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Link to original content: https://api.crossref.org/works/10.3390/JSAN11010019
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,21]],"date-time":"2024-09-21T04:11:55Z","timestamp":1726891915611},"reference-count":92,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,3,11]],"date-time":"2022-03-11T00:00:00Z","timestamp":1646956800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61902203"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"With the outbreak of coronavirus disease-2019 (COVID-19) worldwide, developments in the medical field have aroused concerns within society. As science and technology develop, wearable medical sensors have become the main means of medical data acquisition. To analyze the intelligent development status of wearable medical sensors, the current work classifies and prospects the application status and functions of wireless communication wearable medical sensors, based on human physiological data acquisition in the medical field. By understanding its working principles, data acquisition modes and action modes, the work chiefly analyzes the application of wearable medical sensors in vascular infarction, respiratory intensity, body temperature, blood oxygen concentration, and sleep detection, and reflects the key role of wearable medical sensors in human physiological data acquisition. Further exploration and prospecting are made by investigating the improvement of information security performance of wearable medical sensors, the improvement of biological adaptability and biodegradability of new materials, and the integration of wearable medical sensors and intelligence-assisted rehabilitation. The research expects to provide a reference for the intelligent development of wearable medical sensors and real-time monitoring of human health in the follow-up medical field.<\/jats:p>","DOI":"10.3390\/jsan11010019","type":"journal-article","created":{"date-parts":[[2022,3,11]],"date-time":"2022-03-11T17:58:36Z","timestamp":1647021516000},"page":"19","source":"Crossref","is-referenced-by-count":17,"title":["Wearable Sensors for Vital Signs Measurement: A Survey"],"prefix":"10.3390","volume":"11","author":[{"given":"Zhihan","family":"Lv","sequence":"first","affiliation":[{"name":"Department of Game Design, Faculty of Arts, Uppsala University, SE 75105 Uppsala, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6468-5454","authenticated-orcid":false,"given":"Yuxi","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Qingdao University, Qingdao 266071, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Rehman, A., Mustafa, M., Javaid, N., Qasim, U., and Khan, Z. (2012, January 12\u201314). Analytical Survey of Wearable Sensors. Proceedings of the 2012 Seventh International Conference on Broadband, Wireless Computing, Communication and Applications, Victoria, BC, Canada.","DOI":"10.1109\/BWCCA.2012.73"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TSMCC.2009.2032660","article-title":"A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis","volume":"40","author":"Pantelopoulos","year":"2010","journal-title":"IEEE Trans. Syst. Man Cybern. Part C Appl. Rev."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"5878","DOI":"10.1109\/JSEN.2019.2905010","article-title":"Multi-Core Optical Fibers with Bragg Gratings as Shape Sensor for Flexible Medical Instruments","volume":"19","author":"Khan","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1582","DOI":"10.1016\/j.jacc.2020.01.046","article-title":"Wearable devices for ambulatory car-diac monitoring: JACC state-of-the-art review","volume":"75","author":"Sana","year":"2020","journal-title":"J. Am. Coll. Cardiol."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Pardoel, S., Kofman, J., Nantel, J., and Lemaire, E.D. (2019). Wearable-Sensor-based Detection and Prediction of Freezing of Gait in Parkinson\u2019s Disease: A Review. Sensors, 19.","DOI":"10.3390\/s19235141"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"zsz180","DOI":"10.1093\/sleep\/zsz180","article-title":"Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device","volume":"42","author":"Walch","year":"2019","journal-title":"Sleep"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"130321","DOI":"10.1016\/j.snb.2021.130321","article-title":"YSZ-based acetone sensor using a Cd2SnO4 sensing electrode for exhaled breath detection in medical diagnosis","volume":"345","author":"Jiang","year":"2021","journal-title":"Sens. Actuators B Chem."},{"key":"ref_8","first-page":"80","article-title":"A certificateless aggregate signature scheme for healthcare wireless sensor network","volume":"18","author":"Kumar","year":"2018","journal-title":"Sustain. Comput. Inform. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Boudargham, N., Abdo, J.B., Demerjian, J., and Guyeux, C. (2017, January 10\u201314). Exhaustive study on medical sensors. Proceedings of the International Conference on Sensor Technologies and Applications, Rome, Italy.","DOI":"10.1109\/AICCSA.2016.7945736"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"e100260","DOI":"10.1136\/gpsych-2020-100260","article-title":"Stress and sleep: A survey based on wearable sleep trackers among medical and nursing staff in Wuhan during the COVID-19 pandemic","volume":"33","author":"Zhuo","year":"2020","journal-title":"Gen. Psychiatry"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"53","DOI":"10.3928\/00989134-20170223-01","article-title":"Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting","volume":"43","author":"Razjouyan","year":"2017","journal-title":"J. Gerontol. Nurs."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Jayarathna, T., Gargiulo, G.D., and Breen, P.P. (2020). Continuous Vital Monitoring During Sleep and Light Activity Using Carbon-Black Elastomer Sensors. Sensors, 20.","DOI":"10.3390\/s20061583"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Wang, T.-W., and Lin, S.-F. (2020). Wearable Piezoelectric-Based System for Continuous Beat-to-Beat Blood Pressure Measurement. Sensors, 20.","DOI":"10.3390\/s20030851"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Yun, I., Jeung, J., Kim, M., Kim, Y.-S., and Chung, Y. (2019). Ultra-Low Power Wearable Infant Sleep Position Sensor. Sensors, 20.","DOI":"10.3390\/s20010061"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"101824","DOI":"10.1016\/j.artmed.2020.101824","article-title":"Wearable sensor-based evaluation of psychosocial stress in patients with metabolic syndrome","volume":"104","author":"Akbulut","year":"2020","journal-title":"Artif. Intell. Med."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"015006","DOI":"10.1088\/1361-6579\/ab668f","article-title":"Multimodal remote chest monitoring system with wearable sensors: A validation study in healthy subjects","volume":"41","author":"Frerichs","year":"2019","journal-title":"Physiol. Meas."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1111\/cts.12673","article-title":"Continuous Monitoring Using a Wearable Device Detects Activity-Induced Heart Rate Changes After Administration of Amphetamine","volume":"12","author":"Izmailova","year":"2019","journal-title":"Clin. Transl. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"e30863","DOI":"10.2196\/30863","article-title":"Continuous Monitoring of Vital Signs with Wearable Sensors During Daily Life Activities: Validation Study","volume":"6","author":"Haveman","year":"2022","journal-title":"JMIR Form. Res."},{"key":"ref_19","first-page":"4887","article-title":"A survey on wearable biosensor systems for health monitoring","volume":"2008","author":"Pantelopoulos","year":"2008","journal-title":"Annu. Int. Conf. IEEE Eng. Med. Biol. Soc."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Lv, Z., Tek, A., Da Silva, F., Empereur-Mot, C., Chavent, M., and Baaden, M. (2013). Game On, Science-How Video Game Technology May Help Biologists Tackle Visualization Challenges. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0057990"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Petani, L., Koker, L., Herrmann, J., Hagenmeyer, V., Gengenbach, U., and Pylatiuk, C. (2020). Recent Developments in Ozone Sensor Technology for Medical Applications. Micromachines, 11.","DOI":"10.3390\/mi11060624"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JTEHM.2017.2688458","article-title":"Effectively Measuring Respiratory Flow with Portable Pressure Data Using Back Propagation Neural Network","volume":"6","author":"Fan","year":"2018","journal-title":"IEEE J. Transl. Eng. Healthy Med."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"7391","DOI":"10.1109\/JSEN.2019.2916320","article-title":"Wearable System Based on Flexible FBG for Respiratory and Cardiac Monitoring","volume":"19","author":"Presti","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2807","DOI":"10.1109\/JLT.2018.2883413","article-title":"Noninvasive Measurement of Heart Rate and Respiratory Rate for Perioperative Infants","volume":"37","author":"Zhang","year":"2018","journal-title":"J. Light. Technol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1468","DOI":"10.1021\/acsanm.9b02300","article-title":"Three-Dimensional Tetrapodal ZnO Microstructured Network Based Flexible Surface Acoustic Wave Device for Ultraviolet and Respiration Monitoring Applications","volume":"3","author":"Tao","year":"2020","journal-title":"ACS Appl. Nano. Mater."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"112435","DOI":"10.1016\/j.bios.2020.112435","article-title":"Real-time diagnosis of reactive oxygen species (ROS) in fresh sputum by electrochemical tracing; correlation between COVID-19 and viral-induced ROS in lung\/respiratory epithelium during this pandemic","volume":"165","author":"Miripour","year":"2020","journal-title":"Biosens. Bioelectron."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1606","DOI":"10.1109\/JIOT.2017.2787800","article-title":"A Robust and Energy Efficient Authentication Protocol for Industrial Internet of Things","volume":"5","author":"Li","year":"2017","journal-title":"IEEE Internet Things J."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4160","DOI":"10.1109\/JIOT.2019.2931647","article-title":"A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT","volume":"7","author":"Manogaran","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_29","first-page":"102","article-title":"Surface plasmon based fiber optic refractive index sensor","volume":"28","author":"Selvendran","year":"2021","journal-title":"Indian J. Eng. Mater. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1744","DOI":"10.1021\/acssensors.7b00731","article-title":"UV-Activated MoS2 Based Fast and Reversible NO2 Sensor at Room Temperature","volume":"2","author":"Kumar","year":"2017","journal-title":"ACS Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1016\/j.snb.2017.12.022","article-title":"A high-performance flexible gas sensor based on self-assembled PANI-CeO2 nanocomposite thin film for trace-level NH3 detection at room temperature","volume":"261","author":"Liu","year":"2018","journal-title":"Sens. Actuators B Chem."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1021\/acsnano.9b07874","article-title":"Muscle-Inspired Self-Healing Hydrogels for Strain and Temperature Sensor","volume":"14","author":"Ge","year":"2019","journal-title":"ACS Nano."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Huang, J., Yang, X., Her, S.-C., and Liang, Y.-M. (2019). Carbon Nanotube\/Graphene Nanoplatelet Hybrid Film as a Flexible Multifunctional Sensor. Sensors, 19.","DOI":"10.3390\/s19020317"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.1007\/s10570-019-02951-7","article-title":"Flexible wearable graphene\/alginate composite non-woven fabric temperature sensor with high sensitivity and anti-interference","volume":"27","author":"Wang","year":"2020","journal-title":"Cellulose"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2100116","DOI":"10.1002\/adhm.202100116","article-title":"Flexible Wearable Sensors for Cardiovascular Health Monitoring","volume":"10","author":"Chen","year":"2021","journal-title":"Adv. Healthy Mater."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Davies, H.J., Williams, I., Peters, N.S., and Mandic, D.P. (2020). In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation. Sensors, 20.","DOI":"10.3390\/s20174879"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Pham, S., Yeap, D., Escalera, G., Basu, R., Wu, X., Kenyon, N.J., Hertz-Picciotto, I., Ko, M.J., and Davis, C.E. (2020). Wearable Sensor System to Monitor Physical Activity and the Physiological Effects of Heat Exposure. Sensors, 20.","DOI":"10.3390\/s20030855"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"eaas9530","DOI":"10.1126\/sciadv.aas9530","article-title":"Toward all-day wearable health monitoring: An ultralow-power, reflective organic pulse oximetry sensing patch","volume":"4","author":"Lee","year":"2018","journal-title":"Sci. Adv."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"E11015","DOI":"10.1073\/pnas.1813053115","article-title":"A flexible organic reflectance oximeter array","volume":"115","author":"Khan","year":"2018","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1038\/s41746-019-0136-7","article-title":"The use of photoplethysmography for assessing hypertension","volume":"2","author":"Elgendi","year":"2019","journal-title":"NPJ Digit. Med."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"8","DOI":"10.14295\/bds.2020.v23i1.1805","article-title":"Diagnostic accuracy of dental pulse oximeter with customized sensor holder, thermal test and electric pulp test for the evaluation of pulp vitality: An in vivo study","volume":"23","author":"Janani","year":"2020","journal-title":"Braz. Dent. Sci."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1038\/s41746-019-0207-9","article-title":"Photoplethysmography based atrial fibrillation detection: A review","volume":"3","author":"Pereira","year":"2020","journal-title":"NPJ Digit. Med."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1109\/TBME.2019.2911423","article-title":"Hearables: Automatic Overnight Sleep Monitoring with Standardized In-Ear EEG Sensor","volume":"67","author":"Nakamura","year":"2019","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"14466","DOI":"10.1109\/JSEN.2020.3013435","article-title":"Smart Sleep Monitoring System via Passively Sensing Human Vibration Signals","volume":"21","author":"Li","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"46131","DOI":"10.1109\/ACCESS.2020.2978391","article-title":"Wearable Multi-Biosignal Analysis Integrated Interface with Direct Sleep-Stage Classification","volume":"8","author":"Kim","year":"2020","journal-title":"IEEE Access"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3411","DOI":"10.1007\/s12652-020-02576-w","article-title":"Unsynchronized wearable sensor data analytics model for improving the performance of smart healthcare systems","volume":"12","author":"Alfarraj","year":"2021","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-Pinillos, F., Latorre-Rom\u00e1n, P.\u00c1., Soto-Hermoso, V.M., P\u00e1rraga-Montilla, J.A., Pantoja-Vallejo, A., Ram\u00edrez-Campillo, R., and Roche-Seruendo, L.E. (2019). Agreement between the spatiotemporal gait parameters from two different wearable devices and high-speed video analysis. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0222872"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"11109","DOI":"10.1109\/JSEN.2021.3062395","article-title":"A Wearable Wireless Sensor System Using Machine Learning Classification to Detect Arrhythmia","volume":"21","author":"Farooq","year":"2021","journal-title":"IEEE Sens. J."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.gaitpost.2019.12.028","article-title":"Differentiating dementia disease subtypes with gait anal-ysis: Feasibility of wearable sensors?","volume":"76","author":"Galna","year":"2020","journal-title":"Gait Posture"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"4379","DOI":"10.20964\/2018.05.43","article-title":"Sensitive dopamine sensor based on three dimensional and macroporous carbon aerogel microelectrode","volume":"13","author":"Ding","year":"2018","journal-title":"Int. J. Electrochem. Sci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2736","DOI":"10.1109\/TII.2018.2808190","article-title":"Context-Sensitive Access in Industrial Internet of Things (IIoT) Healthcare Applications","volume":"14","author":"Alturjman","year":"2018","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.future.2019.04.038","article-title":"Perception layer security in Internet of Things","volume":"100","author":"Khattak","year":"2019","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1109\/MMUL.2020.2993269","article-title":"Compression-Then-Encryption-Based Secure Watermarking Technique for Smart Healthcare System","volume":"27","author":"Anand","year":"2020","journal-title":"IEEE MultiMedia"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"4186","DOI":"10.1109\/JIOT.2020.3031162","article-title":"A Comprehensive Review on Secure Routing in Internet of Things: Mitigation Methods and Trust-Based Approaches","volume":"8","author":"Muzammal","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.future.2021.06.024","article-title":"Complex event detection for commodity distribution Internet of Things model incorporating radio frequency identification and Wireless Sensor Network","volume":"125","author":"Zhu","year":"2021","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_56","first-page":"1","article-title":"A Survey on Healthcare Data: A Security Perspective","volume":"17","author":"Singh","year":"2021","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"90","DOI":"10.3389\/fphys.2020.00090","article-title":"Wearable Inertial Measurement Units for Assessing Gait in Real-World Environments","volume":"11","author":"Renggli","year":"2020","journal-title":"Front. Physiol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"5461","DOI":"10.1021\/acs.chemrev.8b00573","article-title":"Bio-Integrated Wearable Systems: A Comprehensive Review","volume":"119","author":"Ray","year":"2019","journal-title":"Chem. Rev."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1740","DOI":"10.1007\/s00415-018-8786-y","article-title":"Wearable sensors for clinical applications in epilepsy, Parkinson\u2019s disease, and stroke: A mixed-methods systematic review","volume":"265","author":"Johansson","year":"2018","journal-title":"J. Neurol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1186\/s13638-018-1178-2","article-title":"Medical long-distance monitoring system based on internet of things","volume":"2018","author":"Zhang","year":"2018","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"4371","DOI":"10.1109\/JIOT.2019.2952593","article-title":"A Survey of Internet of Things (IoT) for Geohazard Prevention: Applications, Technologies, and Challenges","volume":"7","author":"Mei","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"3758","DOI":"10.1109\/JIOT.2018.2844296","article-title":"An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges","volume":"5","author":"Elijah","year":"2018","journal-title":"IEEE Internet Things J."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.compind.2019.01.004","article-title":"Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks","volume":"106","author":"Alarifi","year":"2019","journal-title":"Comput. Ind."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1016\/j.cej.2018.01.072","article-title":"Prussian Blue analogue derived porous NiFe2O4 nanocubes for low-concentration acetone sensing at low working temperature","volume":"338","author":"Wang","year":"2018","journal-title":"Chem. Eng. J."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"126870","DOI":"10.1016\/j.snb.2019.126870","article-title":"High sensitive and low-concentration sulfur dioxide (SO2) gas sensor application of heterostructure NiO-ZnO nanodisks","volume":"298","author":"Zhou","year":"2019","journal-title":"Sens. Actuators B Chem."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1016\/j.scib.2020.02.020","article-title":"Flexible conductive Ag nanowire\/cellulose nanofibril hybrid nanopaper for strain and temperature sensing applications","volume":"65","author":"Yin","year":"2020","journal-title":"Sci. Bull."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1038\/s41598-020-58965-w","article-title":"A new type low-cost, flexible and wearable tertiary nanocomposite sensor for room temperature hydrogen gas sensing","volume":"10","author":"Punetha","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"129028","DOI":"10.1016\/j.snb.2020.129028","article-title":"Gas sensor towards n-butanol at low temperature detection: Hierarchical flower-like Ni-doped Co3O4 based on solvent-dependent synthesis","volume":"328","author":"Cheng","year":"2021","journal-title":"Sens. Actuators B Chem."},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Naresh, V., and Lee, N. (2021). A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors. Sensors, 21.","DOI":"10.3390\/s21041109"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"338393","DOI":"10.1016\/j.aca.2021.338393","article-title":"Biosensing platforms based on silicon nanostructures: A critical review","volume":"1160","author":"Leonardi","year":"2021","journal-title":"Anal. Chim. Acta."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Leonardi, A., Faro, M., and Irrera, A. (2021). Silicon Nanowires Synthesis by Metal-Assisted Chemical Etching: A Review. Nanomaterials, 11.","DOI":"10.3390\/nano11020383"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1186\/s13638-017-0930-3","article-title":"A comprehensive wireless sensor network reliability metric for critical Internet of Things applications","volume":"2017","author":"Deif","year":"2017","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1007\/s10916-016-0475-8","article-title":"Bigdata Oriented Multimedia Mobile Health Applications","volume":"40","author":"Lv","year":"2016","journal-title":"J. Med. Syst."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1016\/j.pmcj.2017.04.006","article-title":"Serious game based personalized healthcare system for dysphonia rehabilitation","volume":"41","author":"Lv","year":"2017","journal-title":"Pervasive Mob. Comput."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"3581","DOI":"10.1109\/JSEN.2019.2897083","article-title":"Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic Review","volume":"19","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Nascimento, L.M.S.D., Bonfati, L.V., Freitas, M.L.B., Junior, J.J.A.M., Siqueira, H.V., and Stevan, J.S.L. (2020). Sensors and Systems for Physical Rehabilitation and Health Monitoring\u2014A Review. Sensors, 20.","DOI":"10.3390\/s20154063"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1038\/s41393-020-0423-9","article-title":"The safety and feasibility of a new rehabilitation robotic exoskeleton for assisting individuals with lower extremity motor complete lesions following spinal cord injury (SCI): An observational study","volume":"58","author":"Xiang","year":"2020","journal-title":"Spinal Cord"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"30283","DOI":"10.1109\/ACCESS.2021.3055960","article-title":"Upper Limb Rehabilitation System for Stroke Survivors Based on Multi-Modal Sensors and Machine Learning","volume":"9","author":"Miao","year":"2021","journal-title":"IEEE Access"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Mazzetta, I., Zampogna, A., Suppa, A., Gumiero, A., Pessione, M., and Irrera, F. (2019). Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson\u2019s Disease Using Electromyography and Inertial Signals. Sensors, 19.","DOI":"10.3390\/s19040948"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"e12926","DOI":"10.1111\/jsr.12926","article-title":"The wrist is not the brain: Estimation of sleep by clinical and consumer wearable actigraphy devices is impacted by multiple patient- and device-specific factors","volume":"29","author":"Danzig","year":"2019","journal-title":"J. Sleep Res."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1159\/000493642","article-title":"A pivotal study to validate the performance of a novel wearable sensor and system for biometric monitoring in clinical and remote environments","volume":"3","author":"Wright","year":"2019","journal-title":"Digit. Biomark."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Simonetti, E., Bergamini, E., Vannozzi, G., Bascou, J., and Pillet, H. (2021). Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study. Sensors, 21.","DOI":"10.3390\/s21093129"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1186\/s12984-020-00685-3","article-title":"Validity and reliability of wearable inertial sensors in healthy adult walking: A systematic review and meta-analysis","volume":"17","author":"Kobsar","year":"2020","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.gaitpost.2019.11.007","article-title":"What happens before the first step? A New Approach to Quantifying Gait Initiation Using a Wearable Sensor","volume":"76","author":"Gazit","year":"2020","journal-title":"Gait Posture"},{"key":"ref_85","first-page":"489","article-title":"Multi-Disease Prediction Based on Deep Learning: A Survey","volume":"128","author":"Xie","year":"2021","journal-title":"Comput. Model. Eng. Sci."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1109\/TMSCS.2017.2675888","article-title":"Wearable Medical Sensor-Based System Design: A Survey","volume":"3","author":"Mosenia","year":"2017","journal-title":"IEEE Trans. Multi-Scale Comput. Syst."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1109\/JSAC.2020.3020678","article-title":"DROPS: Dynamic Radio Protocol Selection for Energy-Constrained Wearable IoT Healthcare","volume":"39","author":"Misra","year":"2021","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_88","first-page":"1","article-title":"FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-chamber Views","volume":"PP","author":"Qiao","year":"2021","journal-title":"IEEE J. Biomed. Heal. Inform."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"39043","DOI":"10.1109\/ACCESS.2021.3062687","article-title":"Research on Disease Prediction Based on Improved DeepFM and IoMT","volume":"9","author":"Yu","year":"2021","journal-title":"IEEE Access"},{"key":"ref_90","first-page":"21","article-title":"Medical image fusion method by deep learning","volume":"2","author":"Li","year":"2021","journal-title":"Int. J. Cogn. Comput. Eng."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"714318","DOI":"10.3389\/fnins.2021.714318","article-title":"Fuzzy System Based Medical Image Processing for Brain Disease Prediction","volume":"15","author":"Hu","year":"2021","journal-title":"Front. Neurosci."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"705323","DOI":"10.3389\/fnins.2021.705323","article-title":"Semi-Supervised Support Vector Machine for Digital Twins Based Brain Image Fusion","volume":"15","author":"Wan","year":"2021","journal-title":"Front. 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