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Sensors (Basel, Switzerland) Jun 2024This study aimed to address the challenges encountered in traditional bulk wave delamination detection methods characterized by low detection efficiency. Additionally,...
This study aimed to address the challenges encountered in traditional bulk wave delamination detection methods characterized by low detection efficiency. Additionally, the limitations of guided wave delamination detection methods were addressed, particularly those utilizing reflected waves, which are susceptible to edge reflections, thus complicating effective defect extraction. Leveraging the full waveform inversion algorithm, an innovative approach was established for detecting delamination defects in multi-layered structures using ultrasonic guided wave arrays. First, finite element modeling was employed to simulate guided wave data acquisition by a circular array within an aluminum-epoxy bilayer structure with embedded delamination defects. Subsequently, the full waveform inversion algorithm was applied to reconstruct both regular and irregular delamination defects. Analysis results indicated the efficacy of the proposed approach in accurately identifying delamination defects of varying shapes. Furthermore, an experimental platform for guided wave delamination defect detection was established, and experiments were conducted on a steel-cement bilayer structure containing an irregular delamination defect. The experimental results validated the exceptional imaging precision of our proposed technique for identifying delamination defects in multi-layered boards. In summary, the proposed method can accurately determine both the positions and sizes of defects with higher detection efficiency than traditional pulse-echo delamination detection methods.
PubMed: 38931799
DOI: 10.3390/s24124017 -
Diagnostics (Basel, Switzerland) Jun 2024Chronic heart disease (CHD) is a widespread and persistent health challenge that demands immediate attention. Early detection and accurate diagnosis are essential for...
Chronic heart disease (CHD) is a widespread and persistent health challenge that demands immediate attention. Early detection and accurate diagnosis are essential for effective treatment and management of this condition. To overcome this difficulty, we created a state-of-the-art IoT-Based Ambulatory Blood Pressure Monitoring System that provides real-time blood pressure readings, systolic, diastolic, and pulse rates at predefined intervals. This unique technology comes with a module that forecasts CHD's early warning score. Various machine learning algorithms employed comprise Naïve Bayes, K-Nearest Neighbors (K-NN), random forest, decision tree, and Support Vector Machine (SVM). Using Naïve Bayes, the proposed model has achieved an impressive 99.44% accuracy in predicting blood pressure, a vital aspect of real-time intensive care for CHD. This IoT-based ambulatory blood pressure monitoring (IABPM) system will provide some advancement in the field of healthcare. The system overcomes the limitations of earlier BP monitoring devices, significantly reduces healthcare costs, and efficiently detects irregularities in chronic heart diseases. By implementing this system, we can take a significant step forward in improving patient outcomes and reducing the global burden of CHD. The system's advanced features provide an accurate and reliable diagnosis that is essential for treating and managing CHD. Overall, this IoT-based ambulatory blood pressure monitoring system is an important tool for the early identification and treatment of CHD in the field of healthcare.
PubMed: 38928712
DOI: 10.3390/diagnostics14121297 -
Biomedical Journal Jun 2024The high prevalence of desynchronized biological rhythms is becoming a primary public health concern. We assess complex and diverse inter-modulations among...
BACKGROUND
The high prevalence of desynchronized biological rhythms is becoming a primary public health concern. We assess complex and diverse inter-modulations among multi-frequency rhythms present in blood pressure (BP) and heart rate (HR).
SUBJECTS
and Methods: We performed 7-day/24-hour Ambulatory BP Monitoring in 220 (133 women) residents (23 to 74 years) of a rural Japanese town in Kochi Prefecture under everyday life conditions.
RESULTS
A symphony of biological clocks contributes to the preservation of a synchronized circadian system. (1) Citizens with an average 12.02-h period had fewer vascular variability disorders than those with shorter (11.37-h) or longer (12.88-h) periods (P<0.05), suggesting that the circasemidian rhythm is potentially important for human health. (2) An appropriate BP-HR coupling promoted healthier circadian profiles than a phase-advanced BP: lower 7-day nighttime SBP (106.8 vs. 112.9 mmHg, P=0.0469), deeper nocturnal SBP dip (20.5% vs. 16.8%, P=0.0101), and less frequent incidence of masked non-dipping (0.53 vs. 0.86, P=0.0378), identifying the night as an important time window.
CONCLUSION
Adaptation to irregular schedules in everyday life occurs unconsciously at night, probably initiated from the brain default mode network, in coordination with the biological clock system, including a reinforced about 12-hour clock, as "a biological clock-guided core integration system".
PubMed: 38906327
DOI: 10.1016/j.bj.2024.100753 -
Cancers May 2024This study aimed to predict stress in patients using artificial intelligence (AI) from biological signals and verify the effect of stress on respiratory irregularity. We...
This study aimed to predict stress in patients using artificial intelligence (AI) from biological signals and verify the effect of stress on respiratory irregularity. We measured 123 cases in 41 patients and calculated stress scores with seven stress-related features derived from heart-rate variability. The distribution and trends of stress scores across the treatment period were analyzed. Before-treatment information was used to predict the stress features during treatment. AI models included both non-pretrained (decision tree, random forest, support vector machine, long short-term memory (LSTM), and transformer) and pretrained (ChatGPT) models. Performance was evaluated using 10-fold cross-validation, exact match ratio, accuracy, recall, precision, and F1 score. Respiratory irregularities were calculated in phase and amplitude and analyzed for correlation with stress score. Over 90% of the patients experienced stress during radiation therapy. LSTM and prompt engineering GPT4.0 had the highest accuracy (feature classification, LSTM: 0.703, GPT4.0: 0.659; stress classification, LSTM: 0.846, GPT4.0: 0.769). A 10% increase in stress score was associated with a 0.286 higher phase irregularity ( < 0.025). Our research pioneers the use of AI and biological signals for stress prediction in patients undergoing radiation therapy, potentially identifying those needing psychological support and suggesting methods to improve radiotherapy effectiveness through stress management.
PubMed: 38893087
DOI: 10.3390/cancers16111964 -
Reviews on Environmental Health Jun 2024The fifth generation, 5G, for wireless communication is currently deployed in Sweden since 2019/2020, as well as in many other countries. We have previously published... (Review)
Review
The fifth generation, 5G, for wireless communication is currently deployed in Sweden since 2019/2020, as well as in many other countries. We have previously published seven case reports that include a total of 16 persons aged between 4 and 83 years that developed the microwave syndrome within short time after being exposed to 5G base stations close to their dwellings. In all cases high radiofrequency (RF) radiation from 4G/5G was measured with a broadband meter. RF radiation reached >2,500,000 to >3,180,000 μW/m in peak maximum value in three of the studies. In total 41 different health issues were assessed for each person graded 0 (no complaint) to 10 (worst symptoms). Most prevalent and severe were sleeping difficultly (insomnia, waking night time, early wake-up), headache, fatique, irritability, concentration problems, loss of immediate memory, emotional distress, depression tendency, anxiety/panic, dysesthesia (unusual touched based sensations), burning and lancinating skin, cardiovascular symptoms (transitory high or irregular pulse), dyspnea, and pain in muscles and joints. Balance disorder and tinnitus were less prevalent. All these symptoms are included in the microwave syndrome. In most cases the symptoms declined and disappeared within a short time period after the studied persons had moved to a place with no 5G. These case histories are classical examples of provocation studies. They reinforce the urgency to inhibit the deployment of 5G until more safety studies have been performed.
PubMed: 38889394
DOI: 10.1515/reveh-2024-0017 -
The American Journal of Medicine Jun 2024Validated syncope risk scores were aimed to predict a cardiac etiology and are mainly used in the decision of hospital admission. Whether these scores could also predict...
INTRODUCTION
Validated syncope risk scores were aimed to predict a cardiac etiology and are mainly used in the decision of hospital admission. Whether these scores could also predict the outcomes of inpatient cardiac evaluation is unknown and was the aim of our study.
METHODS
An observational study including consecutive patients admitted for syncope evaluation. All patients completed prolonged ECG monitoring and an echocardiography before discharge. The area under the receiver operating curve (AUC) was used to evaluate the ability of validated risk scores to predict positive inpatient findings. Subsequently, a multivariate regression was performed to identify independent predictors for positive cardiac evaluation, which were then incorporated into the best predictive risk scores.
RESULTS
397 patients were included, 56 (14%) with a positive inpatient cardiac evaluation. The Osservatorio Epidemiologico sulla Sincope Lazio (OESIL) and Canadian Syncope Risk Score (CSRS) achieved the largest AUC (0.701, 95% CI 0.63-0.77 and 0.694, 95% CI 0.62-0.77, respectively). Yet, all scores provided relatively high sensitivity with low specificity. Multivariate regression revealed age ≥75 (adjusted OR 3.50, 95% CI 1.5-7.9) and abnormal cardiac auscultation (AOR 4.79, 95% CI 2.5-9.1) to be independent predictors. Incorporating these factors led to a significantly higher prediction ability of the OESIL (AUC of 0.787, p<0.01) and CSRS (AUC 0.778, p<0.01) modified scores.
CONCLUSION
Current syncope risk scores provide limited prediction ability for the outcomes of inpatient cardiac syncope work-up. One should specifically consider at age > 75 and either cardiac murmur of irregular heart rate on examination very significant in implying a cardiac etiology for syncope. While these factors may be obvious, current risk scores can be interpreted in such a fashion that ignores the importance of findings extracted from a good history and physical examination.
PubMed: 38871205
DOI: 10.1016/j.amjmed.2024.05.035 -
Journal of Obstetrics and Gynaecology... Jun 2024Up to 80% of women of reproductive age are thought to experience premenstrual stress, which is characterised by physical, psychological, and behavioural changes. Yoga... (Review)
Review
OBJECTIVE
Up to 80% of women of reproductive age are thought to experience premenstrual stress, which is characterised by physical, psychological, and behavioural changes. Yoga activity lowers harmful inflammatory secretions that provide comfort for premenstrual syndrome (PMS) sufferers.
DATA SOURCES
The following worldwide databases were searched for this systematic review: Scopus, PubMed, Cochrane Library, PEDro, and Google Scholar from inception to August 2022.
STUDY SELECTION
A PICOS framework (Population, Intervention, Comparison, Outcome, and Study Design) was used for searching. Population included those with premenstrual syndrome or premenstrual tension syndromes, intervention included yoga therapy, comparator was with control group, and outcome measures included blood pressure (SBP, DBP) and heart rate (HR).
DATA EXTRACTION AND SYNTHESIS
To evaluate the study, we employed the Methodological Index for Randomised Controlled Trials. Fixed effects meta-analysis and qualitative synthesis were conducted. A total of 14 studies out of 224 were included. The main outcome measures included in this review were SBP, DBP, HR, and Moos Menstrual Distress Questionnaire (MMDQ). For the meta-analysis, 7 studies were considered. 3 studies contributed data of SBP (mean difference (MD) = -0.30; 95% CI: -2.29 to 1.69; heterogenicity (I) = 96%; P = 0.00001) and DBP (MD = -0.25; 95% CI: -0.99 to 0.49; I = 79%; P = 0.009). HR results from 4 studies were included (MD = 0.08; 95% CI: -0.83 to 0.99; I = 89%; P = 0.00001). 3 studies contributed data of MMDQ (MD = 1.50; 95% CI: 0.91 to 2.10; I = 92%; P = 0.00001.
CONCLUSION
Yoga can help people with both medical and psychological conditions including menstrual pain, irregular periods, stress, tension, and anxiety. It has been shown to lessen women's emotional, behavioural, and physical PMS symptoms, which has enhanced their quality of life.
OBJECTIF
Jusqu'à 80 % des femmes en âge de procréer connaîtraient un syndrome prémenstruel (SPM), qui se caractérise par des changements physiques, psychologiques et comportementaux. Les activités de yoga réduisent les sécrétions inflammatoires nocives et soulagent les symptômes du syndrome prémenstruel. SOURCE DES DONNéES: Pour cette revue systématique, des recherches ont été effectuées dans les bases de données mondiales Scopus, PubMed, Cochrane Library, PEDro et Google Scholar pour la période allant de leur création au mois d'août 2022. SéLECTION DES éTUDES: Une méthode PICOS (population, intervention, comparaison, résultat et conception de l'étude) a été utilisée pour la recherche. La population à l'étude incluait les personnes souffrant du syndrome prémenstruel ou d'une tension prémenstruelle, l'intervention incluait la thérapie par le yoga, le comparateur était le groupe témoin, et les critères de jugement comprenaient la pression artérielle (systolique et diastolique) et la fréquence cardiaque. EXTRACTION DES DONNéES ET SYNTHèSE: Pour évaluer l'étude, nous avons utilisé l'indice méthodologique pour les essais cliniques randomisés. Une méta-analyse à effet fixe et une synthèse qualitative ont été réalisées. Au total, 14 des 224 études relevées ont été retenues. Les critères de jugement principaux de cette revue étaient les pressions artérielles systolique et diastolique, la fréquence cardiaque et le questionnaire de détresse menstruelle de Moos. Dans la méta-analyse, 7 études ont été prises en compte. Au total, 3 études avaient des données sur la pression systolique (différence moyenne [DM] = -0,30; IC à 95 % : -2,29 à 1,69; hétérogénéité [I] = 96 %; P = 0,00001) et la pression diastolique (DM = -0,25; IC à 95 % : -0,99 à 0,49; I = 79 %; P = 0,009). Les données de fréquence cardiaque de 4 études ont été incluses (DM = 0,08; IC à 95 % : -0,83 à 0,99; I = 89 %; P = 0,00001). Des données du questionnaire de Moos étaient disponibles pour 3 études (DM = 1,50; IC à 95 % : 0,91 à 2,10; I = 92 %; P = 0,00001).
CONCLUSION
Le yoga peut aider les personnes souffrant de troubles médicaux ou psychologiques, notamment les douleurs menstruelles, les menstruations irrégulières, le stress, les tensions et l'anxiété. Les données montrent que le yoga atténue les symptômes émotionnels, comportementaux et physiques du syndrome prémenstruel chez les femmes, ce qui améliore leur qualité de vie.
PubMed: 38871120
DOI: 10.1016/j.jogc.2024.102579 -
Heliyon Jun 2024Horses participating in endurance events encounter enormous physical challenges. Heart rate (HR) and heart rate variability (HRV) have been reported before and after...
Horses participating in endurance events encounter enormous physical challenges. Heart rate (HR) and heart rate variability (HRV) have been reported before and after endurance rides, but these have not been determined during the rides. Moreover, the modulation in HRV and haematology in horses with different ride results (completed a course or disqualified due to irregular gait) have not been elucidated. Therefore, this study aimed to investigate changes in HR, HRV, and haematological parameters during novice endurance rides and to compare these parameters between horses that successfully completed the course (SC) or were disqualified for irregular gait (FTQ-GA). Beat-to-beat (RR) intervals of 16 healthy horses (aged 6-14 years) were recorded before and throughout the approximately 40 km endurance event. Blood samples were taken at the pre-ride inspection and after passing each veterinary inspection. HRV and haematology measures were determined from nine SC and seven FTQ-GA horses. Horses with different ride results demonstrated distinctive physiological stress responses. Increases in PCV, RBC, WBC and neutrophils after completing the ride were found only in SC horses, implying that they were ridden with greater effort than FTQ-GA horses. A reduction in HRV during warm-up, followed by a significant reduction during the first and second riding phases, was observed. HRV returned to baseline at the compulsory rest period of both phases. FTQ-GA horses experienced lower RR intervals, RR triangular index, modified deceleration capacity, very-low-frequency band, and parasympathetic nervous system index, coinciding with higher HR and sympathetic nervous system and stress indices than SC horses. These results indicated that endurance horses revealed a shift toward sympathetic activity during the ride. Lower parasympathetic activity in FTQ-GA horses suggests they were under more stress or discomfort than SC horses in novice endurance rides. These results have welfare implications, indicating the need for additional rest breaks in FTQ-GA horses.
PubMed: 38845925
DOI: 10.1016/j.heliyon.2024.e31874 -
Annals of Biomedical Engineering Jun 2024Extravehicular activities will play a crucial role in lunar exploration on upcoming Artemis missions and may involve astronauts operating a lunar terrain vehicle (LTV)...
Extravehicular activities will play a crucial role in lunar exploration on upcoming Artemis missions and may involve astronauts operating a lunar terrain vehicle (LTV) in a standing posture. This study assessed kinematic response and injury risks using an active muscle human body model (HBM) restrained in an upright posture on the LTV by simulating dynamic acceleration pulses related to lunar surface irregularities. Linear accelerations and rotational displacements of 5 lunar obstacles (3 craters; 2 rocks) over 5 slope inclinations were applied across 25 simulations. All body injury metrics were below NASA's injury tolerance limits, but compressive forces were highest in the lumbar (250-550N lumbar, tolerance: 5300N) and lower extremity (190-700N tibia, tolerance: 1350N) regions. There was a strong association between the magnitudes of body injury metrics and LTV resultant linear acceleration (ρ = 0.70-0.81). There was substantial upper body motion, with maximum forward excursion reaching 375 mm for the head and 260 mm for the chest. Our findings suggest driving a lunar rover in an upright posture for these scenarios is a low severity impact presenting low body injury risks. Injury metrics increased along the load path, from the lower body (highest metrics) to the upper body (lowest metrics). While upper body injury metrics were low, increased body motion could potentially pose a risk of injury from flail and occupant interaction with the surrounding vehicle, suit, and restraint hardware.
PubMed: 38836980
DOI: 10.1007/s10439-024-03543-8 -
Journal of Neural Engineering Jun 2024. Therapeutic brain stimulation is conventionally delivered using constant-frequency stimulation pulses. Several recent clinical studies have explored how unconventional...
. Therapeutic brain stimulation is conventionally delivered using constant-frequency stimulation pulses. Several recent clinical studies have explored how unconventional and irregular temporal stimulation patterns could enable better therapy. However, it is challenging to understand which irregular patterns are most effective for different therapeutic applications given the massively high-dimensional parameter space.. Here we applied many irregular stimulation patterns in a single neural circuit to demonstrate how they can enable new dimensions of neural control compared to conventional stimulation, to guide future exploration of novel stimulation patterns in translational settings. We optogenetically excited the septohippocampal circuit with constant-frequency, nested pulse, sinusoidal, and randomized stimulation waveforms, systematically varying their amplitude and frequency parameters.We first found equal entrainment of hippocampal oscillations: all waveforms provided similar gamma-power increase, whereas no parameters increased theta-band power above baseline (despite the mechanistic role of the medial septum in driving hippocampal theta oscillations). We then compared each of the effects of each waveform on high-dimensional multi-band activity states using dimensionality reduction methods. Strikingly, we found that conventional stimulation drove predominantly 'artificial' (different from behavioral activity) effects, whereas all irregular waveforms induced activity patterns that more closely resembled behavioral activity.. Our findings suggest that irregular stimulation patterns are not useful when the desired mechanism is to suppress or enhance a single frequency band. However, novel stimulation patterns may provide the greatest benefit for neural control applications where entraining a particular mixture of bands (e.g. if they are associated with different symptoms) or behaviorally-relevant activity is desired.
Topics: Optogenetics; Hippocampus; Animals; Theta Rhythm; Male
PubMed: 38834054
DOI: 10.1088/1741-2552/ad5407