Explainable AI decision model for ECG data of cardiac disorders

1st International Congress for Innovation in Global Surgery
ABSTRACT FIRST PRESENTED: 20.04.2022

doi: 10.52648/ICIGS.1000_14

Explainable AI decision model for ECG data of cardiac disorders

Dikshant Sagar , Atul Anand, Tushar Kadian, Manu K Shetty, Anubha Gupta
SBILab, IIIT Delhi, Maulana Azad Medical College, New Delhi, India

Need of an innovation: Diagnosing heart diseases via an efficient AI model on ECG signals which can save considerable time for cardiologists resulting in effective triage at peripheral levels, and effective referral service that can save patients’ lives.

Novelty: Our study is among the first to develop AI models to diagnose cardiac disorders using ECG along with the interpretability of the AI model. We have benchmarked the performance of the recent Deep Learning architectures for the detection of cardiac disorders on a large ECG dataset, PTB-XL, that is publicly available. We have proposed our custom-designed CNN architecture (DL model) and compared its performance with these state-of-the-art methods. In order to test the generalizability of our proposed best performing DL model, we have assessed its performance on another ECG dataset of arrhythmia patients.

Utility and Impact: Our AI model can help non-cardiologists in easy diagnosis and triage of patients with chest pain and other symptoms as a screening system for cardiovascular disorders. Moreover, our model exhibits the explainability/interpretability of the disease class prediction on the ECG waveforms that are characteristic of those cardiac diseases, helping medical doctors and caregivers trust the decisions made by the AI model. Interpretability of the automated ECG AI model augments the effectiveness of cardiologists in diagnosing heart disease accurately with less human error, especially in overloaded healthcare setups in low/middle-income countries such as India. Furthermore, it helps to gain confidence and improve the trust of the cardiologist toward an automated ECG AI model. Therefore, it can be implemented in a clinical setup, where low/middle-income countries struggle with a high burden of heart disease and poor healthcare delivery infrastructure.

This AI model can be used to diagnose cardiac disorders using the web app (https://ecgdetect.sbilab.iiitd.edu.in/). The decision taken by the AI model for any particular patient’s ECG can be interpreted using the ShAP plot, highlighting the abnormal ECG waves. We made a web app as open source for anyone to access. This interpretability also works as the validation of the efficacy of the model proposed and trained in this work.

No figures
Inaugural Speech: Surgery in the face of low resources


Use of autologous platelet rich fibrin in minimally invasive treatment of perianal abscess


Machine Learning based mortality prediction model for COVID-19 patients admitted in a tertiary care hospital, New Delhi.


Perceived impact of trauma audit filters on trauma care in a tertiary care hospital: a qualitative analysis


An innovative surgical method to operate the zygomatico-maxillary-orbital complex in the absence of intraoperative computer tomography or intraoperative navigation using novel zygoma analysis and virtual surgical planning software


Carica papaya fruit in the management of chronic non healing ulcer wounds


The Buddy System: An initiative to slow down the antibiotic misuse


SOCH – India (Students’ Orbit for Collaborative Healthcare – India)


Need of an Autopsy Kit in resource limited settings


Device for non-invasive detection of meconium stained amniotic fluid


A Novel Stethoscope In COVID 19 Times


Explainable AI decision model for ECG data of cardiac disorders


Satyanveshi: A New Age Mentorship Program in Medical School


Predict Easy :Pre-eclampsia Risk Stratification Tool


SutureSure-A multifunctional laparoscopic device for simple and effortless minimally invasive surgeries


RI2 -Retract, Isolate, and Illuminate: 3 in 1 Affordable solution for effective Community Dental Program


A new approach to stoma management


Neonatal care platform to facilitate the practice of delayed cord clamping


Urine congophilia dipstick test for preeclampsia screening in resource limited settings


Lap-Pack: a low fidelity laparoscopic box trainer


DOST


Innovative multi-modality segmentation and 3d fusion in the management of giant abdominopelvic chondrosarcoma


Malunited lateral tibial plateau fracture managed by intra-articular osteotomy with help of 3D printing


SurgiPod -The Smallest Portable Modular OT


Doctors On Community Service -An attempt to shift focus from Classroom to Community among medical students


Automatic Uterine Incision closure device


Aerosol Evacuation Funnel


OsteQuant -A comprehensive bone age and bone health estimation tool


Efficacy of local application of colistimethate sodium in non-healing wounds infected by multidrug resistant bacteria


D-Cleft


MeeT: A Platform for Innovation


The Metaverse as a platform for education and training within medicine and surgery


An inexpensive surgical glove bag for gall bladder retrieval during laproscopic cholecystectomy


Frugal indigenous methods for chest tube insertion and venesection


Digital videoproctoscopy: a new diagnostic test in proctology


Identifying palliative care needs for tribal-rural populations


Training 750 General surgeons in this decade for district hospitals in Kenya


Feasibility of the frugally-engineered ‘LeVe CPAP’ from pilot data in healthy volunteers at Mengo Hospital, Uganda; with potential for use in patients with acute hypoxaemic respiratory failure associated with COVID-19 and other respiratory illnesses


The RAIS device for low-resource laparoscopic surgery: development, evaluation and future perspectives


Introduction of WALANT in Kenya: An innovative method to alleviate poverty


Condition monitoring of Ilizarov frames using vibration sensors


The Impact of Gurukool on College Students, Residents, Faculties, and Campus life in a Medical College of New Delhi


Efficacy of Platelet-Rich Plasma in Reduction of Post-Operative Split-Thickness Skin Graft Loss and Hematoma Formation: A Meta-Analysis


Spontaneous common bile duct perforation presenting as extrahepatic bilioma: a rare clinical presentation of gall stone disease


External Fixation in Polytrauma Patients from Low and Middle Income Countries – A Case Report


Lumbar Disc Degeneration, A Transdifferentiation Process-An Electron Microscopic Observation


Designing Global Surgical Technology: Benefits of a Participatory Design Approach for the Surgeon


Music as an adjunct cost-effective therapeutic innovation for Management of Pain in Trauma Patients: A Systematic Review and Meta-analysis


System Innovation in Laparoscopic Simulation Training for intra-corporeal tissue re-approximation, knot tying and suturing technologies


Reverse Innovation in Healthcare from India


Expressed breast milk: Awareness and opinion on storage and utilization among mothers in tertiary health care center, Belagavi


A New Innovation in Yogasan (A new Yogasan for quick relief of tension and sleeplessness)


A Comparative Study of Ripasa Scoring System and Ultrasonography in the Clinical diagnosis of the Acute Appendicitis in Resource Limited Settings