Publications

JOURNAL PUBLICATIONS

  • Sadhu, Shehjar, Dhaval Solanki, Leslie A. Brick, Nicole R. Nugent, and Kunal Mankodiya. “Designing a Clinician-Centered Wearable Data Dashboard (CarePortal): Participatory Design Study.” JMIR Formative Research 7 (2023): e46866.
  • Chapman, Kimberly R., Taylor Maynard, Shehjar Sadhu, Kunal Mankodiya, Lisa Uebelacker, Jennifer D. Davis, Brian R. Ott, and Geoffrey Tremont. “Beta Test of a Multicomponent Mobile Health Application for Dementia Caregivers.” Journal of Technology in Behavioral Science (2023): 1-10.  
  • Sullivan, Sydney C., Kunal Mankodiya, Nicholas Constant, Charles Denby, Brian R. Ott, Laura E. Korthauer, Alyssa N. De Vito, Taylor R. Maynard, Melissa G. Zammitti, and Geoffrey Tremont. “Feasibility of a digital cognitive screening test to detect cognitive impairment.” Alzheimer’s & Dementia 19 (2023): e077838.
  • Ravichandran, Vignesh, Izabela Ciesielska-Wrobel, Md Abdullah al Rumon, Dhaval Solanki, and Kunal Mankodiya. 2023. “Characterizing the Impedance Properties of Dry E-Textile Electrodes Based on Contact Force and Perspiration” Biosensors 13, no. 7: 728. 
  • Almajidy, Rand Kasim, Soheil Mottaghi, Asmaa A. Ajwad, Yacine Boudria, Kunal Mankodiya, Walter Besio, and Ulrich G. Hofmann. “A case for hybrid BCIs: combining optical and electrical modalities improves accuracy.” Frontiers in Human Neuroscience 17 (2023): 1162712. 
  • Ravichandran, Vignesh, Shehjar Sadhu, Daniel Convey, Sebastien Guerrier, Shubham Chomal, Anne-Marie Dupre, Umer Akbar, Dhaval Solanki, and Kunal Mankodiya. 2023. “iTex Gloves: Design and In-Home Evaluation of an E-Textile Glove System for Tele-Assessment of Parkinson’s Disease” Sensors 23, no. 6: 2877. 
  • Rumon, Md Abdullah al, Gozde Cay, Vignesh Ravichandran, Afnan Altekreeti, Anna Gitelson-Kahn, Nicholas Constant, Dhaval Solanki, and Kunal Mankodiya. “Textile Knitted Stretch Sensors for Wearable Health Monitoring: Design and Performance Evaluation.” Biosensors 13, no. 1 (2022): 34.
  • Sadhu, Shehjar, Dhaval Solanki, Nicholas Constant, Vignesh Ravichandran, Gozde Cay, Manob Jyoti Saikia, Umer Akbar, and Kunal Mankodiya. “Towards a telehealth infrastructure supported by machine learning on edge/fog for Parkinson’s movement screening.” Smart Health (2022): 100351. 
  • Cay, Gozde, Vignesh Ravichandran, Shehjar Sadhu, Alyssa H. Zisk, Amy Salisbury, Dhaval Solanki, and Kunal Mankodiya. “Recent Advancement in Sleep Technologies: A Literature Review on Clinical Standards, Sensors, Apps, and AI Methods.” IEEE Access (2022). 
  • Goldstein, Allyson S., Elaine T. Kiriakopoulos, Geoffrey Tremont, Kunal Mankodiya, Sabah Ummie, and Seth Margolis. “A-156 Development of an Online Intervention to Reduce Internalized Stigma in Epilepsy.” Archives of Clinical Neuropsychology (2022).
  • Cay, Gozde, Dhaval Solanki, Md Abdullah Al Rumon, Vignesh Ravichandran, Laurie Hoffman, Abbot Laptook, James Padbury, Amy L. Salisbury, and Kunal Mankodiya. “NeoWear: An IoT-connected e-textile wearable for neonatal medical monitoring.” Pervasive and Mobile Computing (2022): 101679.
  • Firouzi, Farshad, Shiyi Jiang, Krishnendu Chakrabarty, Bahar Farahani, Mahmoud Daneshmand, Jae Seung Song, and Kunal Mankodiya. “Fusion of IoT, AI, Edge-Fog-Cloud, and Blockchain: Challenges, Solutions, and a Case Study in Healthcare and Medicine.” IEEE Internet of Things Journal (2022).
  • Mohammad M. Rahman Monjur, Joseph Heacock, Joshua Calzadillas, Mdshaad Mahmud, John Roth, Kunal Mankodiya, Edward Sazonov, and Qiaoyan Yu. Hardware Security in Sensor and Its Networks. In the Journal of Frontiers in Sensors. 2022
  • Cay, Gozde, Dhaval Solanki, Vignesh Ravichandran, Laurie Hoffman, Abbot Laptook, James Padbury, Amy L. Salisbury, and Kunal Mankodiya. “Baby-Guard: An IoT-based Neonatal Monitoring System Integrated with Smart Textiles.” In 2021 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 129-136. IEEE, 2021.
  • McLinden, J., R. J. Deligani, M. R. Abtahi, U. Akbar, K. Mankodiya, and Y. Shahriari. “Disruptions of cortico-kinematic interactions in Parkinson’s disease.” Behavioural Brain Research 404 (2021): 113153.
  • McLinden, J., R. J. Deligani, M. R. Abtahi, U. Akbar, K. Mankodiya, and Y. Shahriari. “Disruptions of cortico-kinematic interactions in Parkinson’s disease.” Behavioural Brain Research 404 (2021): 113153.
  • Cay, G., Ravichandran, V., Saikia, M.J., Hoffman, L., Laptook, A., Padbury, J., Salisbury, A.L., Gitelson-Kahn, A., Venkatasubramanian, K., Shahriari, Y. and Mankodiya, K., 2021. An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation. Journal of Signal Processing Systems, pp.1-15.
  • Saikia MJ, Besio WG, Mankodiya K. The Validation of a Portable Functional NIRS System for Assessing Mental Workload. Sensors. 2021; 21(11):3810. https://doi.org/10.3390/s21113810
  • Borgheai, Seyyed Bahram, John McLinden, Kunal Mankodiya, and Yalda Shahriari. “Frontal Functional Network Disruption Associated with Amyotrophic Lateral Sclerosis: An fNIRS-Based Minimum Spanning Tree Analysis.” Frontiers in neuroscience 14 (2020): 1376.
  • Borgheai, Seyyed Bahram, John McLinden, Alyssa Hillary Zisk, Sarah Ismail Hosni, Roohollah Jafari Deligani, Mohammadreza Abtahi, Kunal Mankodiya, and Yalda Shahriari. “Enhancing communication for people in late-stage ALS using an fNIRS-based BCI system.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, no. 5 (2020): 1198-1207.
  • Deligani, Roohollah Jafari, Sarah Ismail Hosni, Seyyed Bahram Borgheai, John McLinden, Alyssa Hillary Zisk, Kunal Mankodiya, and Yalda Shahriari. “Electrical and Hemodynamic Neural Functions in People With ALS: An EEG-fNIRS Resting-State Study.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, no. 12 (2020): 3129-3139.
  • Abtahi, Mohammadreza, Seyed Bahram Borgheai, Roohollah Jafari, Nicholas Constant, Rassoul Diouf, Yalda Shahriari, and Kunal Mankodiya. “Merging fNIRS-EEG brain monitoring and body motion capture to distinguish parkinsons disease.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, no. 6 (2020): 1246-1253.
  • Almajidy, R., Mankodiya, K., Abtahi, M., Hofmann, U.G., A Newcomer’s Guide to Functional Near Infrared Spectroscopy Experiments, IEEE Reviews in Biomedical Engineering, 2019
  • Borgheai, Seyyed Bahram; Deligani, Roohollah; McLinden, John; Zisk, Alyssa; Hosni, Sarah; Abtahi, Mohammadreza; Mankodiya, Kunal; Shahriari, Yalda. Multimodal exploration of non-motor neural functions in ALS patients using simultaneous EEG-fNIRS recording. Journal of neural engineering (2019)
  • Saikia, M.J., Besio, W., Mankodiya, K.(2018). WearLight: Towards a Wearable, Configurable Functional NIR Spectroscopy System for Noninvasive Neuroimaging. IEEE transactions on biomedical circuits and systems [in printing]. [Link]
  • Aras Dargazany, Paolo Stegagno, and Kunal Mankodiya. WearableDL: Wearable Internet of Things and Deep Learning for Big Data Analytics – Concept, Literature, and Future. In the special issue of Artificial Intelligence for Mobile Health Data Analysis and Processing, In the journal of Mobile Information Systems. Hindawi [in printing] [Link]
  • Barik, R. K., Priyadarshini, R., Dubey, H., Kumar, V., & Mankodiya, K. (2018). FogLearn: leveraging fog-based machine learning for smart system big data analytics. International Journal of Fog Computing (IJFC), 1(1), 15-34. [Link]
  • Mohammadreza Abtahi, Joshua V. Gyllinsky, Brandon Paesang, Scott Barlow, Matthew Constant, Nicholas Gomes, Oliver Tully, Susan E. D’Andrea, Kunal Mankodiya, MagicSox: An E-textile IoT system to quantify gait abnormalities, Smart Health, 2017, ISSN 2352-6483. [Link] [BibTex] [PDF]
  • Dubey, Harishchandra, Ramdas Kumaresan, and Kunal Mankodiya. “Harmonic sum-based method for heart rate estimation using ppg signals affected with motion artifacts.” Journal of Ambient Intelligence and Humanized Computing 9, no. 1 (2018): 137-150. [Link]
  • Farahani, Bahar, Farshad Firouzi, Victor Chang, Mustafa Badaroglu, Nicholas Constant, and Kunal Mankodiya. “Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare.” Future Generation Computer Systems 78 (2018): 659-676. [Link]
  • Barik, Rabindra Kumar, Harishchandra Dubey, Kunal Mankodiya, Sapana Ashok Sasane, and Chinmaya Misra. “GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis.” Journal of Ambient Intelligence and Humanized Computing (2018): 1-17. [Link]
  • Abtahi, Mohammadreza, Amir Mohammad Amiri, Dennis Byrd, and Kunal Mankodiya. “Hand Motion Detection in fNIRS Neuroimaging Data.” In Healthcare, vol. 5, no. 2, p. 20. Multidisciplinary Digital Publishing Institute, 2017. [Link]
  • Amiri, Amir Mohammad, Mohammadreza Abtahi, Nicholas Constant, and Kunal Mankodiya. “Mobile phonocardiogram diagnosis in newborns using support vector machine.” In Healthcare, vol. 5, no. 1, p. 16. Multidisciplinary Digital Publishing Institute, 2017. [Link]
  • Amiri, Amir Mohammad, Nicholas Peltier, Cody Goldberg, Yan Sun, Anoo Nathan, Shivayogi V. Hiremath, and Kunal Mankodiya. “WearSense: detecting autism stereotypic behaviors through smartwatches.” In Healthcare, vol. 5, no. 1, p. 11. Multidisciplinary Digital Publishing Institute, 2017. [Link]
  • Sharma, Vinod, Kunal Mankodiya, Fernando De La Torre, Ada Zhang, Neal Ryan, Thanh GN Ton, Rajeev Gandhi, and Samay Jain. “SPARK: personalized parkinson disease interventions through synergy between a smartphone and a smartwatch.” In International Conference of Design, User Experience, and Usability, pp. 103-114. Springer, Cham, 2014. [Link]

BOOK CHAPTERS

  • Constant, Nicholas, Gozde Cay, Vignesh Ravichandran, Rassoul Diouf, Umer Akbar, and Kunal Mankodiya. “Data analytics for wearable IoT-based telemedicine.” In Wearable Sensors, pp. 357-378. Academic Press, 2021.
  • Abtahi, Mohammadreza, Nicholas P. Constant, Joshua V. Gyllinsky, Brandon Paesang, Susan E. D’Andrea, Umer Akbar, and Kunal Mankodiya. “WearUp: Wearable smart textiles for telemedicine intervention of movement disorders.” In Wearable Technology in Medicine and Healthcare, pp. 173-192. Elsevier, 2018.
  • Barik, Rabindra K., Rakesh Kumar Lenka, Harishchandra Dubey, and Kunal Mankodiya. “TCloud: Cloud SDI Model for Tourism.” GIS Applications in the Tourism and Hospitality Industry (2018): 116.
  • Barik, Rabindra K., Harishchandra Dubey, Chinmaya Misra, Debanjan Borthakur, Nicholas Constant, Sapana Ashok Sasane, Rakesh K. Lenka, Bhabani Shankar Prasad Mishra, Himansu Das, and Kunal Mankodiya. “Fog Assisted Cloud Computing in the Era of Big Data and Internet-of-Things: Systems, Architectures, and Applications.” In Cloud Computing for Optimization: Foundations, Applications, and Challenges, pp. 367-394. Springer, Cham, 2018.
  • Barik, Rabindra K., Ankita Tripathi, Harishchandra Dubey, Rakesh K. Lenka, Tanjappa Pratik, Suraj Sharma, Kunal Mankodiya, Vinay Kumar, and Himansu Das. “Mistgis: Optimizing geospatial data analysis using mist computing.” In Progress in Computing, Analytics and Networking, pp. 733-742. Springer, Singapore, 2018.
  • Dubey, Harishchandra, Admir Monteiro, Nicholas Constant, Mohammadreza Abtahi, Debanjan Borthakur, Leslie Mahler, Yan Sun, Qing Yang, Umer Akbar, and Kunal Mankodiya. “Fog Computing in Medical Internet-of-Things: Architecture, Implementation, and Applications.” In Handbook of Large-Scale Distributed Computing in Smart Healthcare, pp. 281-321. Springer, Cham, 2017.

CONFERENCE PROCEEDINGS

  • Chatragadda, Lohith, Adrian Valdez Franco, Kunal Mankodiya, Matthew Delmonico, Dhaval Solanki. “EMGrip: Integrating an e-textile forearm band with a computer game to detect changes in grip exertion” In 2023 IEEE 20th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE, 2023.
  • Shehjar Sadhu, Vignesh Ravichandran, Nicholas Constant, Umer Akbar, Kunal Mankodiya and Dhaval Solanki. “Exploring the Impact of Parkinsons Medication Intake on Motor Exams Performed in-home Using Smart Gloves” In 2023 IEEE 20th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE, 2023.
  • Md Abdullah Al Rumon, Vignesh Ravichandran, Suparna Veeturi, Jim Owens, Deepesh Kumar, Dhaval Solanki, and Kunal Mankodiya. “ElboSense: A Novel Capacitive Strain Sensor for Textile-Based Elbow Movement Monitoring” In 2023 IEEE 20th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE, 2023.
  • Chatragadda, L., Fletcher, A., Delmonico, M., Mankodiya, K., & Solanki, D., (2023, November). VRGrip: A wireless e-textile forearm band integrated with an adaptive 3D VR game environment for grip strength training. In Undergraduate Research Technology Conference (URTC), 2023 IEEE MIT. IEEE.
  • Arianne Parvaresh-Rizi; Olivia J. Wojnilo; Joseph Confessore; Kunal Mankodiya; Dhaval Solanki; Smart Mattress Pad for Tracking Pressure Injuries in the Geriatric Population. In Undergraduate Research Technology Conference (URTC), 2023 IEEE MIT. IEEE.
  • Solanki, Dhaval, Gozde Cay, Md Abdullah Al Rumon, Vignesh Ravichandran, and Kunal Mankodiya. “A Step Towards Design and Validation of a Wearable Multi-Sensory Smart-Textile System for Respiration Monitoring.” In 2022 IEEE Sensors, pp. 1-4. IEEE, 2022.
  • G. Cay and K. Mankodiya, “SleepSmart: Smart Mattress Integrated with e-Textiles and IoT Functions for Sleep Apnea Management,” 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2020, pp. 1-2, doi: 10.1109/PerComWorkshops48775.2020.9156087.
  • Saikia, M. J., & Mankodiya, K. (2019, February). 3D-printed human-centered design of fNIRS optode for the portable neuroimaging. In Design and Quality for Biomedical Technologies XII (Vol. 10870, p. 108700Z). International Society for Optics and Photonics.
  • Saikia, M. J., Mankodiya, K., & Kanhirodan, R. (2019, March). A point-of-care handheld region-of-interest (ROI) 3D functional diffuse optical tomography (fDOT) system. In Optical Tomography and Spectroscopy of Tissue XIII (Vol. 10874, p. 108742J). International Society for Optics and Photonics.
  • Borgheai, S. B., Abtahi, M., Mankodiya, K., McLinden, J., & Shahriari, Y. (2019, March). Towards a Single Trial fNIRS-based Brain-Computer Interface for Communication. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 1030-1033). IEEE.
  • Borgheai, S. B., Deligani, R. J., McLinden, J., Abtahi, M., Ostadabbas, S., Mankodiya, K., & Shahriari, Y. (2019, March). Multimodal Evaluation of Mental Workload Using a Hybrid EEGfNIRS Brain-Computer Interface System. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 973-976). IEEE.
  • Borthakur, Debanjan, Victoria Grace, Paul Batchelor, Harishchandra Dubey, and Kunal Mankodiya. “Fuzzy C-means clustering and sonification of HRV features.” In 2019 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 53-57. IEEE, 2019.
  • Constant, N., Frink, T., Delmonico, M. J., Burbank, P., Patterson, R., Simons, J., & Mankodiya, K. (2019, June). A Smartwatch-Based Service Towards Home Exercise Therapy for Patients with Peripheral Arterial Disease. In 2019 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 162-166). IEEE.
  • J. V. Gyllinsky, J. Gannon, C. Akoiwala, C. R. Witcher, L. Parra, J. Baez, T. Frink, B. Driscoll, J. Orduz, Z. C. Aguanche, I. Beleño, G. Pérez, C. Roa, O. Gutiérrez, E. H. Garcia C., S. Scholz, K. Mankodiya, “Patient Self-Assessment of 3D Printed Upper-Extremity Prosthetics,” 2019 IEEE International Conference on Smart Computing (SMARTCOMP)”, Washington, DC, USA, 2019, pp. 205-207, doi: 10.1109/SMARTCOMP.2019.00054. [Link]
  • M. J. Saikia, G. Cay, J. V. Gyllinsky and K. Mankodiya, “A Configurable Wireless Optical Brain Monitor Based on Internet-of-Things Services,” 2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), Msyuru, India, 2018, pp. 42-48, doi: 10.1109/ICEECCOT43722.2018.9001456. [Link]
  • Borthakur, D.,  Peltier, A., Dubey, H., Gyllinsky, J., and Mankodiya, K.. “SmartEAR: Smartwatch-based Unsupervised Learning for Multi-modal Signal Analysis in Opportunistic Sensing Framework” In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2018 IEEE/ACM International Conference on, IEEE, 2018. [Link] [PDF]
  • Saikia, M. J., Manjappa, R., Mankodiya, K., & Kanhirodan, R. (2018, June). Depth Sensitivity Improvement of Region-of-Interest Diffuse Optical Tomography from Superficial Signal Regression. In Computational Optical Sensing and Imaging (pp. CM3E-5). Optical Society of America.
  • Barik, Rabindra K., Amaresh Chandra Dubey, Ankita Tripathi, T. Pratik, Sapna Sasane, Rakesh K. Lenka, Harishchandra Dubey, Kunal Mankodiya, and Vinay Kumar. “Mist Data: Leveraging Mist Computing for Secure and Scalable Architecture for Smart and Connected Health.” Procedia Computer Science 125 (2018): 647-653. [BEST PAPER AWARD] [Link] [PDF]
  • Debanjan Borthakur, Harishchandra Dubey, Nicholas Constant, Leslie Mahler, Kunal Mankodiya. SMART FOG: FOG COMPUTING FRAMEWORK FOR UNSUPERVISED CLUSTERING ANALYTICS IN WEARABLE INTERNET OF THINGS. In the Proceedings of the 2017 fifth IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, Canada [Link]
  • Barik, R. K., Dubey, H., & Mankodiya, K. (2017, November). Soa-fog: Secure service-oriented edge computing architecture for smart health big data analytics. In Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference on (pp. 477-481). IEEE. [Link]
  • Mandal, Indrani, Terry Ferguson, Gabriel De Pace, and Kunal Mankodiya. “An Emotional Expression Monitoring Tool for Facial Videos.” In International Conference on Ubiquitous Computing and Ambient Intelligence, pp. 796-807. Springer, Cham, 2017. [Link]
  • Dubey, Harishchandra, Nicholas Constant, and Kunal Mankodiya. “RESPIRE: A Spectral Kurtosis-based Method to Extract Respiration Rate from Wearable PPG Signals.” In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2017 IEEE/ACM International Conference on, pp. 84-89. IEEE, 2017. [Link]
  • Frink, T. M., Gyllinsky, J. V., & Mankodiya, K. (2017, November). Visualization of multidimensional clinical data from wearables on the web and on apps. In Undergraduate Research Technology Conference (URTC), 2017 IEEE MIT (pp. 1-4). IEEE.[Link]
  • Constant, Matthew, Leslie Brick, Nicole Nugent, Michael Armey, and Kunal Mankodiya. “Smartwatch-driven multisensory recorder: Design and testing of a smartwatch-based framework to support psychiatric disorders.” In MIT Undergraduate Research Technology Conference (URTC), 2016 IEEE, pp. 1-4. IEEE, 2016. [Link]
  • Abtahi, Mohammadreza, Gozde Cay, Manob Jyoti Saikia, and Kunal Mankodiya. “Designing and testing a wearable, wireless fNIRS patch.” In Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pp. 6298-6301. IEEE, 2016. [Link]
  • Smith, Daniel M., Mohammadreza Abtahi, Amir Mohammad Amiri, and Kunal Mankodiya. “Bivariate autoregressive state-space modeling of psychophysiological time series data.” In Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, pp. 5335-5338. IEEE, 2016. [Link]
  • Dubey, Harishchandra, Matthias R. Mehl, and Kunal Mankodiya. “Bigear: Inferring the ambient and emotional correlates from smartphone-based acoustic big data.” In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2016 IEEE First International Conference on, pp. 78-83. IEEE, 2016. [Link]
  • Amiri, Amir Mohammad, Mohammadreza Abtahi, Anna Rabasco, Michael Armey, and Kunal Mankodiya. “Emotional reactivity monitoring using electrodermal activity analysis in individuals with suicidal behaviors.” In Medical Information and Communication Technology (ISMICT), 2016 10th International Symposium on, pp. 1-5. IEEE, 2016. [Link]
  • A. Golrou, K. Maghooli, A. M. Amiri, K. Mankodiya and K. Ghaemi, “Automatic Sleep Apnea Detection Using Fuzzy Logic“, the conference proceedings of the 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB15).
  • R. K. Almajidy, Y. Boudria, U. G. Hofmann, W. Besio, K. Mankodiya, “A Multimodal 2D Brain Computer Interface.” Engineering in Medicine and Biology Society, EMBC, 2015 Annual International Conference of the IEEE. IEEE, 2015.[Link]
  • Shivayogi Hiremath, Geng Yang, and Kunal Mankodiya. “Wearable Internet of Things: Concept, architectural components and promises for person-centered healthcare.” In Wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI/IEEE 4th International Conference on, pp. 304-307. [Link]
  • Gia, T.N., Jiang, M., Rahmani, A., Westerlund, T., Mankodiya, K., Liljeberg, P., and Tenhunen, H. “Fog Computing in Body Sensor Networks: An Energy Efficient Approach”. In Wearable and Implantable Body Sensor Networks (BSN), 2015 12th International Conference on, IEEE, 2015. [Link]
  • Amir Mohammad Amiri, Amir Mohammad Rahmanisane and Kunal Mankodiya. “PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns” In Wireless Mobile Communication and Healthcare (Mobihealth), 2015 EAI/ACM 5th International Conference on, 2015. [Link] [PDF]
  • Harishchandra Dubey, Jon C. Goldberg, Mohammadreza Abtahi, Leslie Mahler, and Kunal Mankodiya. 2015. EchoWear: smartwatch technology for voice and speech treatments of patients with Parkinson’s disease. In Proceedings of the conference on Wireless Health (WH ’15). ACM, New York, NY, USA, Article 15, 8 pages. DOI:  [Acceptance Rate: 26%][Link] [PDF]
  • Harishchandra Dubey, Jing Yang, Nick Constant, Amir Mohammad Amiri, Qing Yang, and Kunal Mankodiya. 2015. FFog Data: Enhancing Telehealth Big Data Through Fog Computing. In Proceedings of the ACM/ASE BigData & SocialInformatics 2015 (ASE BD&SI ’15). ACM, New York, NY, USA, Article 14, 6 pages. DOI:  [Acceptance Rate: 29%][Link] [PDF]

ABSTRACT & SHORT PAPERS

  • Altekreeti, Afnan, Michaela Roberts, Dan Convey, Sarah Leighton, Madeline Setear, Gozde Cay, Dhaval Solanki, and Kunal Mankodiya. “NAPNEA: A Cost Effective Neonatal Apnea Detection System.” In 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 113-114. IEEE, 2021.
  • Maynard, Taylor R., Kimberly R. Chapman, Shehjar Sadhu, Travis Frink, Kunal Mankodiya, Jennifer D. Davis, Lisa Uebelacker, Brian R. Ott, and Geoffrey Tremont. “Beta test of a mobile health application for dementia caregivers.” Alzheimer’s & Dementia 17 (2021): e056312.
  • Maynard, Taylor, Travis Frink, Kunal Mankodiya, Jennifer Davis, Brian Ott, Lisa Uebelacker, and Geoffrey Tremont. “Initial Translation of a Dementia Caregiver Intervention Into a Mobile Health Application.” Innovation in Aging 4, no. Supplement_1 (2020): 274-274.
  • Abtahi, M., Constant, N., Cay, G., Akbar, U., & Mankodiya, K. (2019). The Feasibility of Using Smart Gloves to Quantify Hand Movements in Parkinson’s Disease (P2. 8-007).
  • Abtahi, M., Shahriari, Y., Saikia, M. J., Cay, G., Akbar, U., & Mankodiya, K. (2019). EEG-fNIRS Combined Neuroimaging Study on PD patients performing UPDRS Motor Tasks (P5. 8-020).
  • Barik, Rabindra, Harishchandra Dubey, Sapana Sasane, Chinmaya Misra, Nicholas Constant, and Kunal Mankodiya. “Fog2Fog: Augmenting Scalability in Fog Computing for Health GIS Systems.” In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2017 IEEE/ACM International Conference on, pp. 241-242. IEEE, 2017.
  • N. Constant , D. Borthakur, M. Abtahi, H. Dubey, K. Mankodiya, “Fog-Assisted wIoT: A Smart Fog Gateway for End-to-End Analytics in Wearable Internet of Things“, The 23rd IEEE Symposium on High Performance Computer Architecture HPCA 2017, Austin, Texas, USA.
  • Monteiro, Admir, Harishchandra Dubey, Leslie Mahler, Qing Yang, and Kunal Mankodiya. “Fit: A fog computing device for speech tele-treatments.” In Smart Computing (SMARTCOMP), 2016 IEEE International Conference on, pp. 1-3. IEEE, 2016.
  • Amiri, Amir Mohammad, Mohammadreza Abtahi, Cara Nunez, and Kunal Mankodiya. “Human motion identification using functional near-infrared spectroscopy and smartwatch.” In Medical Information and Communication Technology (ISMICT), 2016 10th International Symposium on, pp. 1-2. IEEE, 2016.
  • Mahler, Leslie, Harishchandra Dubey, C. Goldberg, and Kunal Mankodiya. “Use of smartwatch technology for people with dysarthria.” In Motor Speech Conference at. Madonna Rehabilitation Hospital, Newport Beach, CA, USA. 2016.
  • Abhinav, Kunal Mankodiya, “BEAT: A Low-Cost, Point-of-Care, Real-time Arrhythmia Monitor“. IN THE PROCEEDINGS OF NIH-IEEE 2015 Strategic Conference on Healthcare Innovations and Point-of-Care Technologies for Precision Medicine, 2015.
  • Lennon, Thomas, Trevor Bernier, Daniel Tamayo, Cody Goldberg, and Kunal Mankodiya. “Multi-sensory system for monitoring dyskinesia in movement disorders.” In Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast, pp. 1-2. IEEE, 2015.
  • Hofmann, U. G., Joshi, S., Mankodiya, K. et al. (2012). Biosignal analysis implemented on state of the art smartphone dual-core processors, 46th annual conference of the German society for Biomedical Engineering, Jena, Germany.
  • Mankodiya, K., Ali Hassan, Y., et al. (2010). A Wearable ECG Module for Long-term Recordings using a Smartphone Processor. 5th International Workshop on Ubiquitous Health and Wellness, UbiComp’10, Sept. 2010, Copenhagen, Denmark.
  • Mankodiya, K., Ali Hassan, Y., et al. (2010). Textile-based ECG Collection with Portable Dual-core Embedded System. 7th International Conference on Wearable Micro and Nano Technologies for Personalized Health, Berlin, Germany.
  • Ramrath, L., Pohl, M., Loeffler, S., Mankodiya, K., et al. (2008). Single fibre Optical Coherence Tomography for Brain Imaging – A preliminary in vitro study. Proceedings – CURAC 2008, pp. 179-180, Leipzig, Germany.
  • Mankodiya, K., Ayoub, et al. (2007). A design study on a Multisensory Cerebral Monitor. In proceedings of the 41st Annual Conference of the German Society for Biomedical Engineering (BMT2007).

BOOK

Wearable Embedded Computing for Multimodal Health Monitoring by Kunal Mankodiya and Matthias Klostermann
Title: Wearable Embedded Computing for Multimodal Health Monitoring [Link to Book Store]
Authors: Kunal Mankodiya and Matthias Klostermann
Publisher: LAP Lambert Academic Publishing
ISBN: 978-3-8465-3026-9

Blurb: The book constructs the concept of wearable health monitoring and thoroughly describes its design based on the dual-core OMAP3530 processor. One half of the book is a first-hand guide for using OMAP3530 and its development board–BeagleBoard. The book ends with easy-to-understand tutorials for BME students to program both cores of OMAP3530; ARM Cortex-A8 and DSP C64x+.