Advances in wearable technology and applications in physical medicine and rehabilitation

Enhancing the quality of life through wearable technology

Park, S., & Jayaraman, S. (2003) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2003.1213625 · Cited by 615

Physical rehabilitation outcome measures : a guide to enhanced clinical decision making

Finch, E. (2002) · Lippincott Williams & Wilkins eBooks · Cited by 399

Physical activity monitoring based on accelerometry: validation and comparison with video observation

Aminian, K., Robert, P. A., Buchser, E., Rutschmann, B., Hayoz, D., & Depairon, M. (1999) · Medical & Biological Engineering & Computing · doi:10.1007/bf02513304 · Cited by 309

User‐adaptive control of a magnetorheological prosthetic knee

Herr, H., & Wilkenfeld, A. (2003) · Industrial Robot the international journal of robotics research and application · doi:10.1108/01439910310457706 · Cited by 294

Motion pattern and posture: Correctly assessed by calibrated accelerometers

Foerster, F., & Fahrenberg, J. (2000) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200815 · Cited by 188

Detecting absolute human knee angle and angular velocity using accelerometers and rate gyroscopes

Williamson, R., & Andrews, B. J. (2001) · Medical & Biological Engineering & Computing · doi:10.1007/bf02345283 · Cited by 185

Quantification of physical activities by means of ambulatory accelerometry: A validation study

Bussmann, J. B. J., Tulen, J. H. M., van Herel, E. C. G., & Stam, H. J. (1998) · Psychophysiology · doi:10.1017/s0048577298971153 · Cited by 142

Physical Rehabilitation Outcome Measures: A Guide to Enhanced Clinical Decision Making, Second Edition

Kay, T., & Huijbregts, M. P. J. (2003) · Physiotherapy Canada · doi:10.2310/6640.2003.35271 · Cited by 139

Automatic assessment of levodopa‐induced dyskinesias in daily life by neural networks

Keijsers, N., Horstink, M. W. I. M., & Gielen, S. C. A. M. (2002) · Movement Disorders · doi:10.1002/mds.10310 · Cited by 139

Is it feasible to reconstruct body segment 3-D position and orientation using accelerometric data?

Giansanti, D., Macellari, V., Maccioni, G., & Cappozzo, A. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.809490 · Cited by 127

In-home telerehabilitation for geriatric patients

Hamel, M., Fontaine, R., & Boissy, P. (2008) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2008.919491 · Cited by 40

Monitoring motor capacity changes of children during rehabilitation using body-worn sensors

Strohrmann, C., Labruyère, R., Gerber, C. N., van Hedel, H. J. A., Bert Arnrich, A., & Tröster, G. (2013) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-10-83 · Cited by 40

Physiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice

Blumenthal, J., Wilkinson, A. J., & Chignell, M. (2018) · Physiotherapy Canada · doi:10.3138/ptc.2016-100.e · Cited by 39

Usability of a wearable device for home-based upper limb telerehabilitation in persons with stroke: A mixed-methods study

Toh, S. F. M., González, P. C., & Fong, K. N. K. (2023) · Digital Health · doi:10.1177/20552076231153737 · Cited by 40

Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive Episodes

Rodríguez-Ruiz, J. G., Galvan-Tejada, C. E., Zanella-Calzada, L. A., Celaya-Padilla, J. M., Galván-Tejada, J. I., Gamboa-Rosales, H., Luna-García, H., Magallanes‐Quintanar, R., & Soto-Murillo, M. A. (2020) · Diagnostics · doi:10.3390/diagnostics10030162 · Cited by 39

Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels—A Pilot Study on Firefighters

Meina, M., Ratajczak, E. K., Sadowska, M., Rykaczewski, K., Dreszer, J., Bałaj, B., Biedugnis, S., Węgrzyński, W., & Krasuski, A. (2020) · Sensors · doi:10.3390/s20102834 · Cited by 42

Learning Analytics Based on Wearable Devices: A Systematic Literature Review From 2011 to 2021

Liu, Z., Ren, Y., Kong, X., & Liu, S. (2022) · Journal of Educational Computing Research · doi:10.1177/07356331211064780 · Cited by 45

Feature-Based Information Retrieval of Multimodal Biosignals with a Self-Similarity Matrix: Focus on Automatic Segmentation

Rodrigues, J., Liu, H., Folgado, D., Belo, D., Schultz, T., & Gamboa, H. F. S. (2022) · Biosensors · doi:10.3390/bios12121182 · Cited by 38

Living Labs: overview of ecological approaches for health promotion and rehabilitation

Korman, M., Weiss, P. L., & Kizony, R. (2015) · Disability and Rehabilitation · doi:10.3109/09638288.2015.1059494 · Cited by 37

A simple test to assess the static and dynamic accuracy of an inertial sensors system for human movement analysis

Cutti, A. G., Giovanardi, A., Rocchi, L., & Davalli, A. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260705 · Cited by 37

Mobile Phone-Connected Wearable Motion Sensors to Assess Postoperative Mobilization

Appelboom, G., Taylor, B. E. S., Bruce, E. M., Bassile, C. C., Malakidis, C., Yang, A., Youngerman, B., D’Amico, R. S., Bruce, S., Bruyère, O., et al. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3785 · Cited by 35

Literature review on wearable systems in upper extremity rehabilitation

Wang, Q., Chen, W., & Markopoulos, P. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2014.6864424 · Cited by 35

Reliable and energy-efficient cooperative routing algorithm for wireless monitoring systems

Manfredi, S. (2012) · IET Wireless Sensor Systems · doi:10.1049/iet-wss.2011.0103 · Cited by 35

Lower Limb Exoskeleton Sensors: State-of-the-Art

Neťuková, S., Bejtic, M., Malá, C., Horáková, L., Kutílek, P., Kauler, J., & Krupička, R. (2022) · Sensors · doi:10.3390/s22239091 · Cited by 38

Advancing Digital Earth: beyond the next generation

Ehlers, M., Woodgate, P., Annoni, A., & Schade, S. (2013) · International Journal of Digital Earth · doi:10.1080/17538947.2013.814449 · Cited by 33

Bio-sensing textiles - Wearable Chemical Biosensors for Health Monitoring

Coyle, S. M., Wu, Y., Lau, K., Brady, S. A., Wallace, G. G., & Diamond, D. (2007) · Springer eBooks · doi:10.1007/978-3-540-70994-7_6 · Cited by 31

User Experience & Usability of Wearable Health Device: A Bibliometric Analysis of 2014–2023

Hu, L., Chen, Y., Cao, E., & Hu, W. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2357905 · Cited by 39

Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic Review

Herrera-Luna, I., Rechy-Ramirez, E. J., Ríos-Figueroa, H. V., & Marı́n-Hernández, A. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2897083 · Cited by 33

An adaptive Kalman-based Bayes estimation technique to classify locomotor activities in young and elderly adults through accelerometers

Muscillo, R., Schmid, M., Conforto, S., & D’Alessio, T. (2010) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2010.05.009 · Cited by 30

Towards self-learning based hypotheses generation in biomedical text domain

Gopalakrishnan, V., Jha, K., Xun, G., Ngo, H. Q., & Zhang, A. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx837 · Cited by 30

Electrospun nanofibrous yarn based piezoresistive flexible strain sensor for human motion detection and speech recognition

Ahmed, S., Nauman, S., & Khan, Z. M. (2022) · Journal of Thermoplastic Composite Materials · doi:10.1177/08927057221095853 · Cited by 30

New scenarios in human trunk posture measurements for clinical applications

Saggio, G., & Sbernini, L. (2011) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2011.5966651 · Cited by 30

The Use of IMMUs in a Water Environment: Instrument Validation and Application of 3D Multi-Body Kinematic Analysis in Medicine and Sport

Mangia, A. L., Cortesi, M., Fantozzi, S., Giovanardi, A., Borra, D., & Gatta, G. (2017) · Sensors · doi:10.3390/s17040927 · Cited by 30

Smart Clothing Design Issues in Military Applications

Scataglini, S., Andreoni, G., & Gallant, J. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-94619-1_15 · Cited by 29

Bone conduction implants – a rapidly developing field

Edmiston, R., Aggarwal, R., & Green, K. M. J. (2015) · The Journal of Laryngology & Otology · doi:10.1017/s0022215115002042 · Cited by 29

Distribution of arm velocity and frequency of arm usage during daily activity: Objective outcome evaluation after shoulder surgery

Duc, C., Farron, A., Pichonnaz, C., Jolles, B. M., Bassin, J., & Aminian, K. (2012) · Gait & Posture · doi:10.1016/j.gaitpost.2012.11.021 · Cited by 28

Next-Generation Wearable Biosensors Developed with Flexible Bio-Chips

Nam, D., Cha, J. M., & Park, K. (2021) · Micromachines · doi:10.3390/mi12010064 · Cited by 29

Fabric-based strain sensors for measuring movement in wearable telemonitoring applications

Metcalf, C., Collie, S. R., Cranny, A., Hallett, G., James, C. J., Adams, J., Chappell, P. H., White, N. M., & Burridge, J. H. (2009) · doi:10.1049/ic.2009.0042 · Cited by 25

A portable inertial sensing-based spinal motion measurement system for low back pain assessment

Lee, J. K., Desmoulin, G. T., Khan, A. H., & Park, E. J. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091173 · Cited by 24

Rehabilitation Outcome in Patients undergone Hip or Knee Replacement Surgery using Inertial Technology for Gait Analysis

Pagano, G., D’Addio, G., Campi, M. D., Donisi, L., Biancardi, A., & Cesarelli, M. (2020) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea49120.2020.9137125 · Cited by 24

What Lies Beneath: Unraveling the Generative Mechanisms of Smart Technology and Service Design

Lee, J. Y. H., Hsu, C. W., & Silva, L. (2020) · Journal of the Association for Information Systems · doi:10.17705/1jais.00648 · Cited by 27

Episodic 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

Classification of Normal and Pathological Gait in Young Children Based on Foot Pressure Data

Guo, G., Guffey, K., Chen, W., & Pergami, P. (2016) · Neuroinformatics · doi:10.1007/s12021-016-9313-x · Cited by 24

Inkjet-printed, self-aligned organic Schottky diodes on imprinted plastic substrates

Cao, M., Hyun, W. J., Francis, L. F., & Frisbie, C. D. (2020) · Flexible and Printed Electronics · doi:10.1088/2058-8585/ab670a · Cited by 24

Automatic detection of tic activity in the Tourette Syndrome

Bernabei, M., Andreoni, G., Garcia, M. O. M., Piccini, L., Aletti, F. M., Sassi, M., Servello, D., Porta, M., & Preatoni, E. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627374 · Cited by 23

Recognition of elementary arm movements using orientation of a tri-axial accelerometer located near the wrist

Biswas, D., Corda, D., Baldus, G., Cranny, A., Maharatna, K., Achner, J., Klemke, J., Jöbges, M., & Ortmann, S. (2014) · Physiological Measurement · doi:10.1088/0967-3334/35/9/1751 · Cited by 23

Comparison of Strain-Gage and Fiber-Optic Goniometry for Measuring Knee Kinematics During Activities of Daily Living and Exercise

Mohamed, A. A., Baba, J., Beyea, J., Landry, J. S., Sexton, A., & McGibbon, C. A. (2012) · Journal of Biomechanical Engineering · doi:10.1115/1.4007094 · Cited by 23

Partition Between Volitional and Induced Forces in Electrically Augmented Dynamic Isometric Muscle Contractions

Langzam, E., Nemirovsky, Y., Isakov, E., & Mizrahi, J. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.881591 · Cited by 22

A Patient-Centric Sensory System for In-Home Rehabilitation

Abbasi‐Kesbi, R., Nikfarjam, A., & Memarzadeh‐Tehran, H. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2631464 · Cited by 22

Context‐aware usage control for web of things

Bai, G., Yan, L., Gu, L., Guo, Y., & Chen, X. (2012) · Security and Communication Networks · doi:10.1002/sec.424 · Cited by 22

Wireless Sensor Network Applications in Urban Telehealth

Morreale, P. A. (2007) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/ainaw.2007.375 · Cited by 22

Deep Learning-Based Optimal Smart Shoes Sensor Selection for Energy Expenditure and Heart Rate Estimation

Eom, H., Roh, J., Hariyani, Y. S., Baek, S., Lee, S., Kim, S., & Park, C. (2021) · Sensors · doi:10.3390/s21217058 · Cited by 24

Information presentation through a head-worn display (“smart glasses”) has a smaller influence on the temporal structure of gait variability during dual-task gait compared to handheld displays (paper-based system and smartphone)

Sedighi, A., Ulman, S. M., & Nussbaum, M. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0195106 · Cited by 21

Dependence of anticipatory postural adjustments for step initiation on task movement features: a study based on dynamometric and accelerometric data

Rocchi, L., Mancini, M., Chiari, L., & Cappello, A. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260731 · Cited by 21

Axially and Radially Expandable Modular Helical Soft Actuator for Robotic Implantables

Perez-Guagnelli, E., Nejus, S., Yu, J., Miyashita, S., Liu, Y., & Damian, D. D. (2018) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2018.8461239 · Cited by 20

Functional assessment in patients undergoing total hip arthroplasty

Rivera, R. J., Karasavvidis, T., Pagan, C. A., Haffner, R., Ast, M. P., Vigdorchik, J. M., & Debbi, E. M. (2024) · The Bone & Joint Journal · doi:10.1302/0301-620x.106b8.bjj-2024-0142.r1 · Cited by 20

iPod-based in-home system for monitoring gaze-stabilization exercise compliance of individuals with vestibular hypofunction

Huang, K. I., Sparto, P. J., Kiesler, S. B., Siewiorek, D. P., & Smailagic, A. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-69 · Cited by 20

Wearable technology for the elderly: Underutilized solutions

Hentschel, M. A., Haaksma, M. L., & van de Belt, T. H. (2016) · European Geriatric Medicine · doi:10.1016/j.eurger.2016.07.008 · Cited by 20

Patients’ Heart Monitoring System Based on Wireless Sensor Network

Sollu, T. S., Alamsyah, A., Bachtiar, M. A., & Sooai, A. G. (2018) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/336/1/012009 · Cited by 20

A novel automatic method for monitoring Tourette motor tics through a wearable device

Bernabei, M., Preatoni, E., Méndez, M. O., Piccini, L., Porta, M., & Andreoni, G. (2010) · Movement Disorders · doi:10.1002/mds.23188 · Cited by 20

Detecting epileptic seizures using wearable sensors

Patel, S., Mancinelli, C., Dalton, A. F., Patritti, B., Pang, T. D., Schachter, S. C., & Bonato, P. (2009) · IEEE Annual Northeast Bioengineering Conference (NEBEC) · doi:10.1109/nebc.2009.4967771 · Cited by 20

A minimum-order kalman filter for ambulatory real-time human body orientation tracking

Lee, J. K., & Park, E. J. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2009.5152623 · Cited by 20

eWellness: Building a Smart Hospital by Leveraging RFID Networks

Wu, B., Liu, Z., George, R., & Shujaee, K. A. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1615294 · Cited by 20

Hand movement classification from measured scattering parameters using deep convolutional neural network

Gupta, S. H., Sharma, A., Mohta, M., & Rajawat, A. (2019) · Measurement · doi:10.1016/j.measurement.2019.107258 · Cited by 19

The application of markerless motion capture (MMC) technology in rehabilitation programs: a systematic review and meta-analysis

Lam, W. W. T., & Fong, K. N. K. (2022) · Virtual Reality · doi:10.1007/s10055-022-00696-6 · Cited by 19

HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications

Fernandes, G. J., Zheng, J., Pedram, M., Romano, C., Shahabi, F., Rothrock, B., Cohen, T., Zhu, H., Butani, T. S., Hester, J. D., et al. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3678591 · Cited by 19

A Sensorized Garment Controlled Virtual Robotic Wheelchair

Gulrez, T., & Tognetti, A. (2013) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-013-9839-1 · Cited by 20

Robotic and Wearable Sensor Technologies for Measurements/Clinical Assessments

Lambercy, O., Maggioni, S., Lünenburger, L., Gassert, R., & Bolliger, M. (2016) · Springer eBooks · doi:10.1007/978-3-319-28603-7_10 · Cited by 20

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

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

Measurement of functional impairments in human locomotion using pattern analysis

Sarkodie-Gyan, T., Yu, H., Alaqtash, M., Abdelgawad, A. H. K., Spier, E., & Brower, R. D. (2010) · Measurement · doi:10.1016/j.measurement.2010.09.043 · Cited by 17

Evaluation of a Stretch Sensor for its inedited application in tracking hand finger movements

Sbernini, L., Pallotti, A., & Saggio, G. (2016) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2016.7533809 · Cited by 17

The REMOTE AAL Project: Remote Health and Social Care for Independent Living of Isolated Elderly with Chronic Conditions

Bekiaris, E. D., Mourouzis, A., & Maglaveras, N. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21666-4_15 · Cited by 17

A Highly Durable and UV‐Resistant Graphene‐Based Knitted Textile Sensing Sleeve for Human Joint Angle Monitoring and Gesture Differentiation

Zhou, Y., Sun, Y., Li, Y., Shen, C., Lou, Z., Min, X., & Stewart, R. (2024) · Advanced Intelligent Systems · doi:10.1002/aisy.202400124 · Cited by 17

Sensor-Based Rehabilitation in Neurological Diseases: A Bibliometric Analysis of Research Trends

Facciorusso, S., Spina, S., Reebye, R. N., Turolla, A., Calabrò, R. S., Fiore, P., & Santamato, A. (2023) · Brain Sciences · doi:10.3390/brainsci13050724 · Cited by 18

Objective evaluation of cervical spine mobility after surgery during free-living activity

Duc, C., Patrick Salvia, A., Lubansu, A., Feipel, V., & Aminian, K. (2013) · Clinical Biomechanics · doi:10.1016/j.clinbiomech.2013.03.006 · Cited by 16

HealthMate: Smart Wearable System for Health Monitoring (SWSHM)

Omer, R. M. D., & Al-Salihi, N. K. (2017) · IEEE International Conference on Networking, Sensing and Control (ICNSC) · doi:10.1109/icnsc.2017.8000185 · Cited by 16

Serious Games Based on Kinect and Leap Motion Controller for Upper Limbs Physical Rehabilitation

Postolache, G. B., Cary, F., Lourenço, F., Ferreira, D., Oliveira, R., Girão, P. S., & Postolache, O. A. (2018) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-99540-3_8 · Cited by 17

Vibration Energy Harvester Driven Wearable Biomedical Diagnostic System

Balpande, S. S., Kalambe, J. P., & Pande, R. S. (2018) · IEEE International Conference on Nano/Micro Engineered and Molecular Systems · doi:10.1109/nems.2018.8556864 · Cited by 16

Development of strain energy harvester as an alternative power source for the wearable biomedical diagnostic system

Balpande, S. S., Kalambe, J. P., & Pande, R. S. (2019) · Micro & Nano Letters · doi:10.1049/mnl.2018.5250 · Cited by 16

Measuring body movement: Current and future directions in proxemics and kinesics.

Dael, N., Bianchi‐Berthouze, N., Kleinsmith, A., & Möhr, C. (2015) · American Psychological Association eBooks · doi:10.1037/14669-022 · Cited by 17

Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion

Ruiz-Olaya, A. F., Callejas-Cuervo, M., & Lara-Herrera, C. N. (2017) · DYNA · doi:10.15446/dyna.v84n201.59054 · Cited by 16

Wearable Sensors for Stroke Rehabilitation

Adans-Dester, C. P., Lang, C. E., Reinkensmeyer, D. J., & Bonato, P. (2022) · Springer eBooks · doi:10.1007/978-3-031-08995-4_21 · Cited by 16

Highly piezoresistive compliant nanofibrous sensors for tactile and epidermal electronic applications

Soltanian, S., Servati, A., Rahmanian, R., Ko, F., & Servati, P. (2014) · Journal of materials research/Pratt's guide to venture capital sources · doi:10.1557/jmr.2014.361 · Cited by 16

Wirelessly Accessible Sensor Populations (WASP) for Elderly Care Monitoring

Atallah, L., Lo, B. P. L., Yang, G., & Siegemund, F. (2008) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/icst.pervasivehealth2008.2777 · Cited by 15

Real-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

An Integrated Service Platform for Pervasive Elderly Care

Lin, Q., Zhang, D., Ni, H., Zhou, X., & Yu, Z. (2012) · IEEE Asia-Pacific Services Computing Conference (APSCC) · doi:10.1109/apscc.2012.21 · Cited by 14

Technologized Talk

Trauth, E., & Browning, E. R. (2018) · International Journal of Sociotechnology and Knowledge Development · doi:10.4018/ijskd.2018070101 · Cited by 13

Wearable Monitoring Devices for Assistive Technology: Case Studies in Post-Polio Syndrome

Andreoni, G., Mazzola, M., Perego, P., Standoli, C. E., Manzoni, S., Piccini, L., & Molteni, F. (2014) · Sensors · doi:10.3390/s140202012 · Cited by 14

Current and emerging technologies in endurance athletic training and race monitoring

Malkinson, T. J. (2009) · IEEE Toronto International Conference Science and Technology for Humanity · doi:10.1109/tic-sth.2009.5444434 · Cited by 16

Unveiling psychotic disorder patterns: A deep learning model analysing motor activity time-series data with explainable AI

Misgar, M. M., & Bhatia, M. P. S. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106000 · Cited by 16

Novel approaches to measure acoustic emissions as biomarkers for joint health assessment

Teague, C. N., Hersek, S., Töreyin, H., Millard-Stafford, M. L., Jones, M. L., Kogler, G. F., Sawka, M. N., & Inan, O. T. (2015) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2015.7299389 · Cited by 13

A Practical Sensor-Based Methodology for the Quantitative Assessment and Classification of Chronic Non Specific Low Back Patients (NSLBP) in Clinical Settings

Davoudi, M., Shokouhyan, S. M., Abedi, M., Meftahi, N., Rahimi, A., Rashedi, E., Hoviattalab, M., Narimani, R., Parnianpour, M., & Khalaf, K. A. (2020) · Sensors · doi:10.3390/s20102902 · Cited by 15

Virtual Reality and Occupational Therapy

Aran, O. T., Şahın, S., Torpil, B., Demirok, T., & Kayıhan, H. (2017) · InTech eBooks · doi:10.5772/intechopen.68799 · Cited by 13

Design research methods to understand user needs for an etextile knee sleeve

Byrne, C., Rébola, C. B., & Zeagler, C. (2013) · ACM International Conference on Design of Communication (SIGDOC) · doi:10.1145/2507065.2507085 · Cited by 13

Adaptive wake and sleep detection for wearable systems

Karlen, W. (2009) · reroDoc Digital Library · doi:10.5075/epfl-thesis-4391 · Cited by 13

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

Wearable Systems for Monitoring Mobility Related Activities

Zijlstra, W., Becker, C., & Pfeiffer, K. (2011) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-60960-469-1.ch011 · Cited by 12

Wearable technology as a booster of clinical care

Jonas, S., Hannig, A., Spreckelsen, C., & Deserno, T. M. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2042986 · Cited by 12

Knee Joint Angle Monitoring System Based on Inertial Measurement Units for Human Gait Analysis

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