The system, which the researchers call FiWAS, rests on two core fiber technologies developed at the National University of Singapore. The first is a contact microphone drawn as a fiber roughly 150 micrometers in diameter, comparable in thickness to a coarse human hair. The fiber is built from piezoelectric materials, meaning that mechanical pressure from sound vibrations generates an electrical signal within the fiber itself. Because the fiber is sewn, knitted, or woven directly into fabric and sits in intimate contact with the skin, it picks up vibrations traveling through the body rather than sound waves propagating through the air. This contact-based approach is critical: it allows the fiber to overcome the acoustic impedance mismatch that normally reflects most body-borne sound energy back into the tissue, and it inherently rejects airborne environmental noise, one of the biggest obstacles to reliable auscultation outside a quiet clinic room.

The second key component is a knitted fiber computer approximately 500 micrometers in diameter. This is not a conventional rigid chip attached to clothing but a functional digital device in fiber form, capable of real-time signal processing of the acoustic data streaming in from the microphone fibers. The fiber computer also handles wireless communication, transmitting processed cardiopulmonary sounds over Bluetooth to a mobile device. By embedding both the sensing and the computing elements as fibers, the researchers avoided the bulky rigid modules, wires, and adhesive patches that have plagued earlier attempts at wearable acoustic monitoring. The result is a garment that looks and behaves like ordinary clothing while functioning as a distributed, multi-point listening array across the torso.

Acoustic sensing of the body is a deceptively hard engineering problem. Heart sounds occupy low frequencies, and pathological features such as murmurs and gallops can be subtle. Lung sounds, including the crackles that suggest fluid accumulation, are transient and easily masked by motion artifacts, ambient noise, and the rustle of clothing itself. Conventional electronic stethoscopes address some of these issues with rigid chest pieces and careful manual placement, but they capture sound at a single point for a limited time. The fiber approach inverts this logic: instead of one high-quality microphone applied briefly, the garment deploys an array of modest but robust contact microphones distributed across the chest, capturing sound continuously and from multiple anatomical locations simultaneously.

The clinical validation of FiWAS involved two very different patient populations. In one study, the team monitored 10 adult patients with heart failure, a condition in which the failing heart often produces characteristic extra sounds, including the S3 gallop, and in which fluid backing up into the lungs generates crackles on auscultation. In a second study, the garment was used on 20 neonates, an especially demanding application because newborns are tiny, fragile, and impossible to instruct. The researchers report that the system captured cardiopulmonary sounds in both groups, including qualitative examples of pathological acoustic features such as cardiac murmurs, S3 gallops, and pulmonary crackles. Comparative testing against a digital stethoscope confirmed that the garment could suppress environmental noise and achieve high-fidelity sound capture, suggesting that clothing-based auscultation can match the diagnostic quality of a handheld clinical instrument.

One of the most striking capabilities demonstrated in the study is spatial sound mapping. Because the microphone fibers are distributed across the garment as an array, the system does not merely record a single sound channel; it can localize where within the chest a particular acoustic event originates. This matters clinically. Cardiac murmurs, for example, radiate from specific valve locations, and abnormal lung sounds concentrate in particular lobes or regions affected by disease. By mapping the intensity and timing of sounds across the fabric array, the garment can provide localized diagnostic information, essentially producing an acoustic image of cardiac and pulmonary function that a conventional stethoscope, applied point by point, can only approximate through the clinician’s memory and skill.

The significance of the work is amplified by the epidemiological backdrop. Cardiopulmonary diseases remain the leading causes of death and disability worldwide, and heart failure alone affects tens of millions of people, with outcomes that studies have shown can be worse than those of many common cancers. Early detection and continuous monitoring are known to improve outcomes, but current tools are episodic. A patient with worsening heart failure may develop increasing crackles and a new S3 gallop days before symptoms become severe enough to prompt a hospital visit. A garment that listens around the clock could flag these acoustic warning signs remotely, allowing clinicians to intervene before decompensation, potentially reducing hospitalizations and saving lives.

The neonatal application deserves particular attention. Premature and newborn infants in intensive care require constant monitoring, yet the devices attached to them, from electrodes to pulse oximeter probes, are adhesive, rigid, and can injure delicate skin. A soft fabric garment with embedded fiber sensors offers a gentler alternative, capturing heart and breath sounds continuously without any adhesive contact. The study’s demonstration of wireless neonatal monitoring suggests a path toward monitoring that is both more comfortable for the infant and richer in information for the clinical team, complementing existing physiological measurements with continuous acoustic data.

The broader context is the rapidly maturing field of functional fibers and textile electronics. Over the past two decades, researchers have learned to draw multimaterial fibers that can sense, compute, store energy, and communicate, and recent advances have produced fiber batteries, fiber displays, and even single-fiber computers capable of machine-learning inference within fabric networks. The FiWAS work represents a translation of these materials-science advances into a concrete clinical application with human validation data, a step that many textile electronics concepts have not yet taken. The researchers have also made their analysis code publicly available through GitHub and their raw data through Figshare, supporting reproducibility and enabling other groups to build on the platform.

Challenges remain before such garments become routine clinical or consumer products. Long-term durability through washing and daily wear, regulatory approval as a medical device, reimbursement pathways, and the development of robust algorithms that can automatically interpret continuous streams of heart and lung sounds all lie ahead. The current study reports qualitative examples of pathological sounds rather than establishing diagnostic performance metrics for disease detection, so larger and longer trials will be needed to define exactly how the technology should be used in practice. Nevertheless, the demonstration that a garment can capture clinically meaningful cardiopulmonary sounds, suppress environmental noise, map sounds spatially, and work in everyone from heart failure patients to newborns marks a genuine milestone. The humble stethoscope, invented in 1816, may finally be evolving into something that never needs to be picked up at all, because the shirt you are already wearing is doing the listening.

Subject of Research: An all-fiber wearable auscultation garment for continuous wireless monitoring of cardiopulmonary sounds

Article Title: All-fiber wireless auscultation garment for cardiopulmonary diagnostics

Article References: Li, Q., Li, Z., Zhang, X., Akgun, H., Chaturvedi, S., Teo, H. K., Anbalakan, K., Sim, D., Chew Yun Chi, K. M., Yeo, K. T., Hausenloy, D. J., & Khudiyev, T. (2026). All-fiber wireless auscultation garment for cardiopulmonary diagnostics. Nature Cardiovascular Research. https://doi.org/10.1038/s44161-026-00882-8

Image Credits: AI Generated

DOI: 10.1038/s44161-026-00882-8

Keywords: wearable sensors, fiber electronics, auscultation, heart failure, cardiopulmonary monitoring, smart textiles, piezoelectric fibers, neonatal monitoring, heart sounds, digital health, acoustic sensing, fiber computer