Application Of Intelligent Filming Equipment In Medical Health Monitoring

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European Review for Medical and Pharmacological Sciences2022; 26: 5660-5666Application of intelligent filming equipmentin medical health monitoringS.-Q. LI1,2, H.-Y. LI3Academy of Art and Design, Shaoyang University, Shaoyang, Hunan, ChinaSchool of Art and Design, Hubei University of Technology, Hubei, China3Department of Food and Chemical Engineering, Shaoyang University, Shaoyang, Hunan, China12Abstract. – OBJECTIVE: With the progress oftechnology, a variety of video shooting equipment appeared in people’s vision. The improvement of video shooting performance and thedecrease in production cost have not only lowered the production threshold, but also greatlyfacilitated people’s daily life. Especially in thefield of medical health monitoring, video shooting plays an increasingly important role. Thispaper summarizes the application of intelligentfilming equipment in medical health monitoringunder this background.MATERIALS AND METHODS: The intelligentfilming equipment used in medical health monitoring is mainly applicable to patients who donot find it convenient to use contact shootingequipment, as well as patients with cardiovascular diseases and health detection and rehabilitation guidance for human knee joints. In thiscontext, this paper uses literature survey methods and interdisciplinary research methods.RESULTS: We conclude that the measurement results of health monitoring devices obtained by using intelligent filming devices canonly be used as a reference for medical personnel in further diagnosis, failing to reach theaccuracy of direct medical diagnosis.CONCLUSIONS: The research of intelligentfilming equipment in the field of medical healthmonitoring still needs continuous improvement.The monitoring results should be more stableand eventually industrialized, to solve the currentproblems in medical health monitoring. This willultimately help to protect people’s health.Key Words:Intelligent filming, Medicine, Health, Monitoring.IntroductionWith the advent of cloud platforms and theInternet of Things (IoT) era, intelligent medical treatment has been developed by leaps andbounds. The emergence of various intelligentshooting devices has not only brought a new vi5660sual experience, but also caused a change in theway of shooting, mainly in the increasing numberof people using cell phones to shoot1. Althoughthe shooting performance of cell phones is notas good as professional SLR cameras, they canalready meet daily needs. Due to their portability and intelligence, cell phones have surpassedDSLR cameras as the best choice for photography. Nowadays, there are many works that usecell phones to shoot short videos and generategreat repercussions, and these creators are nolonger just professional photography agenciesand film industry practitioners, units, and enterprises. Individuals are becoming more and moreinvolved. Filming video work is no longer thepreserve of professionals. With the enhancementof cell phone hardware and software capabilities,the use of cell phones to shoot a variety of difficult shots has become possible. Intelligent mobileshooting arm is generally applied to the field ofbroadcasting and television, which can replacepeople to complete some difficult shooting work,such as natural disaster scene shooting. It lookslike a mechanical arm, which also means that itis designed to imitate the human hand and arm anintelligent device. Intelligent mobile shooting armcan complete some of the shooting needs to moveback and forth left and right. In addition, the device can not only monitor the operation of theconsole to avoid obstacles, but its operability alsohas greater flexibility and fewer constraints. Sincethe device can be connected to a cell phone, it canbe controlled and received by a cell phone. In2018, the first domestic intelligent mobile filmingsystem “Yika” was unveiled at the Beijing, ChinaInternational Radio, Film and Television Exhibition, as shown in Figure 1. With the increasingdemand for video programs, traditional filmingmethods need to be combined with intelligentfilming methods to optimize the form and contentof programs and save manpower and productionresources. News, interviews, and shopping videosCorresponding Author: Siqi Li, MFA; e-mail: 23780729@163.com

Medical filming equipmentFigure 1. “Yika” system shooting display.are usually shot indoors; in addition, the intelligent filming methods used outdoors are also applicable to sports events capable of shooting sportsimages of “electric rabbits” and “flying cats”, referring to the high-speed track tracking camerasystem and ropeway camera system. Robot camera system refers to the programming and othertechnical means to complete the remote controlof the studio camera, such as vertical, horizontal,angular movement, speed, and acceleration of thecamera. In recent years, breakthroughs in newtechnologies for aerial photography have led to itsrapid development. People have lightened the gyroscope stabilizer used for aerial photography andmade it into a handheld stabilizer, which worksvery well. The gyro stabilizer uses internal motor operation and gyroscope calibration to workwith the photographer to complete the balance ofthe camera. The gyroscope uses artificial intelligence AI algorithms to keep the camera stable inthe horizontal axis, directional axis and pitch axisduring shooting in three axes to overcome pictureshaking. The anti-shake performance remains excellent even when shooting in strenuous motionscenes. The operation method is very simple. Using this handheld stabilizer, the phone can be keptlevel while running, jumping, upside down, tilting, rotating and other strenuous movements. Inaddition, due to the development of technology,the handheld stabilizer also has a built-in function inside to upload the shooting video or usethe quick template to shoot video, which greatlyimproves the efficiency of video production andupload. The AR glasses used in the news reportcan turn the scene seen into a live feed, causingan immersive feeling2.Cell phone shooting, intelligent mobile shooting arm, studio intelligent shooting technology,handheld stabilization technology, drone aerialphotography technology, and AR glasses embodyincreasingly mature intelligent shooting technology. Lowering the shooting threshold will also enable more and more people to participate in videoshooting3. Currently, with changes in lifestyle andwork, the ultimate result of an aging populationis a decline in immune system function and anincrease in the incidence of osteoporosis and spinal lesions. The high incidence of cardiovasculardisease, high mortality rate and high recurrencerate, along with the difficulties in accessing medical care, low hospital efficiency and unbalancedmedical resources, make the intelligence andhomeliness of health monitoring products oneof the factors to be considered in product design. Non-contact monitoring can monitor one’sown health status anytime and anywhere and is asuitable monitoring mean for home health monitoring, as well as a method that does not changelife habits, with a simple process, little pain andlow cost. However, the key to realizing non-contact medical health monitoring is the accuracy ofmedical information; just like solving a mathematical problem, if the basic formula of the solution is wrong, then the final solution of the wholeproblem is also wrong. So how to collect humanbiological information in a comprehensive, con5661

S.-Q. Li, H.-Y. Livenient and accurate way is the key to ensuringthe realization of intelligent medical treatment.The imaging equipment is the most important aspect of the data collection method for non-contactmedical health monitoring devices. The camerabecomes the main imaging equipment, and its parameters will image the quality of the capturedvideo. This paper aims to explore the application of intelligent filming equipment in medicalhealth monitoring, using the literature surveymethod and interdisciplinary research methods,and concludes that the application of intelligentfilming equipment in the field of medical healthmonitoring still needs to be improved. Stabilityand accuracy of the results will also be improvedat the same time, and the industrialization of theequipment will be realized eventually.Materials and MethodsMedical Health MonitoringMedical photography is an important part ofmodern medicine4. As in medical teaching, photography not only provides rich image materials,but also transmits knowledge more vividly andimaginatively, increasing the amount of information while improving the effectiveness of classroom teaching5. Medical photography is also themost objective and vivid recording method in theprocess of diagnosis and surgical treatment. Suchas preoperative preparation, scheduled surgicalplan, handling of emergencies, and the extent ofpatient recovery after surgery, providing information for the process of surgery and post-operative analysis and research. Medical photographyis also a necessary tool for medical research andcommunication. Medical research provides strongsupporting evidence, especially regarding the morphological structure of organs and tissues. Medicalphotography is also an indispensable foundation formodern medicine, as images are easy to store, lessprone to damage, less expensive to maintain, andeasier to access and transmit. The use of networktransmission also enables the sharing of image dataacross locations and improves the utilization of resources. The remote transmission of image data isa good way to realize remote consultation in different places and guidance by experts in differentplaces. In addition, the rich image data can enrichthe diagnosis report and enhance the visual effect.More noteworthy is that medical photography canprovide evidence for medical disputes arising fromsurgery. Medical photography can truly record the5662surgical process. Whether the surgical process isreasonable, whether there are mistakes in the process, and whether the emergency is handled properly can be truly recorded. Thus, medical photography can handle medical disputes in a fair andobjective manner6.With the rise of the Internet, smart healthcarehas seen unprecedented development, and manyresearch institutes, universities, and companieshave achieved remarkable results in human healthmonitoring in the field of smart healthcare. 2008saw the development of the Health Guide deviceby Intel Corporation (Santa Clara, California,CA, USA) which monitors the physical conditionof patients. Later Intel Corporation cooperatedwith General Electric Company to devote itself totelemedicine research. In December of the sameyear, Intel first proposed the concept of smarthealthcare and provided medical solutions forcustomers with the concept. Cisco of the UnitedStates is dedicated to the research of wireless mobile medical care, which enables wireless medical care. IBM Corporation, Armonk, NY, USA,developed the Continua health Alliance system,which can realize remote monitoring of humanhealth through wireless Bluetooth. The PHMONbody monitoring system developed by KarlsruheInstitute of Technology in Germany can monitor human physiological information anytimeand anywhere and realize the information interaction between the system device and the userthrough Bluetooth. There is also Apple Inc. inCupertino (California, CA, USA) that developeda health monitoring bracelet, which can monitorhuman heart rate, exercise status, sleep conditionthrough Bluetooth transmission to cell phones orthe Internet. Many domestic research institutionshave also made a breakthrough in the field of intelligent medical monitoring. For example, thehealth testing equipment developed by combiningexcellent medical resources through the mediumof Internet of Things and cloud platform can realize the detection of human heart rate informationthrough pulse sensor, circuit and microprocessor,and compare and analyze the monitoring results ofdifferent states and time periods of human body.Wireless communication technology developedby Southern Medical University, Guangzhou,Guangdong Province, China can monitor thequality of sleep and also allows the human pulseto be objectified on a smartphone in the form of awaveform and access the mobile communicationnetwork or the Internet for remote data transmission and sharing via smartphone7.

Medical filming equipmentThe Application of Intelligent FilmingEquipment in Medical Health MonitoringKinect camera-based data acquisitionThe Kinect camera mainly enables the acquisition of data for monitoring the health condition of the human knee. It is a camera devicelaunched by Microsoft in Redmond, Washingtonin 2009, its advantage is that it has a high-definition 2D camera, capable of taking up to 1080phigh-definition pictures. The Kinect camera alsohas an infrared camera function that can detectthe distance between objects, and this functionis not disturbed by the light factor, so it can alsoshoot in dim environments. The Kinect cameraalso has a function that has a sound sensor thatcan accurately recognize the commands of thecontroller. These functions of the Kinect cameracan realize the human-computer interaction innatural scenes, such as online fitting rooms, carshow presentations etc. It can also recognize anobject by the depth generated by the camera andreconstruct a three-dimensional image of thatobject, thus enabling the robot to automatically avoid obstacles. The Kinect camera can alsoperform face recognition on the user, and extractdata from human joint points by collecting data torealize a three-dimensional display of the scene.Li et al8 designed a health monitoring device formonitoring the health condition of human kneejoints, which consists of three modules: data ac-quisition, data processing and result display. Thedesign relies on Kinect camera for data acquisition, through which the health condition of kneejoints can be measured and can be used in manyscenarios such as family, elderly institutions, andcommunity, which can complete the health monitoring and rehabilitation of human knee joints.The overall system diagram of the monitoringsystem is shown in Figure 2.Commercial Cameras or PortableDevice Cameras in Health MonitoringBased on Facial Skin FeaturesHeart rate and respiration rate are importantindicators for measuring a person’s mental andphysiological state. There are two existing measurement methods: one is electrocardiography,and the other is based on remote photoelectricvolumetric pulse wave tracing, also known asrPPG. rPPG is more convenient and promisingbecause it uses a camera to collect signals at agreater distance without contact with the person being monitored and without specializedequipment. The rPPG-based physiological indexmeasurement algorithm mainly uses the colorchange caused by the absorption or reflection ofthe skin in the captured video to infer the changeof blood flow in the human body to obtain thecorresponding physiological index. Due to therapid development of society and the increasingawareness of personal health monitoring, thereFigure 2. Diagram of humanlower limb health monitoringsystem.5663

S.-Q. Li, H.-Y. Liare good prospects developing various intelligent medical devices, such as the change fromcontact to contactless remote diagnosis. Currently, health monitoring based on rPPG technology mainly relies on the video capture function of commercial cameras. Current research hasfound that the rPPG technology health monitoring method based on facial skin features, whichcan be combined with the idea of facial diagnosistechnology in Chinese medicine, can only measure heart rate as well as diagnose heart healthmore accurately, and for youth health is limited toacne identification. In terms of performing heartrate monitoring, a multimodal fusion method ofdifferent regions can also be adopted to extractheart rate signal waveforms for analyzing information such as blood pressure or respiration rate9.Monochrome Camera BasedCardiovascular PhysiologicalParameters Detection SystemCardiovascular diseases are a serious threat tohuman life and health, and the rapid and accuratedetection of cardiovascular diseases is an important approach to preventing and treating cardiovascular diseases. Such as heart rate, respirationrate, blood oxygen saturation and other parameters reflecting cardiovascular physiology are usedto diagnose cardiovascular diseases, but what ismore important is how to measure these cardiovascular parameters accurately and conveniently.The methods currently used in clinical practiceinclude cardiac monitors and oximeters, whichare highly accurate, expensive, and complex tooperate. The most significant feature of theseinstruments is that they require physical contactwith the patient to measure, which is not useful insome cases, such as when the patient has burns.Wieringa et al11 attempted to extract reflectedlight from a monochromatic COMS camera at adistance of 0.7 m from the patient’s arm to calculate heart rate and respiratory rate. In addition,Kong et al12 used natural light and a CCD camera to calculate the heart rate, respiration rate andoxygen saturation parameters of the volunteer’sface. Also, Shao et al13 used a COMS camera tocalculate the blood oxygen saturation of humanfaces under the illumination of LED light source.The results of Fan et al10 show that monochromecameras in combination with imaging photoplethysmography, also known as IPPG technology, arepossible for non-contact prediction of importantcardiovascular parameters such as human heartrate and oxygen saturation.5664Cardiovascular Parameter DetectionSystem Based on Color Cameraand WebcamContact monitoring devices can cause discomfort because they need to be clamped to the surface of the body for long periods of time. The homehealth monitoring device that uses a monochromecamera for monitoring also has the inconvenienceof the arm being photographed all the time for along time when it is used. For better promotion, itis necessary not to fix the shooting position, notto fix the shooting conditions, not fix the shootingdistance, and to adapt to different light, skin colorand other factors. Therefore, in daily life, it is moreconvenient to use cell phones, iPads, webcams,and other video capture devices for data collection.These color cameras have the advantages of highimage resolution, low frame rate, low sensitivityof photosensitive elements, and are suitable forwide use in daily life. Fan et al10 developed a colorcamera-based system for detecting cardiovascularphysiological parameters, and the results showedgood agreement with the results measured by commercial oximeters. In addition, an improved cardiovascular physiological parameter detection system under natural light conditions was developedfor a webcam-based detection system, which wasshown to be effective in improving the accuracyof the IPPG platform for predicting physiologicalparameters and has good prospects for clinical andhome health monitoring applications because theplatform is easy to build.DiscussionThis paper proposes the use of intelligent filming devices in medical monitoring, aiming to explore the use of video and film devices in medicalmonitoring using an interdisciplinary researchapproach. We found that video and audio devicesin medical monitoring are mainly used clinically for cardiovascular, heart rate, respiratory rateand human knee health monitoring, and the mainconcern is whether the image quality is clear. I believe the intelligent development of medical monitoring for video equipment is still insufficient.In fact, the application of smart filming devicesin medical monitoring is not enough. Still, thesenew functions are not used in the medical field,such as the use of intelligent AR live glasses innews reports, can see the scene into a live picture,resulting in the audience “immersive” experience.The use of drone aerial photography technology

Medical filming equipmentgives people a new visual experience, forming anew way of filming change. In this way, the futureof intelligent filming equipment technology willcertainly become more and more mature, also dueto the lowering of the threshold of filming technology will be used by more and more people.However, due to the limitation of time and scientific research conditions, some of the researchwork has deficiencies.(1) When performing health monitoring based onfacial skin features, if the clarity of the deviceis not high enough and not enough data is captured, the accuracy of the results will not be highbecause the captured images are not detailedenough to classify the target. This can be solvedby improving the clarity of the capture device.(2) There is no clinical experience in applying intelligent filming equipment to monitoring human health conditions, and the next step couldbe to conduct more in-depth research on theproblem and design a more complete healthmonitoring system.(3) The next step can be deeper research for themobile device and the transfer of monitoringdata to the Internet, combined with the clinical characteristics of the disease and the cloudplatform, big data analysis and other technologies, adding diagnostic rules to the systemto achieve automatic diagnosis of the disease.Examination data of all family members canalso be saved to the cloud as an important reference for health monitoring. Once there is asignificant change from historical data, it ispossible to remind the person being measuredto seek medical treatment in time.ConclusionsThe filming equipment used for medical healthmonitoring focuses on its intelligence, versatility,and ease of network transmission. Since the qualityof video capture directly images the accuracy ofmonitoring results, there are appropriate requirements for the image resolution, frame rate, and sensitivity of the photosensitive element of the capturedevice. However, the requirements are not verystrong for whether the filming equipment needsto move, whether it needs to shoot a farther scene,whether it needs to control the shaking, or whetherthe filmed video has a high artistic effect. For thedevelopment of these health monitoring devices,there is still a need for continuous improvement tomake the results more stable while strengtheningthe accuracy of the results, increasing the applicable population and environment, and eventually realizing the industrialization of the devices.Conflict of InterestsThe Authors declare that there are no conflicts of interest.AcknowledgmentsI would like to thank my family for their support during thedissertation writing phase and my husband for helping mefind information and some assistance during this period.Informed ConsentObtained.Authors’ ContributionResearch, S. Q. Li; Data collection, S. Q. Li; Writing-originalmanuscript preparation, S. Q. Li and H. Y. Li; Writing-reviewand editing, S. Q. Li and H. Y. Li. All authors have read andagree to the published version of this manuscript.FundingNone.References1) Yang Q, Yang J. Research on the Audio-VisualLanguage of Mobile Short Video Shooting. IntCore J Eng 2021; 7: 175-179.2) Qiang F. Research on Short Video PhotographyTechnology Under the Integration of ComputerEditing in The New Media Era. J Phys Conf Ser2021; 1865: 042031.3) Yamauchi S, Ogata K, Suzuki K, KawashimaT. Development of an Accurate Video ShootingMethod Using Multiple Drones Automatically Flying over Onuma Quasi-National Park. J RobotMechatron 2018; 30: 436-442.4) Siegel DM, Bhatia ND. Medical Photography inthe Age of Smartphone Cameras. J Clin AesthetDermatol 2021; 14: 16-16.5) Barber K. Medical Photography, ParticularlyDermatologic Medical Photography, Is an Art. JCutan Med Surg 2021; 25: 488-489.6) Wang GP. Application of photography in medicine. Mater Infor Record 2016; 17: 49-51.7) Gao PB. Detection of human biological information and application of health monitoring system.Jilin University 2019; 1-3.8) Li H. Research on human health monitoringmethod based on depth camera. North ChinaUniversity of Technology 2019; 8-20.5665

S.-Q. Li, H.-Y. Li9) Wang W. Research on health monitoring methods based on facial skin features. Xihua University 2021; 37-42.10) Fan Q. Research on key techniques of non-contact detection of cardiovascular physiological parameters. Wuhan University 2017; 27-93.11) Wieringa FP, Mastik F, Van der Steen AFW. Contactless multiple wavelength photoplethysmographic imaging: a first step toward “SpO2 camera”technology. Ann Bio-Med Eng 2005; 33: 1034-1041.566612) Kong LQ, Zhao YJ, Dong LQ, Jian YY, Jin XL, LiB, Feng Y, Liu M, Liu XH, Wu H. Non-contact detection of oxygen saturation based on visible lightimaging device using ambient light. Opt Express2013; 21: 17464-17471.13) Shao DD, Liu CB, Tsow F, Yang YT, Du ZJ, RafaelI, Yu H, Tao NJ. Noncontact monitoring of bloodoxygen saturation using camera and dual-wavelength imaging system. IEEE T Bio-Med Eng2015; 63: 1091-1098.

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