ABSTRACT
This review article aims to explore the major challenges that the healthcare system is currently facing and propose a new paradigm shift that harnesses the potential of wearable devices and novel theoretical frameworks on health and disease. Lifestyle-induced diseases currently account for a significant portion of all healthcare spending, with this proportion projected to increase with population aging. Wearable devices have emerged as a key technology for implementing large-scale healthcare systems focused on disease prevention and management. Advancements in miniaturized sensors, system integration, the Internet of Things, artificial intelligence, 5G, and other technologies have enabled wearable devices to perform high-quality measurements comparable to medical devices. Through various physical, chemical, and biological sensors, wearable devices can continuously monitor physiological status information in a non-invasive or minimally invasive way, including electrocardiography, electroencephalography, respiration, blood oxygen, blood pressure, blood glucose, activity, and more. Furthermore, by combining concepts and methods from complex systems and nonlinear dynamics, we developed a novel theory of continuous dynamic physiological signal analysis-dynamical complexity. The results of dynamic signal analyses can provide crucial information for disease prevention, diagnosis, treatment, and management. Wearable devices can also serve as an important bridge connecting doctors and patients by tracking, storing, and sharing patient data with medical institutions, enabling remote or real-time health assessments of patients, and providing a basis for precision medicine and personalized treatment. Wearable devices have a promising future in the healthcare field and will be an important driving force for the transformation of the healthcare system, while also improving the health experience for individuals.
Subject(s)
Humans , Artificial Intelligence , Wearable Electronic Devices , Monitoring, Physiologic/methodsABSTRACT
To achieve continuously physiological monitoring on hospital inpatients, a ubiquitous and wearable physiological monitoring system SensEcho was developed. The whole system consists of three parts: a wearable physiological monitoring unit, a wireless network and communication unit and a central monitoring system. The wearable physiological monitoring unit is an elastic shirt with respiratory inductive plethysmography sensor and textile electrocardiogram (ECG) electrodes embedded in, to collect physiological signals of ECG, respiration and posture/activity continuously and ubiquitously. The wireless network and communication unit is based on WiFi networking technology to transmit data from each physiological monitoring unit to the central monitoring system. A protocol of multiple data re-transmission and data integrity verification was implemented to reduce packet dropouts during the wireless communication. The central monitoring system displays data collected by the wearable system from each inpatient and monitors the status of each patient. An architecture of data server and algorithm server was established, supporting further data mining and analysis for big medical data. The performance of the whole system was validated. Three kinds of tests were conducted: validation of physiological monitoring algorithms, reliability of the monitoring system on volunteers, and reliability of data transmission. The results show that the whole system can achieve good performance in both physiological monitoring and wireless data transmission. The application of this system in clinical settings has the potential to establish a new model for individualized hospital inpatients monitoring, and provide more precision medicine to the patients with information derived from the continuously collected physiological parameters.
ABSTRACT
Objective This study aimed to understand the continuous physiological parameters during sleep under the guidance of Chinese medical theory and clinical practice and to establish the method to diagnose the physical and mental status by analyzing nocturnal sleep data.Methods More than 2000 subjects were recruited in the nocturnal sleep examination using the micro-movement sensitive mattress sleep monitoring system.Based on the analysis of the sleep indices and nocturnal physiological parameters combined with clinical data,a hypothesis was put forward that sleep cycle could reflect the circulation status of qi and blood,as well as some preliminary exploration on revealing the status of qi,blood,yin and yang.Results Sleep structure could reflect the status of qi and blood circulation in different meridians according to the traditional Chinese time unit.Sleep structure and sleep cycle could show corresponding changes if there is morbidity in some meridian,zang-viscera and fu-viscera.Heart rate,respiration rate and other physiological parameters could reflect the alternative predominance of yin and yang.Conclusion Interpreting the physiological parameters during sleep could be a supplementary diagnosis method for Chinese medicine syndrome differentiation.
ABSTRACT
Pain in the cervical region of air force pilots, who are exposed to high G-forces, is a specifically occupational health problem. To minimize neck problems, the cervical muscles need specific strength exercise. It is important that the training for the neck must be carried out with optimal resistance in exercises. The model NSE-1 neck training machine for pilots was designed for neck strengthening exercises under safe and effective conditions. In order to realize the functions of changeable velocity and resistant (CVR) training and neck isometric contractive exercises, the techniques of adaptive hydraulics, sensor, optic and auditory biological feedback, and signal processing were applied to this machine. The training system mainly consists of mechanical parts (including the chair of flexion and extension, the chair of right and left lateral flexion, the components of hydraulics and torque transformer, etc.), and the software of signal processing and biological feedback. Eleven volunteers were selected for the experiments of neck isometric contractive exercises, three times a week for 6 weeks, where CVR training (flexion, extension, right, left lateral flexion) one time a week. The increase in relative strength of the neck (flexion, extension, left and right lateral flexion) was 70.8%, 83.7%, 78.6% and 75.2%, respectively after training. Results show that the strength of the neck can be increased safely, effectively and rapidly with NSE-1 neck training machine to perform neck training.
Subject(s)
Humans , Aerospace Medicine , Aircraft , Equipment Design , Exercise , Physiology , Military Personnel , Neck Muscles , Wounds and Injuries , Physiology , Neck Pain , Physical Education and Training , PostureABSTRACT
The wearable respiratory inductive plethysmograph(RIP) system is a non-intrusive respiratory monitoring system. Sleep monitoring was performed on 9 human subjects suspected of having sleep apnea hypersomnolence syndrome (SAHS) and 7 healthy volunteers using both the wearable RIP system and the conventional polysomnography(PSG), and the sensitivity and specificity of the wearable RIP system were analyzed by comparison with the PSG results. According to the characteristic of the wearable RIP system in detecting sleep apnea/hypopnea event, the diagnostic criteria of sleep apnea/hypopnea event were put forward. All subjects with SAHS diagnosed by the wearable RIP were confirmed by PSG,the sensitivity and specificity of the wearable RIP system for detecting sleep apnea/hypopnea events were 99.0% and 94.6% respectively. The wearable RIP system can be used reliably in detecting sleep apnea/hypopnea events. This system can be used at home for detecting the sleep apnea/hypopnea events non-intrusively.
Subject(s)
Humans , Equipment Design , Plethysmography , Methods , Polysomnography , Methods , Sleep Apnea Syndromes , DiagnosisABSTRACT
BACKGROUND:In some clinical applications or special work conditions,extremely intonse 50 Hz AC intefference exists.As the amplifier's output reaches or is close to saturation,it cannot be suppressed by general anti-interference circuits or software algorithms.Themfore,the hardware circuit must be impreved to suppress this interference,thus obtajning the desired signals.OBJECTIVE:To introduce a biopotential amplifier,which can effectively suppress the impact of 50 Hz AC interference on the weak biomedical signals.DESIGN:Create a circuit model based on the advanced theoretical analysis,then make software emulation and finally design the actual circuit implementation.SETTINGS:the 305 Hospital of Chinese PLA:Institute of Aviation Medicine,Air Force of CIIinese PLA.MATERIALS:The experimentaIinstruments and analytical software were provided by the Institute of Aviation Medicine,Air Force of Chinese PLA:the high-voltage electrical field environment was provided by the 305 Hospital of Chinese PLA.METHODS:The first step was theoretical analysis at the Institute of Aviation Medicine,Air Force of Chinese PLA in 2005,then the 50 Hz anti-reference model was created.After that,the following three anti-reference measures were put forward:①Enhancing the common-mode input impedance of the overall circuit to remove the interference caused by the imbalance electrode impedance;②reducing the equivalent common mode input impedance of the instrument amplifier in the circuit by using a current source controlled by the comlnou mode voltage;③using the driven-right-leg circuit to reduce the common mode voltage.Moreover,emulation analysis was made for the above circuit model by using the circuit emulation software TINA PRO.Through ceaseless improvement of the circuit model,the correct emulation results were obtained.In 2006,the Circuit model helped us realize the electrocardiogram(ECG)amplifier that could suppress the 50 Hz AC intefference effectively in intense interference environments.And that amplifier was put into practical use in the high-voltage electrical field environment produced by the high-voltage electrical field treatment equipment in the 305 Hospital of PLA.The result was satisfying:the 50 Hz AC interference was suppressed effectively and the high-quality ECG signals were obtained.MlAIN OUTCOME MEASURES:Common-Mode Rejection Ratio(CMRR)and the frequency spectrum of signals obtained in intense intefference environment,which are used to assess the ability against the 50 Hz AC interference.RESULTS:A 100 ù resistor or a 200 kù resistor were connected in series in the input loop so as to produce the imbalance electrode impedance status.When the imbalalice electrode impedance was 100 ù,the amplifier output was 1.69 Mv,and CMRR was 125.8 Db.When the imbalance electrode impedance was 200 k ù,the amplifier output was 1.78 Mv,and CMRR was 125.3 Db.Two voltage sources(20 Hz,amplitude of peak to peak value 50 ì V,opposite phases)were used to produce differential mode signals.The amplification gain was 1000 times.In the input loop of the circtilt mentioned above,a 200 kù resistor was connected in series to create the inabalance electrode impedance status.The amplifter output the peak-to-peak value 50 Mv.The fast Fourier transform(FFT)frequency spectrum of the output wave contained no 50 Hz spectrum line.CONCLUSION:Through the emulation experiment and the real application.we can all find that the amplifier has good signal amplification performance and anti-interference capabillty in intensive 50 Hz AC interference environments and severe imbalance electrode impedance Status.
ABSTRACT
@#Objective To explore the effect of obstructive sleep apnea-hypopnoea syndrome(OSAHS)on coronary heart disease in the elder.Methods 27 aged coronary heart disease patients were selected and divided into non-OSAHS,OSAHS groups according sleep apnea-hypopnoea index(AHI).Their age,body mass index,the incidence of myocardial infarction,heart failure,arrhythmia were compared.Results There were significantly higher incidences of heart failure,arrhythmia in OSAHS group than in non-OSAHS group,as well as body mass index.Conclusion OSAHS may aggravate the coronary heart disease in elderly patients.
ABSTRACT
Driver fatigue/drowsiness is one of the important causes of serious traffic accidents and results in so many people deaths or injuries, but also substantial directly and indirectly economic expenses. Therefore, many countries make great effort on how to detect drowsiness during driving. In this paper, we introduce the recent developments of driver fatigue/drowsiness detection technology of world wide and try to classify the existing methods into several kinds according to different features measured, and analyzed. Finally, the challenges faced to fatigue/drowsiness detection technology and the development trend are presented.
Subject(s)
Humans , Accidents, Traffic , Automobile Driving , Electroencephalography , Methods , Mental Fatigue , Diagnosis , Models, Theoretical , Sleep Stages , Task Performance and AnalysisABSTRACT
Objective To design a wearable physiological monitoring system for acquiring and monitor-ing vital signs non-intrusively and concurrently.Methods All bio-sensors were embedded in an elastic shirt for detecting physiological parameters with wearable technology.A patented respiratory inductive plethysmography technology was used to measure respiratory function,two sensors were woven into the jerkin around the patient's chest and abdomen.A three-lead,single channel ECG measures heart rate,and a three-axis accelerometer records posture and activity level.An NTC thermometer embedded in the shirt measures the body temperature.Results An elastic jerkin with embedded sensors that collect and continuously monitor respiration,cardiac,temperature,posture and activity signals was fabricated.Conclusion This wearable physiological monitoring system can record multiple parameters non-intrusively and concurrently.It can act as an useful platform for further researches.
ABSTRACT
Objective To develop an image analyzing procedure for automatic localization of facial features on infrared images.Methods An unsupervised local and global features extraction method was adopted for the localization of facial features of frontal view face image.First,a threshold was used to segment the image into foreground and background,and the nose was localized by considering the symmetry of the face.Second,Harris operator was adopted to detect interest points in a rectangular area covering all the facial features,and then local maximum of the interest points were detected.And finally,K-means clustering method was used to cluster the points and obtain the facial features localization.Results The experimental result of 100 images demonstrated that the procedure could automatically localize eyes,nose,mouth,and distinguish the feature areas.Conclusion The proposed infrared image analyzing procedure based on Harris operator and K-means clustering can be used to locate facial features on infrared image more rapidly and reliablely.
ABSTRACT
Objective To design a system for monitoring pulse wave transit time (PWTT) in working condition non-intrusively and continuously. Method The system was composed of wireless ECG sensor and wireless pulse wave sensor which measure pulse wave signal from the temporal artery and ECG signal from body synchronously and calculates PWTT continuously. Result Both the wireless ECG sensor and the wireless pulse wave sensor were small sized and powered by button battery. And the accuracy of time synchronization about sensors was less than 1 ms. The calculated PWTT changed slowly with deep breathing. Conclusion The system works smoothly for continuous monitoring of PWTT in working condition.
ABSTRACT
Objective To develop a new type of respiratory inductive plethysmograph to achieve high signal-noise rate(SNR)and low system power cost,and also to eliminate the cross-talk between chest and abdominal band sensors.Method Either of the two bands was powered by a very high power oscillator in a very short time,and these two bands were switched on in turn.The sensor structure of the respiratory inductive plethysmograph was modified so that these two bands could be embeded in a shirt conveniently.Result With these new designs,the cross-talk between these two bands was greatly eliminated and high SNR and low system power cost were achieved.This new wearable respiration monitoring system is easy to use,and can be used for long time and ambulatory monitoring.Conclusion This new system meets the design requirement with excellent performance.With this new wearable respiration monitoring system,non-invasive measurement of ventilation and non-intrusive detection of sleep apnea event can be achieved.
ABSTRACT
In this study we made full use of the heart rate spectrum analysis to obtain the character parameters of heart rate variability related to EEG sleep phase information, and then we discarded the correlation between characteristics by employing Principal Component Analysis. Finally, by means of the decision tree based on Fisher rules, we established two full automatic models for identifying healthy people and sleep apnea hypopnea syndroma (SAHS) patients respectively. The result of experiments indicates that the model is accurate and robust.
Subject(s)
Female , Humans , Male , Decision Trees , Electrocardiography , Electroencephalography , Heart Rate , Physiology , Models, Biological , Polysomnography , Signal Processing, Computer-Assisted , Sleep , Physiology , Sleep Apnea Syndromes , Sleep StagesABSTRACT
Objective To extract breathing pattern parameters during sleep and get the varying law of NREM and REM sleep stages. Method A newly designed respiratory inductive plethysmography (RIP) and a polysomnography (PSG) are utilized to record whole-night-sleep data simultaneously. The breathing pattern parameters obtained by RIP are dealt with according to the results of sleep stages and sleep apnea by PSG. Then the rule found out and summarized from the experiment is applied to distinguish REM sleep. Conclusion RC/VT can be used as an effective parameter to differentiate NREM and REM sleep. Using this parameter, the results of RIP totally accord with the results of PSG.
ABSTRACT
Objective To develop a portable sleep monitoring system with low burden. Methods Information from signals related with sleep were used and dug. Electrodes from patients' body were reduced to decrease patient's physiological and psychological burden. Results Polysomnography(PSG) is the gold standard in detecting the Sleep Apnea Hypopnea Syndrome disease at present. While this method has its problems, such as complicated operation, large expenditure and big physiology and psychology burden for the patient. A sleep monitor system was introduced which has the advantages of convenience, practicality, small physiology and psychology burden for the patient. Conclusion The result indicates that this device is warmly welcomed by doctors and patients, and it is a new device for the diagnosis of the SAHS disease.
ABSTRACT
Objective To design a wireless monitoring system which can obtain patients' multi-parameters (such as ECG, respiratory, blood pressure, SPO2, and heart rate). Methods The wireless communication system, based on CDMA, receives data through internet and analyses ECG by dealing and measuring signals. Results A wireless monitoring system is designed, which can analyse ECG, blood pressure, and respiratory. Doctors can give diagnostic suggestion based on the monitoring system's analyses and send it to patients by short messages. Conclusion This system can realize long -distance medical monitoring and report the diagnosis to patients timely.
ABSTRACT
<p><b>OBJECTIVE</b>The purpose of this study was to compare the difference of craniofacial morphology between oral and nasal breathing children, and discover the relationship between respiratory mode and craniofacial morphology.</p><p><b>METHODS</b>Using the system for the simultaneous measurement of oral and nasal respiration, 34 oral breathing children and 34 nasal breathing children aged from 11 to 14 years were selected.</p><p><b>RESULTS</b>Compared with the nasal-breathing children, the oral-breathing children showed apparently vertical growth pattern. The mandibuler plane Angle of oral breathing children is 39.3, which is significant greater than that of nasal breathing children (P < 0.01). The jans, the oral-breathing children had shorter mandibular body, larger gonion angle, retrusive chin and face (P < 0.05). On the other hand, in the sagittal direction, the oral breathing children may display all kinds of skeletal facial types. There is no significant difference between the two groups.</p><p><b>CONCLUSIONS</b>Oral breathing is one of the factors related to the vertical over-development.</p>
Subject(s)
Adolescent , Child , Female , Humans , Male , Craniofacial Abnormalities , Diagnostic Imaging , Facial Bones , Diagnostic Imaging , Mandible , Diagnostic Imaging , Mouth Breathing , Diagnostic Imaging , Nose , Radiography , Respiration , Respiratory Function Tests , Skull , Diagnostic Imaging , Statistics as TopicABSTRACT
The health status of officers and men of PLA plays an important role in fighting capacity. This article analyzed the close relationship between modern high tech war and the health status of officers and men of PLA and emphasized the necessity of monitoring the health status of officers and men and elucidated its main content, such as basic vitalreference monitoring under low physiological-psychological load conditions;establishment of health information telecommunication network ;data min ing and fusion ,and information storage The health status information of officers and men of PLA can be obtained in nature condition through means of technologies,which will advantage maintaining health status of officers and men of PLA and security of military training
ABSTRACT
砄bjective: To study the relationship between respiratiory mode and dental occlusion. Methods: UI SN, LI MP, UI LI, OB, OJ and M1～M2 were measured with cephalometric technic in 34 oral breathing children and 34 nasal breathing children (aged 11～14 years) . Results: UI LT and OB in the children with oral breathing were smaller than those in the children with nasal breathing( P 0.05). Conclusion: The children with oral breathing may have smaller oberbite and more proclined dental arch.
ABSTRACT
Objective:To compare the morphology of dental arch and base bone between oral breathing and nasal breathing children.Methods: A simultaneous measurement system was applied to test oral and nasal respiration.34 oral breathing children and 34 nasal breathing children aged 11 to 14 years old were selected.The parameters of the morphology of dental arch a nd base bone were measured on the record models.Results:① The oral breathing children showed higher palatal vault,and narrower maxillary b ase bone.The configurations of maxillary base bone were comparatively narrower a nd longer.②The oral breathing children's medial and posterior parts of arches o f maxilla were longer,and the configurations of maxillary arch were comparativel y narrower and longer.The configurations of mandible posterior arch were compara tively narrower and longer too.Conclusion:Oral breathing m ay lead to morphological changes in dental arch and base bone in children.