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Your search keyword '"P. Pandi"' showing total 408 results
Start Over Author "P. Pandi" Publication Type Academic Journals
408 results on '"P. Pandi"'

2. Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India).

Author

Botonis, Olivia, Mendley, Jonathan, Aalla, Shreya, Veit, Nicole, Fanton, Michael, Lee, JongYoon, Tripathi, Vikrant, Pandi, Venkatesh, Khobragade, Akash, Chaudhary, Sunil, Chaudhuri, Amitav, Narayanan, Vaidyanathan, Xu, Shuai, Jeong, Hyoyoung, Rogers, John, and Jayaraman, Arun

Abstract

The COVID-19 pandemic has challenged the current paradigm of clinical and community-based disease detection. We present a multimodal wearable sensor system paired with a two-minute, movement-based activity sequence that successfully captures a snapshot of physiological data (including cardiac, respiratory, temperature, and percent oxygen saturation). We conducted a large, multi-site trial of this technology across India from June 2021 to April 2022 amidst the COVID-19 pandemic (Clinical trial registry name: International Validation of Wearable Sensor to Monitor COVID-19 Like Signs and Symptoms; NCT05334680; initial release: 04/15/2022). An Extreme Gradient Boosting algorithm was trained to discriminate between COVID-19 infected individuals (n = 295) and COVID-19 negative healthy controls (n = 172) and achieved an F1-Score of 0.80 (95% CI = [0.79, 0.81]). SHAP values were mapped to visualize feature importance and directionality, yielding engineered features from core temperature, cough, and lung sounds as highly important. The results demonstrated potential for data-driven wearable sensor technology for remote preliminary screening, highlighting a fundamental pivot from continuous to snapshot monitoring of cardiorespiratory illnesses.

Published
2024

30. Privacy Preservation in Edge Consumer Electronics by Combining Anomaly Detection with Dynamic Attribute-Based Re-Encryption

Author

Eunmok Yang, Velmurugan Subbiah Parvathy, P. Pandi Selvi, K. Shankar, Changho Seo, Gyanendra Prasad Joshi, and Okyeon Yi

Subjects
edge consumer electronics (ECE), dynamic attribute-based re-encryption (DABRE), modified artificial neural network (MANN), Internet of medical things (IoMT), anomaly detection, Mathematics, QA1-939
Abstract

The expanding utilization of edge consumer electronic (ECE) components and other innovations allows medical devices to communicate with one another to distribute sensitive clinical information. This information is used by health care authorities, specialists and emergency clinics to offer enhanced medication and help. The security of client data is a major concern, since modification of data by hackers can be life-threatening. Therefore, we have developed a privacy preservation approach to protect the wearable sensor data gathered from wearable medical devices by means of an anomaly detection strategy using artificial intelligence combined with a novel dynamic attribute-based re-encryption (DABRE) method. Anomaly detection is accomplished through a modified artificial neural network (MANN) based on a gray wolf optimization (GWO) technique, where the training speed and classification accuracy are improved. Once the anomaly data are removed, the data are stored in the cloud, secured through the proposed DABRE approach for future use by doctors. Furthermore, in the proposed DABRE method, the biometric attributes, chosen dynamically, are considered for encryption. Moreover, if the user wishes, the data can be modified to be unrecoverable by re-encryption with the true attributes in the cloud. A detailed experimental analysis takes place to verify the superior performance of the proposed method. From the experimental results, it is evident that the proposed GWO–MANN model attained a maximum average detection rate (DR) of 95.818% and an accuracy of 95.092%. In addition, the DABRE method required a minimum average encryption time of 95.63 s and a decryption time of 108.7 s, respectively.

Published
2020
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31. 4-Methylanilinium 2-carboxyacetate

Author

S. Suresh, P. Pandi, R. Akilan, R. Mohan Kumar, and G. Chakkaravarthi

Subjects
molecular salt, crystal structure, hydrogen bonding, Crystallography, QD901-999
Abstract

In the crystal of the title salt, C7H10N+·C3H3O4−, the cations are linked to the anions via N—H...O and trifurcated N—H...(O,O,O) hydrogen bonds. The anions are linked into [010] chains by O—H...O hydrogen bonds. Taken together, these interactions generate (100) sheets.

Published
2018
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32. 2-Aminoanilinium benzene-1,2-diaminium tris(4-methylbenzene-1-sulfonate)

Author

C. Amirthakumar, P. Pandi, R. Mohan Kumar, and G. Chakkaravarthi

Subjects
molecular salt, crystal structure, hydrogen bonding, Crystallography, QD901-999
Abstract

In the title molecular salt, C6H10N22+·C6H9N2+·3C7H7O3S−, one of the cations is doubly protonated and one is singly protonated with charge balance achieved by three sulfonate anions. The crystal packing features N—H...O and C—H...O hydrogen bonds. The ions are arranged into a two-dimensional network along the (010) plane and the structure is further consolidated by weak C—H...π interactions.

Published
2018
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44. 4-Methylanilinium trichloroacetate

Author

S. Suresh, P. Pandi, R. Mohan Kumar, and G. Chakkaravarthi

Subjects
molecular salt, crystal structure, hydrogen bonding, Crystallography, QD901-999
Abstract

The asymmetric unit of the title molecular salt, C7H10N+·C2Cl3O2−, consists of two cations and two anions. In the crystal, N—H...O hydrogen bonds link the components into [100] chains incorporating R23(10) loops and weak π–π stacking [centroid-to-centroid distance = 3.865 (2) Å] is also observed.

Published
2017
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49. Health trends in Canada 1990–2019: An analysis for the Global Burden of Disease Study

Author

Kopec, Jacek A., Pourmalek, Farshad, Adeyinka, Daniel A., Adibi, Amin, Agarwal, Gina, Alam, Samiah, Bhutta, Zulfiqar A., Butt, Zahid A., Chattu, Vijay K., Eyawo, Oghenowede, Fazli, Ghazal, Fereshtehnejad, Seyed-Mohammad, Hebert, Jeffrey J., Hossain, Md Belal, Ilesanmi, Marcus M., Itiola, Ademola J., Jahrami, Haitham, Kissoon, Niranjan, Defo, Barthelemy K., Kurmi, Om P., Mokdad, Ali H., Murray, Christopher J. L., Olagunju, Andrew T., Pandi-Perumal, Seithikurippu R., Patten, Scott B., Rafiee, Ata, Rasali, Drona Prakash, Sardiwalla, Yaeesh, Sathish, Thirunavukkarasu, Solmi, Marco, Somayaji, Ranjani, Stranges, Saverio, Tonelli, Marcello, Wang, Ziyue, Yaya, Sanni, and Elgar, Frank J.

Published
2024
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