The DOI matches its Crossref record.
Wearable sensors/systems and their impact on biomedical engineering
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Whereas the first decade of research in the field of wearable technology was marked by an emphasis on the engineering work needed to develop wearable sensors and systems [123]”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [123]
Citations
Cited by
Sorted by citations
Items 101–200 of 384
L’Hommedieu, M., L’Hommedieu, J., Begay, C., Schenone, A., Dimitropoulou, L., Margolin, G., Falk, T. H., Ferrara, E., Lerman, K., & Narayanan, S. S. (2019) · JMIR mhealth and uhealth · doi:10.2196/13305 · Cited by 36
“They typically rely on wireless, miniature circuits embedded in patches or bandages, wristbands, rings, or shirts [7].”
BackgroundDevelopment of Smart Toothbrush Monitoring System for Ubiquitous Healthcare
Lee, J., Lee, K.-H., Kim, K.-S., et al. (2006) · doi:10.1109/iembs.2006.259232 · Cited by 35
“Regarding this trends in healthcare industries, healthcare technologies is now evolving to reduce long-term healthcare costs and improve quality of life [ 2 ].”
BackgroundDoheny, E. P., Goulding, C., Flood, M. W., McManus, L. M., & Lowery, M. M. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2953354 · Cited by 35
“solution, enabling continuous long-term monitoring of muscle activity beyond the laboratory [1]–[6].”
BackgroundMINIATURIZED WEARABLE FRACTAL ANTENNA FOR MILITARY APPLICATIONS AT VHF BAND
Poonkuzhali, R., Alex, Z. C., & Balakrishnan, T. (2016) · Progress In Electromagnetics Research C · doi:10.2528/pierc15070105 · Cited by 33
“Wearable antennas designed for military applications should meet the following requirements: thin, lightweight, low maintenance, robust, conformal, easy integration into clothing and should not affect the movement of the soldier [4–7].”
Yamamoto, T., Hoshino, Y. Y., Kanzaki, N., et al. (2020) · Journal of Foot and Ankle Research · doi:10.1186/s13047-020-00410-2 · Cited by 33
A smartphone-centric platform for personal health monitoring using wireless wearable biosensors
Lam, S. C. K., Wong, K. L., Wong, K. O., et al. (2009) · International Conference on Information, Communications and Signal Processing (ICICS) · doi:10.1109/icics.2009.5397628 · Cited by 32
“The need for wearable biosensor systems for continuous monitoring of health conditions have been studied in the literature [1].”
BackgroundSampling rate impact on energy consumption of biomedical signal processing systems
Tobola, A., Streit, F.-J., Espig, C., Korpok, O., Sauter, C., Lang, N. R., Schmitz, B., Hofmann, C., Struck, M., Weigand, C., et al. (2015) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2015.7299392 · Cited by 32
Comparison of three different kinematic sensor assemblies for locomotion study
Giansanti, D., & Maccioni, G. (2005) · Physiological Measurement · doi:10.1088/0967-3334/26/5/010 · Cited by 32
Wearable Internet of Things - from human activity tracking to clinical integration
Kumari, P., López‐Benítez, M., Lee, G. M., Kim, T., & Minhas, A. S. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037330 · Cited by 33
“Out of these, motion sensors have been most widely used in commercial products with a wide range of applications [3-9].”
BackgroundA smart insole for monitoring plantar pressure based on the fiber Bragg grating sensing technique
Lakho, R. A., Zhang, Y., Jin-Hua, J., et al. (2019) · Textile Research Journal · doi:10.1177/0040517519833977 · Cited by 30
I am a "Smart" watch, Smart Enough to Know the Accuracy of My Own Heart Rate Sensor
Ra, H.-K., Ahn, J., Yoon, H. J., Yoon, D., Son, S. H., & Ko, J. (2017) · Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications · doi:10.1145/3032970.3032977 · Cited by 29
“3032977 ries of studies show that ubiquitous heart rate sensing can offer possibilities for enabling clinical-grade services [3].”
BackgroundAn experimental characterization of human torso motion
Cafolla, D., Chen, I., & Ceccarelli, M. (2015) · Frontiers of Mechanical Engineering · doi:10.1007/s11465-015-0352-z · Cited by 29
Characteristics of polyurethane nanowebs treated with silver nanowire solutions as strain sensors
Kim, I., Lee, E., Jang, E., & Cho, G. (2017) · Textile Research Journal · doi:10.1177/0040517517697647 · Cited by 29
Continuous assessment of epileptic seizures with wrist-worn biosensors
Poh, M. (2011) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 27
Wrist-worn hand gesture recognition based on barometric pressure sensing
Zhu, Y., Jiang, S., & Shull, P. B. (2018) · IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2018.8329688 · Cited by 27
Sensing strategies in wearable bio-mechanical systems for medicine and sport: a review
Pasquale, G. D., & Ruggeri, V. (2019) · Journal of Micromechanics and Microengineering · doi:10.1088/1361-6439/ab2f24 · Cited by 29
“The most important parameters are speed and altimetry in running activities, and inertial data as impact energy and flying time in jumping activities [11, 12].”
BackgroundTrujillo-Guerrero, M. F., Román-Niemes, S., Jaén-Vargas, M., Cadiz, A., Fonseca, R., & Serrano-Olmedo, J. J. (2023) · IEEE Access · doi:10.1109/access.2023.3318563 · Cited by 28
“Making IMU suitable for healthcare applications such as rehabilitation programs to provide feedback on movements and monitor progress during therapy sessions [15].”
BackgroundZhang, S., He, Z., Zhao, W., Liu, C., Zhou, S., Ibrahim, O. O., Wang, C., & Wang, Q. (2024) · Nanomaterials · doi:10.3390/nano14100857 · Cited by 29
Lower limb motion tracking using IMU sensor network
Hamdi, M. M., Awad, M. I., Abdelhameed, M. M., & Tolbah, F. A. (2014) · Cairo International Biomedical Engineering Conference · doi:10.1109/cibec.2014.7020957 · Cited by 25
Measuring the Electrical Conductivity of Single Fibres
Rebouillat, S., & Lyons, M. E. G. (2011) · International Journal of Electrochemical Science · doi:10.1016/s1452-3981(23)18440-9 · Cited by 25
Future Market Trends and Opportunities for Wearable Sensor Technology
Usmani, U. A., & Usmani, M. U. (2014) · International Journal of Engineering and Technology · doi:10.7763/ijet.2014.v6.721 · Cited by 24
“Plethysmography [1] (PPG) In order to measure parasympathetic as well as sympathetic aspect of the autonomic nervous system, we have also devoted some light research on mobile measurement of heart rate and its variability.”
BackgroundProto, A., Vondrak, J., Schmidt, M., Kubíček, J., Gorjani, O. M., Havlík, J., & Penhaker, M. (2021) · IEEE Access · doi:10.1109/access.2021.3054405 · Cited by 25
“Since the beginning of the 2000s, wearables have been considered reliable tools for recording data on the health status of human beings [1], [2].”
MethodA Survey of Approaches to Unobtrusive Sensing of Humans
Fernandes, J. M., Silva, J. S., Rodrigues, A., & Boavida, F. (2022) · ACM Computing Surveys · doi:10.1145/3491208 · Cited by 29
“These devices allow for long-term monitoring that, alternatively, would require long-term hospitalizations and/or ambulatory environments that are much more expensive to set up and maintain [14].”
BackgroundEpisodic sampling: Towards energy-efficient patient monitoring with wearable sensors
Au, L. K., Batalin, M. A., Stathopoulos, T., Bui, A. A. T., & Kaiser, W. J. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333615 · Cited by 24
“Wireless, wearable sensor technology has recently received significant attention in healthcare because it offers continuous monitoring capability that traditional methodology lacks [1].”
BackgroundStochastic Analysis of the Impact of Substrate Compression on the Performance of Textile Antennas
Rossi, M., Agneessens, S., Rogier, H., et al. (2016) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2016.2543780 · Cited by 24
“On the one hand, their potential has been demonstrated in several domains, such as rescue operations [1], integration in firefighters’ garments for positioning and tracking [2], and telemedicine [3], [4].”
BackgroundRecent Developments in Miniaturization of Sensor Technologies and Their Applications
Aliofkhazraei, M., & Ali, N. (2014) · Elsevier eBooks · doi:10.1016/b978-0-08-096532-1.01309-1 · Cited by 24
Development of a Prototype E-Textile Sock
D’Addio, G., Evangelista, S., Donisi, L., et al. (2019) · doi:10.1109/embc.2019.8856739 · Cited by 23
“explored to assess the impact of clinical interventions and their benefits [2].”
BackgroundLee, J. K., & Jeon, T. H. (2019) · Sensors · doi:10.3390/s19245522 · Cited by 23
Markerless Sensors for Physical Health Monitoring System Using ECG and GMM Feature Extraction
Jalal, A., Batool, M., & Tahir, S. B. U. D. (2021) · International Bhurban Conference on Applied Sciences and Technology (IBCAST) · doi:10.1109/ibcast51254.2021.9393243 · Cited by 32
“Wearable sensors have made the home treatment possible especially for the patients who suffered from heart-attack, Parkinson’s disease and so on [12-17].”
BackgroundDevelopment and testing of a wearable Integrated Thermometer sensor for skin contact thermography
Giansanti, D., & Maccioni, G. (2006) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2006.07.006 · Cited by 21
“Bonato showed in a recent publication [1].”
A wearable system for knee flexion/extension monitoring: design and assessment
Resta, P., Presti, D. L., Schena, E., Massaroni, C., Formica, D., Kim, T., & Shin, D. (2020) · IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · doi:10.1109/metroind4.0iot48571.2020.9138192 · Cited by 20
“In this arena, the use of wearable systems has gained dramatic growth [1]–[3].”
BackgroundHalim, N. (2022) · Array · doi:10.1016/j.array.2022.100190 · Cited by 22
High Performance Cylindrical Capacitor as a Relative Humidity Sensor for Wearable Computing Devices
Jang, J., & Han, J. I. (2017) · Journal of The Electrochemical Society · doi:10.1149/2.1121704jes · Cited by 20
Ranjandish, R., & Schmid, A. (2020) · Sensors · doi:10.3390/s20195716 · Cited by 22
“The current healthcare systems are expected to deal with two major issues including chronic diseases and global population aging [17–19].”
BackgroundWearable Edge AI Applications for Ecological Environments
Silva, M. C., da Silva, J. C. F., Delabrida, S. E., Bianchi, A. G. C., Ribeiro, S. P., Silva, J. S., & Oliveira, R. (2021) · Sensors · doi:10.3390/s21155082 · Cited by 20
“As we propose a wearable system, it needs to be an unobtrusive system [44].”
BackgroundWearable Wireless Telemetry System for Implantable Bio-MEMS Sensors
Simons, R. N., Miranda, F. A., Wilson, J. D., et al. (2006) · doi:10.1109/iembs.2006.259598 · Cited by 20
“These sensors operate in the unlicensed frequency band and the frequency, power, and range of operation as well as, the dielectric properties of the human body are summarized in Table 1. Moreover, wearable sensors and systems for unobtrusive and continuous monitoring of the vital signs of humans have recently made sig…”
Liu, T., INOUE, Y., SHIBATA, K., et al. (2007) · IEEE/ASME International Conference on Advanced Intelligent Mechatronics · doi:10.1109/aim.2007.4412493 · Cited by 19
“Gait phases detection from accelerometer data was implemented to distinguish between stance and swing phase [2], but large disturbances in the acceleration signal may affect real-time precision in clinical applications.”
MethodExperimental Development and Validation of an E-Textile Sock Prototype
Amitrano, F., Donisi, L., Coccia, A., et al. (2020) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea49120.2020.9137302 · Cited by 19
“Stable trends showing a growth in the use of this technology suggest that soon wearable systems will be part of routine clinical evaluations [2].”
BackgroundDetection of Electrocardiogram by Electrodes with Fabrics Using Capacitive Coupling
Ueno, A., Furusawa, Y., Hoshino, H., & Ishiyama, Y. (2004) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss.124.1664 · Cited by 19
Intelligent textiles for medical and monitoring applications
Solaz, J., Lois, J. M. B., García, A. C., Barberà, R., Durá‐Gil, J. V., Gomez, J.-A., Soler, C., & Prat, J. (2006) · Elsevier eBooks · doi:10.1533/9781845691622.4.369 · Cited by 19
Classification and Kinetic Analysis of Healthy Gait using Multiple Accelerometer Sensors
Nutakki, C. S., Mathew, R. J., Suresh, A., Vijay, A. R., Krishna, S., Babu, A. S., & Diwakar, S. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.04.041 · Cited by 19
Machine-Learning based Wearable Multi-Channel sEMG Biometrics Modality for User's Identification
Said, S., Barakeh, Z. A., Beyrouthy, T., Kork, S. A., & Naït-Ali, A. (2021) · International Conference on Bio-engineering for Smart Technologies (BioSMART) · doi:10.1109/biosmart54244.2021.9677744 · Cited by 21
Wearable smart systems: From technologies to integrated systems
Lymberis, A. (2011) · doi:10.1109/iembs.2011.6090946 · Cited by 18
A wearable health monitoring system with multi-parameters
Liu, J., Xie, F., Zhou, Y., Zou, Q., & Wu, J. (2013) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2013.6746958 · Cited by 18
“Elderly people, postoperative rehabilitation patients, and persons with special abilities have a strong concern for their health [1,2].”
BackgroundWearable biosensing: signal processing and communication architectures issues
Celka, P., Vetter, R., Renevey, P., et al. (2005) · Journal of Telecommunications and Information Technology · doi:10.26636/jtit.2005.4.340 · Cited by 18
Wang, H., Li, J., McDonald, B. E., Farrell, T. R., Huang, X., & Clancy, E. A. (2023) · Sensors · doi:10.3390/s23052465 · Cited by 18
The potential of iRest in measuring the hand function performance of stroke patients
Rahman, H. B. A., Khor, K. X., Yeong, C. F., Su, E. L. M., & Narayanan, A. L. T. (2017) · Bio-Medical Materials and Engineering · doi:10.3233/bme-171660 · Cited by 17
“A number of studies have investigated the used of robotic device [20,21], wearable sensor [22–24] and motion capture system [25] in predicting the conventional assessment scale.”
Face Validity and Content Validity of a Game for Distal Radius Fracture Rehabilitation
Meijer, H. A. W., Graafland, M., Obdeijn, M. C., et al. (2019) · Journal of Wrist Surgery · doi:10.1055/s-0039-1688948 · Cited by 17
Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures
Lakho, R. A., Abro, Z. A., Chen, J., et al. (2022) · Sensors · doi:10.3390/s22155469 · Cited by 17
“The significant applications of plantar pressure measurement include analyzing different body postures [11], sports biomechanics [12], biomedical especially diagnosis of foot-related diseases [13], designing footwear in the shoe industry [14], athlete performances [15], several sports activities [16], observing dynami…”
BackgroundSmart Nanotextiles: Materials and Their Application
Coyle, S. M., & Diamond, D. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-803581-8.03345-2 · Cited by 17
Bonroy, B., Meijer, K., Dunias, P., et al. (2013) · ISRN Biomedical Engineering · doi:10.1155/2013/908452 · Cited by 17
“Today, these wearable sensors have reached the point that they can be used for clinical application [1, 2].”
BackgroundSmart Nanotextiles: Materials and Their Application
Coyle, S. M., & Diamond, D. (2010) · Elsevier eBooks · doi:10.1016/b978-008043152-9.02220-x · Cited by 17
Giansanti, D., Morone, G., Loreti, A., et al. (2022) · Healthcare · doi:10.3390/healthcare10030415 · Cited by 16
“In fact, one aspect that drove this boom was the vastness of the pandemic, the most terrible of the past century; however, the real engine of the boom of telemedicine during the epidemic for the SARS-CoV-2 virus of 2019, has been mobile technology based on smartphones [2]; these are capable of hosting telemedicine app…”
BackgroundPredicting physical activity levels from kinematic gait data using machine learning techniques
Galasso, S., Baptista, R., Molinara, M., Pizzocaro, S., Calabrò, R. S., & Nunzio, A. M. D. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106487 · Cited by 18
Scalable ECG hardware and algorithms for extended runtime of wearable sensors
Tobola, A., Espig, C., Streit, F.-J., Korpok, O., Schmitz, B., Hofmann, C., Struck, M., Weigand, C., Leutheuser, H., Eskofier, B. M., et al. (2015) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2015.7145209 · Cited by 16
Triaxial accelerometer-based real time fall event detection
Hou, Y., Li, N., & Huang, Z. (2012) · International Conference on Information Society · Cited by 16
Ahn, J., Ra, H.-K., Yoon, H. J., Son, S. H., & Ko, J. (2020) · IEEE Access · doi:10.1109/access.2020.3025776 · Cited by 17
“accurately track and quantify the activity levels of patients with maladies such as diabetes [2].”
BackgroundMethods, Developments, and Technological Innovations for Population Surveys
Tomaselli, V., Battiato, S., Ortis, A., Cantone, G. G., Urso, S., & Polosa, R. (2021) · Social Science Computer Review · doi:10.1177/0894439321994218 · Cited by 16
“Most of wearable sensors can be connected to the smartphone through Bluetooth technology, the collection of all this information can be sent through the smart-phone to a cloud platform, which collects and tracks statistics about the user’s state over time (Bonato, 2003; Pentland, 2004).”
BackgroundKumar, D., Gubbi, J., Yan, B., & Palaniswami, M. S. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6611094 · Cited by 15
R3HMS, An IoT Based Approach for Patient Health Monitoring
Zilani, K. A., Yeasmin, R., Zubair, K. A., et al. (2018) · International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2) · doi:10.1109/ic4me2.2018.8465482 · Cited by 15
PBCR: Parameter-based Backoff Counter Regulation in IEEE 802.15.6 CSMA/CA
Das, K., & Moulik, S. (2021) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets51098.2021.9352747 · Cited by 15
“…are early detection of health disorders through constant or periodic monitoring of physiological functions, such as blood pressure, body temperature, electrocardiogram, heart rate, respiration, etc. Healthcare through WBAN enhances the patients’ quality of life and decreases hospital costs [7]–[9].”
BackgroundA formal language approach for multi-sensor Wearable Health-Monitoring Systems
Pantelopoulos, A., & Bourbakis, N. (2008) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2008.4696772 · Cited by 15
“Moreover, by enabling long-term unobtrusive monitoring ofa patient's physiological parameters through his daily activities and thus providing real-time feedback information about his health condition, WHMS can lead to better treatment of chronic diseases, postoperative rehabilitation patients [ 4 ] and high risk patie…”
BackgroundA Wearable Sensor System for Human Motion Analysis and Humanoid Robot Control
Liu, T., INOUE, Y., & SHIBATA, K. (2006) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2006.340276 · Cited by 15
“Thus, the cheaper and more comfortable gait analysis device, several sensor combinations, including force sensitive resistors, inclinometer, goniometers, gyroscopes and accelerometers, were proposed to perform gait phases analysis [3].”
MethodContinuous and long-term arterial blood pressure monitoring by using h-Shirt
Chan, C. H. S., & Zhang, Y. (2008) · doi:10.1109/itab.2008.4570615 · Cited by 15
Advances in textile sensing and actuation for e-textile applications
Paradiso, R., & Rossi, D. D. (2008) · doi:10.1109/iembs.2008.4649993 · Cited by 15
A New System for Continuous Monitoring of Breathing and Kinetic Activity
Marani, R., Gelao, G., & Perri, A. G. (2010) · Journal of Sensors · doi:10.1155/2010/434863 · Cited by 15
“For breast dilatation monitoring, piezoelectric strain gauge sensors are quite problematic [10], since the charge generated at typical breathing frequencies (0.”
BackgroundReal-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients
Triantafyllopoulos, D., Korvesis, P., Mporas, I., & Megalooikonomou, V. (2015) · Journal of Medical Systems · doi:10.1007/s10916-015-0403-3 · Cited by 14
“diseases [12, 13, 14], elderly people, postoperative rehabilitation patients, and persons with special 1 abilities [15, 16].”
BackgroundParallel Mutant Execution Techniques in Mutation Testing Process for Simulink Models
Hanh, L. T. M., Binh, N. T., & Khuat, T. T. (2017) · Journal of Telecommunications and Information Technology · doi:10.26636/jtit.2017.113617 · Cited by 14
“Wearable sensing of human physiological signals is becoming an essential part of nowadays monitoring systems [1–3] (see references in the same issue of the IEEE EMB Magazine), [4–8].”
BackgroundElectronic textile electrocardiogram monitoring in cardiac patients: a scoping review protocol
Teferra, M. N., Kourbelis, C., Newman, P. K., Ramos, J. S., Hobbs, D., Clark, R. A., & Reynolds, K. J. (2018) · The JBI Database of Systematic Reviews and Implementation Reports · doi:10.11124/jbisrir-2017-003630 · Cited by 13
Geroski, T., Ranković, V., Peulić, M., et al. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2899665 · Cited by 14
“[15], [16], [17], [18].”
Geroski, T., Milovanović, V., Ranković, V., et al. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103978 · Cited by 14
Lin, C.-W., Ruan, S.-J., Hsu, W.-C., Tu, Y., & Han, S.-L. (2020) · Sensors · doi:10.3390/s20195588 · Cited by 14
Two-Mode Biomedical Sensor Build-up: Characterization of Optical Amplifier
Masud, U., Jeribi, F., Alhameed, M. H., et al. (2021) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2022.020417 · Cited by 13
Wearable Device Data and Privacy: A study of Perception and Behavior
Hallam, C. R. A., & Zanella, G. (2016) · World Journal of Management · doi:10.21102/wjm.2016.03.71.06 · Cited by 12
Wearable Sensors for Motion and Electrophysiological Signal Tracking in XR
Qiu, Y., He, X., Li, Z., Peng, Z., Huang, Y., & Yu, X. (2024) · Korean Journal of Chemical Engineering · doi:10.1007/s11814-024-00227-w · Cited by 14
From Enabling Technology to Clinical Applications
Bonato, P. (2010) · Cited by 12
Self-citationHuman motion energy harvesting using a piezoelectric MFC patch
Bassani, G., Filippeschi, A., & Ruffaldi, E. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319531 · Cited by 12
Meijer, H. A. W., Graafland, M., Obdeijn, M. C., van Dieren, S., Goslings, J. C., & Schijven, M. P. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-042629 · Cited by 12
Cheung, H. K., Hebl, M. R., King, E. B., Markell, H. M., Moreno, C. J., & Nittrouer, C. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617709113 · Cited by 12
“Researchers have already harnessed the advantages of wearable technology in medicine and biomedical engineering (Bonato, 2003; Park & Jayaraman, 2003; Patel, Park, Bonato, Chan, & Rodgers, 2012; Vallurupalli, Paydak, Agarwal, Agrawal, & Assad-Kottner, 2013); however, social and personality psychologists have yet to le…”
BackgroundAlimisis, V., Cheliotis, K., Moustakas, V., Mylona, A., Dimas, C., & Sotiriadis, P. P. (2025) · Analog Integrated Circuits and Signal Processing · doi:10.1007/s10470-025-02480-3 · Cited by 13
“…where the functional behavior of the network is largely abstracted from the specifics of the underlying hardware, analog designs are intimately tied to the physi - cal characteristics and inherent non-idealities of the circuit elements used to realize each computational operation [ 33 , 34 ].”
Energy-Efficient Context Classification With Dynamic Sensor Control
Au, L. K., Bui, A. A. T., Batalin, M. A., & Kaiser, W. J. (2011) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2011.2166073 · Cited by 12
“Furthermore, for many hidden medical conditions, symptoms are often missed during traditional clinical visits; and cumulative, free-living monitoring of physical activities with wearable systems has shown to be a major clinical outcome for patients with chronic diseases [5], [6].”
BackgroundAmbulatory Autonomic Activity Monitoring Among At-Risk Adolescent Mothers
Rajan, S., Leonard, N. R., Fletcher, R., Casarjian, B., Casarjian, R., Cisse, C., & Gwadz, M. V. (2012) · Journal of Mobile Technology in Medicine · doi:10.7309/jmtm.19 · Cited by 11
Akıllı ve Geleneksel Giyilebilir Sağlık Cihazlarında Nesnelerin İnterneti
Öcal, H., Doğru, İ. A., & Barışçı, N. (2018) · Journal of Polytechnic · doi:10.2339/politeknik.450290 · Cited by 11
“Kullanılan geleneksel güvenlik sistemlerinin çok karmaşık hesaplama algoritmalarına sahip olması enerji verimliliğini de etkileyen sorunlarındandır [7].”
MsWH: A Multi-Sensory Hardware Platform for Capturing and Analyzing Physiological Emotional Signals
Asiain, D., de León, J. P., & Beltrán, J. R. (2022) · Italian National Conference on Sensors · doi:10.3390/s22155775 · Cited by 11
Giansanti, D., Maccioni, G., & Gigante, G. E. (2005) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2005.07.003 · Cited by 11
Xin, Y., Zhou, J., Nesser, H., & Gilles Lubineau, A. (2022) · Advanced Electronic Materials · doi:10.1002/aelm.202200534 · Cited by 11
Rêgo, A. D. S., Filipe, L., Dias, R. A., Alves, F. S., Queiroz, J., Ainla, A., Arruda, L. M., Fangueiro, R. M. E. S., Bouçanova, M., Bernardes, R. A., et al. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20054039 · Cited by 12
“…and sensory perception of the prototype component health professionals’ wide range of performance areas, the contextual factors evoked from each report revealed significant variations in the opinions of the interviewees, which would not be possible to obtain with only the “QUAN” study [65,66].”
Kinematic Gait Analysis Using Inertial Sensors with Subjects after Stroke in Two Different Arteries
Mazuquin, B., Batista, J. P., Pereira, L. M., et al. (2014) · Journal of Physical Therapy Science · doi:10.1589/jpts.26.1307 · Cited by 10
Field Research Cooperative Wearable Systems: Challenges in Requirements, Design and Validation
Silva, M. C., Amorim, V., Ribeiro, S., & Oliveira, R. A. O. (2019) · Italian National Conference on Sensors · doi:10.3390/s19204417 · Cited by 11
“[22], is that they are non-obtrusive devices.”
Advanced Wearable Sensors and Systems Enabling Personal Applications
Lymberis, A. (2010) · Lecture notes in electrical engineering · doi:10.1007/978-3-642-15687-8_13 · Cited by 10
“Body worn systems, endowed with autonomous sensing, actuation, processing, communication and energy harvesting and storage, are emerging as a solution to the challenges of monitoring people anywhere and at anytime in applications such as healthcare, wellbeing and lifestyle, protection and safety [1, 2, 3 , 4]. Such sy…”
BackgroundMeasurement of Soft Tissue Deformation to Improve the Accuracy of a Body-Mounted Motion Sensor
Liu, T., INOUE, Y., & SHIBATA, K. (2009) · Journal of Medical Devices · doi:10.1115/1.3212558 · Cited by 10
A low-frequency low-noise transceiver for human body channel communication
Huang, J., Wang, L., Zhang, D., et al. (2009) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2009.5372091 · Cited by 10
“Besides, the human body significantly affects the wireless link quality and causes communication interferences since these devices have to work within the body proximal [3].”
BackgroundWidjaja, F., Shee, C. Y., Zhang, D., Ang, W. T., Poignet, P., Bó, A. P. L., & Guiraud, D. (2008) · Cited by 10
A Noninvasive Assistant System in Diagnosis of Lumbar Disc Herniation
Peulić, M., Joković, M., Geroski, T., et al. (2020) · Computational and Mathematical Methods in Medicine · doi:10.1155/2020/6320126 · Cited by 10
“Portable systems are becoming part of everyday clinical practice [14, 15].”
BackgroundPortable Medical Suction and Aspirator Devices: Are the Design and Performance Standards Relevant?
Peri, S. R., Akhter, F., Lorenzo, R. A. D., & Hood, R. L. (2022) · Sensors · doi:10.3390/s22072515 · Cited by 12
“Technological development of wearable sensors and systems has reached the point of being ready for clinical applications [48].”
BackgroundComputationally efficient QRS detection analysis based on dual-slope method
Arefin, M., & Fazel-Rezai, R. (2014) · doi:10.1109/embc.2014.6944073 · Cited by 9
“A dramatic growth of interest for wearable technology has been fostered by recent technological advances in sensors, low-power integrated circuits and wireless communications [1].”
BackgroundLymberis, A. (2005) · doi:10.1109/iembs.2005.1615377 · Cited by 9
“Finally, the sensing element and biomedical sensors are critical for all smart wearable health systems [5].”
BackgroundWearable sensor network: A framework for harnessing Ambient Intelligence
Park, S., & Jayaraman, S. (2009) · Journal of Ambient Intelligence and Smart Environments · doi:10.3233/ais-2009-0017 · Cited by 9
“Despite the promise and potential of wearable sensor network technology and the extensive research work going on in the field that has led to substantial improvements in the technology from its inception [2–6,8–11,14–16,22,25], a robust textilebased AIS is yet to enter the marketplace in any significant measure and re…”
BackgroundLed, S., Azpilicueta, L., Martinez-Espronceda, M., Serrano, L., & Falcone, F. (2015) · Springer series in bio-/neuroinformatics · doi:10.1007/978-3-319-12817-7_11 · Cited by 9
Ubiquitous Healthcare: A New Frontier in E-Health
Sneha, S., & Varshney, U. (2006) · Journal of the Association for Information Systems · Cited by 9
Metadata
- Authors
- Bonato, P.
- Affiliations
- Harvard University (US)
- Corresponding author
- Bonato, P.
- ORCID
- Bonato, P.
- Venue
- IEEE Engineering in Medicine and Biology Magazine
- Published
- 2003-05
- Volume
- 22
- Issue
- 3
- Pages
- 18-20
- ISSN
- 0739-5175 (ISSN-L)
- OpenAlex
- W2002577311
- Cited by
- 382
- References
- 0
- Citations by year
- 2026: 3 · 2025: 15 · 2024: 11 · 2023: 11 · 2022: 18 · 2021: 24 · 2020: 20 · 2019: 24 · 2018: 20 · 2017: 25 · 2016: 22 · 2015: 22 · 2014: 24 · 2013: 16 · 2012: 19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Engineering in Medicine and Biology Magazine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Fifth Framework Programme
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- wearable sensors, wearable systems, biomedical engineering, health monitoring, remote patient monitoring
- MeSH terms
- Biomedical Engineering, Clothing, Electronics, Equipment Design, Humans, Ergonomics, Miniaturization, Transducers, Information Storage and Retrieval, Monitoring, Ambulatory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
