Biomedical Engineering, Electrical and Electronic Engineering, Multidisciplinary, Control and Systems Engineering
7
Scopus Publications
79
Scholar Citations
6
Scholar h-index
2
Scholar i10-index
Scopus Publications
Optimizing Coronary Artery Bypass Grafting Parameters for Failure Prevention Using Computational Fluid Dynamics Shraman Maiti, Mukesh Kumar, Adarsha Narayan Mallick, Mahir Kumar, Ashish Kumar Sahani Journal of Medical Devices, 2025 Coronary artery bypass grafting (CABG) is a surgical procedure aimed at improving blood circulation to the heart muscle in individuals with having coronary artery disease. This involves transplanting a healthy artery from elsewhere in the body to bypass a blocked coronary artery. In this study, computational fluid dynamics (CFD) simulations were performed using ansysfluent software to examine the impact of CABG on partially blocked coronary arteries. This analysis considered laminar flow conditions with the application of the no-slip boundary condition and took into account the Reynolds number parameter, considering momentum and transport properties within the specified geometric, material, and physical constraints of blockage. This paper aims to mitigate coronary artery failure by optimizing surgical techniques and leveraging insights from failure studies. Here, the chosen model contributes to establishing optimal surgical protocols for CABG, ensuring the long-term patency of the graft. Through CFD analysis, blood flow dynamics in the artery postgrafting have been evaluated for varied parameters such as blockage size and position, constituting the optimization study. Through this study, optimal outcomes are achieved when the graft is positioned appropriately to maintain laminar flow conditions within the artery. The graft should be positioned with an accurate assessment of blockage size and shape to minimize the risk of heart failure due to reduced flow velocity and wall shear stress.
Performance Evaluation of Neonatal Anti-Pressure Ulcer Bed Using a Novel Force-Sensing Array Adarsha Narayan Mallick, Bijit Basumatary, Mukesh Kumar, Kamaldeep Arora, Durba Pal, Ashish Kumar Sahani Journal of Medical Devices, 2024 Pressure ulcer (PU) is a serious issue among newborns, particularly those who are premature and have medical conditions that require hospitalization. Existing conventional beds require modifications that can reduce the chance of PU and the extra effort of nursing staff. In this work, a force-sensing resistor array (FSRA) mattress is implemented that detects high-pressure points. The microcontroller processes the data that are collected from the FSRA using an electronic circuit based on the principle of voltage divider circuits. The multiplexer identifies the pixels of high-pressure points and plots the heat maps using matlab. The results of the FSRA mattress use an alternately inflating and deflating pressure channel bed to act as an anti-PU bed and compare it with the currently deployed bed. The demonstrated work was validated using the finite element modeling framework. This anti-PU bed is effective in detecting high-pressure points; based on that, chances of PUs in neonates can be prevented. The performance evaluation of the designed and tested anti-PU bed with more accuracy and automatically varies the contact position to reduce the efforts made by the nursing staff. This innovation significantly improves the quality of life as compared to the conventional methods to avoid PUs for neonatal intensive care units (NICUs).
Rapid self-healing and superior toughness in ionically crosslinked polymer ionogels and strain sensing applications Anil Kumar Padhan, Diksha Sharma, Tino S. Thomas, Aayushi Prakash Sinha, Adarsha Narayan Mallick, Debaprasad Mandal Journal of Materials Chemistry A, 2024 The designed ionogel comprising poly(vinyl imidazole) and polyphosphoric acid exhibits rapid self-healing with robust mechanical properties that could further be enhanced by incorporation of Ca-ions into the matrix.
Deep Learning Approach for Gait Detection for Precise Stimulation of FES to Correct Foot Drop Bijit Basumatary, Rajat Suvra Halder, Chirag Singhal, Adarsha Narayan Mallick, Arun Khokhar, Rajinder Bansal, Ashish Kumar Sahani IETE Technical Review Institution of Electronics and Telecommunication Engineers India, 2024 Automatic detection of foot lift is one of the most important events of Functional Electrical Stimulation (FES). The FES system is used for the correction of Foot Drop (FD). FD is a condition where a person is unable to lift their foot from the ground due to complications that may arise after a stroke or spinal cord injury. It is crucial to accurately detect the patient’s foot lift event when correcting FD through FES as the pulse should only be applied when the person lifts their foot. The FES system applies the electrical pulse based on the input of the foot-lift detection sensor. A conventional FES system employs a sensor that is affixed on the heel to detect the lifting of the foot, but the connecting cables make the patient uncomfortable. To address this problem, IMU (Inertial Measurement Unit)-based sensors have been used, but they have some disadvantages, such as false triggering, low accuracy, and calibration. In this paper, we have presented an algorithm for detecting foot-lift events with high accuracy using a single IMU sensor through the application of deep learning techniques. We have recorded data from 10 healthy people and 10 foot drop patients. We have implemented Artificial Neural Network (ANN), K-Nearest Neighbour (KNN), and Convolutional Neural Network (CNN) models on these data and compared the results of these three models. The proposed algorithm aims to improve the precision of stimulation in the FES system.
Design and Testing of Pressure Ulcers Preventive Bed for Neonates in Neonatal Intensive Care Units Adarsha Narayan Mallick, Mukesh Kumar, Bijit Basumatary, Kamaldeep Arora, Ashish Kumar Sahani IEEE Transactions on Medical Robotics and Bionics, 2023 In neonatal intensive care units (NICUs), preterm infants lie down immobile for long hours in a particular position, which makes them susceptible to develop pressure ulcers (PUs). These are developed due to continuous constant contact pressure generated by the self-weight of the infants with bed surfaces on their sensitive skin, which is 60% less than the thickness of an adult and hampers blood flow from the subcutaneous areas. Therefore, it is necessary to change the posture in a periodic manner. Hospitals manage the position changes by nursing staff, which is of limited effect and puts additional loads on them. Hence, in this paper, an anti-pressure ulcer bed was designed and tested to prevent pressure ulcers and also help in reducing the effort of nurses. The contact pressure of both the neonatal phantom and neonatal baby with the silicone-made bed surface was automatically varied by fluid pressure in the multi-channels based on the actuation mechanism (which rises alternately in inflated regions and falls in deflated regions), and it was measured using the force sensors. The demonstrated work was carried out in finite element modeling (FEM) using Abaqus to validate the results. We anticipate that it’ll reduce the risk of pressure ulcers, confirming the designed bed’s performance.
Finite Element Modeling of a Pressure Ulcers Preventive Bed for Neonates Adarsha Narayan Mallick, Mukesh Kumar, Kamaldeep Arora, Ashish Kumar Sahani Bhi Bsn 2022 IEEE EMBS International Conference on Biomedical and Health Informatics and IEEE EMBS International Conference on Wearable and Implantable Body Sensor Networks Proceedings, 2022 The continual pressure on a skin surface can hamper blood supply from the subcutaneous regions. Blockage of blood supply is the primary reason for the development of Pressure Ulcers (PUs) in patients admitted to hospitals with impaired mobility. The dermal layer of a preterm neonate is less than 60% of the thickness of an adult and has a much higher susceptibility to developing pressure ulcers. In Neonatal Intensive Care Units (NICUs), babies lie down immobile for long hours in fixed positions. Hence, there is a 23% prevalence of PUs in NICUs worldwide. Therefore, it is advised that nursing staff should ensure frequent posture changes to avoid the development of PUs. This leads to an increased workload on them. We designed a Finite Element Modeling (FEM) of a neonatal anti-PU bed made from elastic material with alternating pressure channels and carried out simulations in ABAQUS CAE to validate this problem. We first simulated a neonatal phantom made from hyper-elastic material and laid it down on a flatbed. The pressure on the skin was taken as the baseline. We found that by activating alternating channels, the pressure increases in inflated regions and decreases in deflated regions compared to the baseline. As the inflation and deflation channels will be alternating, no long-term high-pressure points will be formed under the skin.
Automatic Pasteurized Formula Milk Preparation Machine with Automatic Sterilized Containers Adarsha Narayan Mallick, Mohit Kumar, Amanpreet Chander, Ravinder Kumar, Kamaldeep Arora, Ashish Kumar Sahani Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 2022 Children are the future of our generation, so reducing child mortality is very critical in developing countries. There are lots of asserting factors of child mortality but malnutrition is one of the prominent factors. Medically, it has been proven that breastfeeding is one of the sources of nutrients and it is being always appreciated to have mothers' milk to a child in the early days. However, with the increasing participation of women in the workforce, the child care load on breastfeeding mothers is very high. This forces many of them to take long career breaks. Here, in this paper, we have an automatic formula milk dispensing unit that will be used in Neonatal Intensive Care Units (NICUs) and for breastfeeding mothers at home. The device has inbuilt sterilization and pasteurization units that would maintain the overall hygiene and sterilization of baby milk bottles. Currently, the device has a few buttons through which we can control the functionality of the device.
RECENT SCHOLAR PUBLICATIONS
AI-Enhanced FES for Foot Drop: A Novel Biphasic Charge-Balanced Stimulation Approach B Basumatary, RS Halder, AN Mallick, A Khokhar, R Bansal, R Kumar, ... IEEE Access , 2025 2025.0
Optimizing Coronary Artery Bypass Grafting Parameters for Failure Prevention Using Computational Fluid Dynamics S Maiti, M Kumar, AN Mallick, M Kumar, AK Sahani Journal of Medical Devices 19 (2), 021010 , 2025 2025.0
Design, testing and performance optimization of pressure ulcer prevention bed for neonates AN Mallick 2025.0
Deep Learning Approach for Gait Detection for Precise Stimulation of FES to Correct Foot Drop B Basumatary, RS Halder, C Singhal, AN Mallick, A Khokhar, R Bansal, ... IETE Technical Review 41 (6), 683-694 , 2024 2024.0 Citations: 2
Performance Evaluation of Neonatal Anti-Pressure Ulcer Bed Using a Novel Force-Sensing Array AN Mallick, B Basumatary, M Kumar, K Arora, D Pal, AK Sahani Journal of Medical Devices 18 (3), 031004 , 2024 2024.0 Citations: 2
Investigation of Failure Prevention Study of Coronary Artery Bypass Grafting Using Computational Fluid Dynamics Approach AN Mallick, M Kumar, R Nadda, KM Kumar, S Ralhan, B Mohan, ... Proceedings of the 27th National and 5th International ISHMT-ASTFE Heat and … , 2024 2024.0 Citations: 1
Rapid self-healing and superior toughness in ionically crosslinked polymer ionogels and strain sensing applications AK Padhan, D Sharma, TS Thomas, AP Sinha, AN Mallick, D Mandal Journal of Materials Chemistry A 12 (16), 9508-9517 , 2024 2024.0 Citations: 27
A review on the role of soft robotics in medical assistive devices AN Mallick, A Chander, AP Choudhari, HK Chattar, A Sahani Int J Autom Smart Technol 13, 24162416 , 2023 2023.0 Citations: 8
Design and testing of pressure ulcers preventive bed for neonates in neonatal intensive care units AN Mallick, M Kumar, B Basumatary, K Arora, AK Sahani IEEE Transactions on Medical Robotics and Bionics 5 (2), 421-428 , 2023 2023.0 Citations: 9
Risk factors for developing pressure ulcers in neonates and novel ideas for developing neonatal antipressure ulcers solutions AN Mallick, M Bhandari, B Basumatary, S Gupta, K Arora, AK Sahani Journal of Clinical Neonatology 12 (1), 27-33 , 2023 2023.0 Citations: 16
Finite element modeling of a pressure ulcers preventive bed for neonates AN Mallick, M Kumar, K Arora, AK Sahani 2022 IEEE-EMBS International Conference on Wearable and Implantable Body … , 2022 2022.0 Citations: 8
Automatic pasteurized formula milk preparation machine with automatic sterilized containers AN Mallick, M Kumar, A Chander, R Kumar, K Arora, AK Sahani 2022 44th Annual International Conference of the IEEE Engineering in … , 2022 2022.0 Citations: 6
Assessing the Efficacy of Anti-Pressure Ulcer Beds for Neonates with Clinical Data Analysis AN Mallick, S Kumari, M Kumar, B Basumatary, K Arora, D Pal, A Sahani Available at SSRN 4865336 , 0
MOST CITED SCHOLAR PUBLICATIONS
Rapid self-healing and superior toughness in ionically crosslinked polymer ionogels and strain sensing applications AK Padhan, D Sharma, TS Thomas, AP Sinha, AN Mallick, D Mandal Journal of Materials Chemistry A 12 (16), 9508-9517 , 2024 2024.0 Citations: 27
Risk factors for developing pressure ulcers in neonates and novel ideas for developing neonatal antipressure ulcers solutions AN Mallick, M Bhandari, B Basumatary, S Gupta, K Arora, AK Sahani Journal of Clinical Neonatology 12 (1), 27-33 , 2023 2023.0 Citations: 16
Design and testing of pressure ulcers preventive bed for neonates in neonatal intensive care units AN Mallick, M Kumar, B Basumatary, K Arora, AK Sahani IEEE Transactions on Medical Robotics and Bionics 5 (2), 421-428 , 2023 2023.0 Citations: 9
A review on the role of soft robotics in medical assistive devices AN Mallick, A Chander, AP Choudhari, HK Chattar, A Sahani Int J Autom Smart Technol 13, 24162416 , 2023 2023.0 Citations: 8
Finite element modeling of a pressure ulcers preventive bed for neonates AN Mallick, M Kumar, K Arora, AK Sahani 2022 IEEE-EMBS International Conference on Wearable and Implantable Body … , 2022 2022.0 Citations: 8
Automatic pasteurized formula milk preparation machine with automatic sterilized containers AN Mallick, M Kumar, A Chander, R Kumar, K Arora, AK Sahani 2022 44th Annual International Conference of the IEEE Engineering in … , 2022 2022.0 Citations: 6
Deep Learning Approach for Gait Detection for Precise Stimulation of FES to Correct Foot Drop B Basumatary, RS Halder, C Singhal, AN Mallick, A Khokhar, R Bansal, ... IETE Technical Review 41 (6), 683-694 , 2024 2024.0 Citations: 2
Performance Evaluation of Neonatal Anti-Pressure Ulcer Bed Using a Novel Force-Sensing Array AN Mallick, B Basumatary, M Kumar, K Arora, D Pal, AK Sahani Journal of Medical Devices 18 (3), 031004 , 2024 2024.0 Citations: 2
Investigation of Failure Prevention Study of Coronary Artery Bypass Grafting Using Computational Fluid Dynamics Approach AN Mallick, M Kumar, R Nadda, KM Kumar, S Ralhan, B Mohan, ... Proceedings of the 27th National and 5th International ISHMT-ASTFE Heat and … , 2024 2024.0 Citations: 1
AI-Enhanced FES for Foot Drop: A Novel Biphasic Charge-Balanced Stimulation Approach B Basumatary, RS Halder, AN Mallick, A Khokhar, R Bansal, R Kumar, ... IEEE Access , 2025 2025.0
Optimizing Coronary Artery Bypass Grafting Parameters for Failure Prevention Using Computational Fluid Dynamics S Maiti, M Kumar, AN Mallick, M Kumar, AK Sahani Journal of Medical Devices 19 (2), 021010 , 2025 2025.0
Design, testing and performance optimization of pressure ulcer prevention bed for neonates AN Mallick 2025.0
Assessing the Efficacy of Anti-Pressure Ulcer Beds for Neonates with Clinical Data Analysis AN Mallick, S Kumari, M Kumar, B Basumatary, K Arora, D Pal, A Sahani Available at SSRN 4865336 , 0
