhibited satisfactory mechanical stability in terms of superhydrophobicity and conductivity after 300 abrasion cycles and 20 accelerated washing cycles. In terms of sensing performance, the strain sensor showed a rapid and obvious response to different deformations such as water vibration, underwater finger bending, and droplet shock. With the good combination of superhydrophobicity and conductivity, as well as the wearability and stretchability of the knitted polyester fabric, this wireless strain sensor connected with Bluetooth can allow for the remote monitoring of water sports, e.g., swimming, and can raise an alert under drowning conditions.

Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems.

The measurement of air quality parameters for indoor environments is of increasing importance to provide sufficient safety conditions for workers, especially in places including dangerous chemicals and materials such as laboratories, factories, and industrial locations. Indoor air quality index (IAQ-index) and total volatile organic Compounds (TVOC) are two important parameters to measure air impurities or air pollution. Both parameters are widely used in gases sensing applications. In this paper, the IAQ-index and TVOCs have been investigated to identify the best and most flexible solution for air quality threshold selection of hazardous/toxic gases detection and alarming systems. The TVOCs from the SGP30 gas sensor and the IAQ-index from the SGP40 gas sensor were tested with 12 different organic solvents. The two gas sensors are combined with an IoT-based microcontroller for data acquisition and data transfer to an IoT-cloud for further processing, storing, and monitoring purposes. Extensive tests of both sensors were carried out to determine the minimum detectable volume depending on the distance between the sensor node and the leakage source. The test scenarios included static tests in a classical chemical hood, as well as tests with a mobile robot in an automated sample preparation laboratory with different positions.

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations.

The leakage of hazardous gases and chemical vapors is considered one of the dangerous accidents that can occur in laboratories, workshops, warehouses, and industrial sites that use or store these substances. The early detection and alarming of hazardous gases and volatile chemicals are significant to keep the safety conditions for the people and life forms who are work in and live around these places. In this paper, we investigate the available mobile detection and alarming systems for toxic, hazardous gases and volatile chemicals, especially in the laboratory environment. We included papers from January 2010 to August 2021 which may have the newest used sensors technologies and system components. We identified (236) papers from Clarivate Web of Science (WoS), IEEE, ACM Library, Scopus, and PubMed. Paper selection has been done based on a fast screening of the title and abstract, then a full-text reading was applied to filter the selected papers that resulted in (42) eligible papers. The main goal of this work is to discuss the available mobile hazardous gas detection and alarming systems based on several technical details such as the used gas detection technology (simple element, integrated, smart, etc.), sensor manufacturing technology (catalytic bead, MEMS, MOX, etc.) the sensor specifications (warm-up time, lifetime, response time, precision, etc.), processor type (microprocessor, microcontroller, PLC, etc.), and type of the used communication technology (Bluetooth/BLE, Wi-Fi/RF, ZigBee/XBee, LoRa, etc.). In this review, attention will be focused on the improvement of the detection and alarming system of hazardous gases with the latest invention in sensors, processors, communication, and battery technologies.

Electro-Blown Spun Silk/Graphene Nanoionotronic Skin for Multifunctional Fire Protection and Alarm.

Artificial protective skins are widely used in artificial intelligence robots, such as humanoid robots, mobile manipulation robots, and automatic probe robots, but their safety in use, especially flame retardancy, is rarely considered. As many artificial skins are designed for use in flammable or even explosive environments, flammability is a significant concern. Herein, a flame-retardant silk/graphene nanoionotronic (SGNI) skin is developed by using a rationally designed high-throughput electro-blown spinning technique, with a more efficient production efficiency than electrospinning. These flame retardant SGNI skins combine the advantages of nanofibrous and ionotronic materials, and they are sustainable, conductive, highly porous, mechanically robust, highly stretchable, self-adhesive, and humidity- and temperature-sensitive. These merits support the assembly of SGNI skins into a fire alarm system, with real-time alarm (response in 2 s) to mobile phones, clouds, and a central control system. The concept that combines a flame retardant and fire alarm material into an intelligent skin may provide potential solutions toward the design of protective skins for robotics and human-machine interactions.

"I would do something if I could!": experiences and reflections from ethics teachers on how to respond when hearing alarming cases from medical students.

BACKGROUND: Previous studies show that teachers can feel disturbed by alarming cases brought up by students during their teaching activities. Teachers may feel uncertain about how to deal with these cases, as they might feel responsible to take action to prevent further harm. This study aims to explore how ethics teachers in medical schools would respond to a student report of unethical or unprofessional behaviour during the clinical training phase (clerkship) that is alarming and potentially harmful for patients or students themselves. METHODS: This study used qualitative methods with purposive sampling. We conducted in-depth interviews with 17 teachers from 10 medical schools in Indonesia. We asked if they had heard any alarming and harmful cases from students and provided two cases as examples. RESULTS: Four teachers shared their own cases, which they perceived as disturbing and alarming. The cases included power abuse, fraud and deception, violation of patient's rights and autonomy, and sexual harassment. Regarding teachers' responses in general, we found three main themes: (1) being assertive, (2) being careful, (3) barriers and facilitators. Most teachers were convinced of the need to take action despite numerous barriers, which they identified, leading to doubts and concerns in taking action. Our study shows that formal education in ethics might not necessarily influence how teachers respond to alarming cases, and that their responses are mainly influenced by how they perceive their role and responsibility as teachers. CONCLUSIONS: Our study suggests that teachers should carefully consider the risks and consequences before taking action upon alarming cases to prevent further harm, and that support from higher authorities might be crucial, especially in the Indonesian context. Our study also shows that taking action as a group might be appropriate in certain cases, while personal approaches might be more appropriate in other cases. Most importantly, school leaders and administrators should develop effective organisational culture and support students and teachers for their ethical responsibility commitment.

[Retrospective cohort study on the coagulation characteristics of adult patients with extensively severe burn in shock stage and its alarming value].

Objective: To study the coagulation characteristics of adult patients with extensively severe burn in shock stage and its alarming value. Methods: Retrospective cohort study was performed on medical records of 37 adult patients with extensively severe burn who were admitted to the First Affiliated Hospital of Naval Medical University from January 2014 to December 2019 and met the inclusion criteria. The patients were divided into survival group (n=23, 17 males and 6 females, aged 41 (31, 51) years) and death group (n=14, 11 males and 3 females, aged 50 (43, 58) years) according to the prognosis of within 60 d after burn. Basic data of patients in the two groups and their routine coagulation indexes during shock period including prothrombin time (PT), thrombin time, activated partial thromboplastin time (APTT), D-Dimer, fibrinogen degradation product (FDP), fibrinogen, platelet, and international normalized ratio (INR) were recorded. Data were statistically analyzed with Wilcoxon rank sum test and Fisher's exact probability test, prognosis-related factors was analyzed with single factor and multivariate logistic regression analysis (α selected=0.05, α excluded=0.1), and receiver operating characteristic (ROC) curve analysis were established to screen out the risk factors. All the patients were grouped into high score group and low score group according to the optimal threshold value, Kaplan-Meier method was used for survival analysis and Log-rank test was performed between the two groups. Results: Total burn surface area (TBSA) of patients in death group was obviously larger than that in survival group (Z=2.980, P<0.01), while there were no statistically significant difference in the other indexes between the two groups (P>0.05). Compared with those in survival group (16.10 (14.30, 16.90) s, 40.80 (36.20, 42.80) s, 1.30 (1.10, 1.40)), PT (18.70 (16.30, 22.70) s), APTT (46.45 (41.00, 57.10) s) and INR (1.55 (1.30, 1.96)) of patients in death group were significantly increased (Z=2.540, 2.330, 2.300, P<0.05), there were no statistically significant difference in the other indexes between the two groups (P>0.05). Single factor logistic regression analysis showed TBSA, PT, and APTT were factors related to death of adult patients with extensively severe burn within 60 d after burn (odds ratio (OR)=1.190, 1.214, 1.109, 95% confidence interval (CI)=1.053-1.346, 1.008-1.461, 1.012-1.215, P<0.05 or P<0.01). FDP and INR were potential factors related to death of adult patients with extensively severe burn within 60 d after burn (OR=1.040 and 4.559, 95% CI =0.998-1.083 and 0.918-22.641, P<0.1). Multivariate logistic stepwise regression was used to build models of APTT+ FDP+ TBSA and APTT+ FDP. Area under the curve (AUC) of APTT+ FDP+ TBSA model score was 0.944 (95% CI= 0.873-1.000), which was higher than AUC of APTT+ FDP model score (0.843, 95% CI=0.713-0.973) by ROC curve analysis. Optimal threshold value of APTT+ FDP+ TBSA model score was -0.879 4 with sensitivity of 100% (95% CI=100%-100%) and specificity of 87% (95% CI=74%-100%). Survival ratio of patients in high score group with optimal threshold value higher than -0.879 4 was significantly lower than that in low score group with optimal threshold value lower than -0.879 4, χ(2)=27.090, P<0.01. Conclusions: The coagulation state of adult patients with extensively severe burn in shock stage is characterized with procoagulant and hemostatic dysfunctions accompanied by enhanced fibrinolytic activity. The risk of death is significantly increased in adult patients with extensively severe burn with APTT+ FDP+ TBSA model score higher than -0.879 4.

The distribution of refraction by age and gender in a non-myopic Chinese children population aged 6-12 years.

BACKGROUND: The Prevalence of myopia is increasing in China. This study aimed to explore the distribution of spherical equivalent (SE) and its association with age, body mass index (BMI), gender in a non-myopic Chinese children population aged 6 to 12 years. METHODS: A total of 6362 students were recruited for ophthalmological investigation. Demographic and myopia related behavioral information was collected. SE value was measured by the Topcon RM-8900 or KR-800autorefractors. Potential independent risk factors were determined with Odds Ratio (OR) and 95% Confidence Interval (CI) by logistic regression analysis. We further constructed the nomogram model to predict future onset of myopia. RESULTS: Among the study population, 3900 (61.3%) were non-myopic. The prevalence of myopia is 38.0% for boys and 39.5% for girls. The average SE values were 0.50 ± 0.70 D for boys and 0.60 ± 0.80 D for girls. The mean SE values decreased with age, and the value of height and BMI took on a stable trend. Threshold values for myopia varied across age groups and gender. Paternal myopia (OR: 1.22, 95%CI: 1.01-1.48), near-work activities on weekends (2.56, 1.17-5.61), and outdoor activities (0.68, 0.54-0.86) were associated with potential myopic in students. CONCLUSION: A series of age-gender based SE threshold values were established to predict myopia in Chinese children aged 6 to 12 years. High risk factors for myopia included paternal myopia, near-work activities on weekends, and outdoor activities. Countermeasures are encouraged to reverse the increasing trend of myopia in children.

Retweets of officials' alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management.

Coronavirus related discussions have spiraled at an exponential rate since its initial outbreak. By the end of May, more than 6 million people were diagnosed with this infection. Twitter witnessed an outpouring of anxious tweets through messages associated with the spread of the virus. Government and health officials replied to the troubling tweets, reassuring the public with regular alerts on the virus's progress and information to defend against the virus. We observe that social media users are worried about Covid 19-related crisis and we identify three separate conversations on virus contagion, prevention, and the economy. We analyze the tone of officials' tweet text as alarming and reassuring and capture the response of Twitter users to official communications. Such studies can provide insights to health officials and government agencies for crisis management, specifically regarding communicating emergency information to the public via social media for establishing reassurance.

Self-Powered and Green Ionic-Type Thermoelectric Paper Chips for Early Fire Alarming.

Early fire alarming is of vital importance to lower the damages led by forest fires. Thus far, methods to monitor the forest fires at their early stage are mainly focused on artificial ground patrol, unmanned aerial vehicle cruise monitoring, observation by watchtower, or satellite inspection, whereas these methods are practically encountered with the problems of untimely feedback before the forest fires are out of control. This work proposes a particular kind of self-powered, low-cost, and green thermoelectric paper chips based on the principle of self-assembly and disassembly of ionic liquids on the surface of gold electrodes. By adjustment of the species of ionic liquids, both "n- and p-type" thermoelectric behaviors have been exploited that correspond to the opposite open-circuit voltages. Owing to the fluidic nature of ionic liquids, those "n- and p-type" thermoelectric units can be readily connected in series on one paper chip, leading to remarkable voltage signals in the presence of the temperature difference of 35 K. Followed by signal acquisition and transmission, such a thermoelectric paper chip successfully affords immediate electrical alarming at the early stage of an afire circumstance.

The alarming outbreaks of dengue in Nepal.

Dengue is a mosquito-borne viral infection. Since the first reported incidence in 2004, several sporadic outbreaks of dengue have been recorded from both tropical and subtropical regions of Nepal, including the capital city Kathmandu. However, in the last 5 years, the incidence of dengue cases has risen alarmingly. The largest-ever outbreak was reported in 2019, which killed six people. The global warming, unplanned urbanization, increased transportation, and lack of efficient mosquito control are presumably associated with the spread of dengue and its vector to the plane and hilly regions of this country. With the ongoing Nepalese government campaign "Visit Nepal Year 2020" to attract two million tourists in mind, effective dengue control measures must be implemented to control potential future outbreaks.

[Vision on and use of physical restraints and 'smart technology' in nursing homes in Flanders]. / Fysieke fixatie en slimme technologie in Vlaamse woonzorgcentra: Resultaten van een surveybevraging bij zorg- en beleidspersoneel over visie en gebruik.

AIM: The STAFF-project investigates in what way 'smart technology' can offer an alternative for physical restraints in nursing homes. A survey is realized aimed at gaining more insight into the vision on and the use of physical restraints and 'smart technology'. METHOD: Two partly overlapping structured questionnaires were developed and sent to nursing home staff in Flanders (Belgium). One hundred fifty six administrators (managers or assistant-managers) and 238 caregiving staff (nurses, nursing aids, paramedical staff and other) completed the online questionnaire. RESULTS: In general there is a low acceptability of physical restraint use, however, a more nuanced picture of acceptability is present depending on the specific motivation for using physical restraints and on the specific means of physical restraints. About half of the administrators say they use smart technology in the nursing home. The two main reasons for not applying (yet) smart technology are 'too high price for smart technology' and 'inadequate infrastructure of the nursing home'. All respondents underscore the importance of multiple strategies to diminish the use of physical restraints in nursing homes. CONCLUSION: Physical restraint use is a complex theme and needs a nuanced analysis and management. This study shows that there is still room for improvement in diminishing the use of physical restraints and that nursing homes in Flanders are open to use smart technology.

[Alarming system in real time and high quality display using volumerendering for otologic surgical navigation: a preclinical study].

Objective:The aim of this study is to design and develop a novel navigation framework that alarms the surgeon with sound during drilling and dynamically renders the high quality medical image data. Method:The accuracy of the proposed system were measured with a skull model using paired point registration and the target registration error (TRE) was computed. We segmented the accurate structure of target and compute the minimum distance between the drill tip and the target. Once the drill tip approached the target structures, the system would alarm the surgeon. We proposed a novelty method that used a mask to render the medical image data in real time. Result:The maximum distance error of 90 target points was 1.016 mm, the minimum was 0.427 mm, and the average distance error was (0.74±0.07) mm. The design and development of the alarming system and dynamically rendering the medical image data of navigation system was accomplished. Conclusion:The results show that the accuracy of the navigation system can meet the clinical needs. It also demonstrates the feasibility of the alarm system and dynamic display system and its application prospects.