Despite the advances in natural language processing (NLP), neural networks and deep learning in recent years, biometric privacy is still an issue with daily used smart mobile devices. Despite the functions implemented in the devices where users can manually register biometrics to train the device, anyone can emulate the same biometrics registered used nowadays. Here, we introduce a long-term wearable, wireless stethoscope device that implements heart sound recognition as a biometric during continuous cardiac monitoring leveraging a series of feature extraction through signal processing to overcome these challenges. The wireless, skin-mounted wearable stethoscope that integrates soft electronics for continuous and remote cardiac auscultation and more secure authorization for mobile devices generates a stronger, ambulatory security system. Furthermore, the Band-Aid-like stethoscope leverages ultra-thin, highly soft, biocompatible elastomers for sensitive skin and is lightweight to give users minimum burden on the chest. Collectively, the presented study details the proposed mechanics of the envisioned design and its mechanics.