{"id":"07401","slug":"wearable-acoustic-system-for--07401","source":{"id":"07401","dataset":"techtransfer","title":"Wearable Acoustic System for Real-Time Prediction and Prevention of Bone Fractures","description_":"<p>This invention is a wearable system that continuously monitors bone health using acoustic emission sensors placed directly on a patient&#39;s body. By capturing the microscopic crackling noises generated as a bone nears failure, the technology accurately forecasts and alerts the patient before a catastrophic fracture occurs.</p><p><h2>Description</h2>The technology operates by detecting acoustic emissions (AE); ultrasonic crackling sounds - that naturally occur within quasi-brittle materials like bone as they experience a progression toward structural failure. The system utilizes one or more wearable AE sensors (such as piezoelectric transducers or microphones) paired with reference sensors placed to minimize background noise. These sensors maintain constant acoustic connection with the bone over a prolonged duration to capture data on cumulative acoustic energy, total events, and amplitude rates in real time.\r\n\r\nThe captured data is evaluated by specialized software algorithms stored in electronic circuitry, such as a connected personal smartphone or a customized processing unit. The system calculates the rate and amplitude of variables, projecting a declining trend line where the inverse AE energy rate approaches zero. This analysis predicts the remaining loading cycles and time to failure under the patient’s typical movement conditions, enabling a dynamic warning system that signals when loading must cease to prevent structural collapse.</p><p><h2>Applications</h2>- Monitoring bone health in patients with osteoporosis to anticipate fracture risk before clinical symptoms arise.\r<br>- Assessing bone integrity in cancer patients with metastatic bone disease, where early fracture prediction is critical.\r<br>- Supporting post-operative rehabilitation by providing continuous feedback on bone healing status following orthopedic surgeries.\r<br>- Use in clinical trials to objectively assess the efficacy of bone-strengthening therapeutics and interventions through non-invasive monitoring.\r<br>- Integration into personalized healthcare platforms to enable remote bone health management and reduce hospital visits.\r<br>- Providing clinicians with a diagnostic tool for early-stage detection of bone degradation in at-risk populations.</p><p><h2>Advantages</h2>- Non-Invasive Continuous Monitoring: The wearable form factor enables long-term, real-time assessment without discomfort or disruption to patient activities.\r<br>- Early Fracture Prediction: By detecting micro-damage signals before overt fractures occur, the system facilitates timely preventative actions, improving patient outcomes.\r<br>- High Sensitivity and Specificity: Advanced signal processing reduces noise interference, increasing the reliability of acoustic emission data interpretation.\r<br>- Adaptability: Modular sensor design allows customization for different anatomical sites and disease states, accommodating a broad patient demographic.\r<br>- Enhanced Patient Engagement: Real-time alerts empower patients to manage their bone health proactively in collaboration with healthcare providers.\r<br>- Data Integration Capability: Compatibility with personal electronic devices promotes seamless data collection, storage, and remote clinical review.</p><p><h2>Invention Readiness</h2>The technology has progressed through prototype development stages, including experimental validation of the acoustic emission detection capability and initial signal processing methods to enhance data accuracy. Current efforts focus on refining system integration, optimizing wearable sensor ergonomics, and conducting comprehensive clinical studies to further validate predictive algorithms. Future studies will emphasize large-scale clinical trials to establish efficacy, safety, and user compliance under real-world conditions, alongside advancement toward regulatory clearances and commercial deployment.</p><p><h2>IP Status</h2>Patent Pending</p><p></p>","tags":["Personalized Medicine"],"file_number":"07401","collections":[{"key":516,"name":"Regenerative Medicine"},{"key":555,"name":"Women's & Reproductive Health"}],"meta_description":"Wearable acoustic sensors predict bone fractures by analyzing micro-crack sounds, enabling early warnings and noninvasive monitoring.","image_url":"","apriori_judge_output":"{\"scores\":{\"novelty\":4.0,\"potential_impact\":4.0,\"readiness\":3.0,\"scalability\":2.0,\"timeliness\":4.0},\"weighted_score\":3.25,\"risks\":[\"Clinical validation and regulatory hurdles for medical device\",\"Need for large-scale validation in diverse populations\",\"Complexity of wearables: battery life, data privacy, and interoperability\",\"Potential competition from existing fracture risk assessment tools\",\"Reimbursement pathway and demonstrated cost-effectiveness\"],\"one_sentence_take\":\"Strong novelty and impact with promising readiness, but scalability and regulatory challenges require attention for commercialization.\"}","lead_inventor_name":"Andrew Bunger","lead_inventor_dept":"Civil & Environmental Engineering","technology_type":"Medical Device","technology_subtype":"Monitoring Medical Device","therapeutic_areas":["Musculoskeletal","Oncology"],"therapeutic_indications":["Osteoporosis","Prostate cancer / adenocarcinoma"],"custom_tags":[],"all_tech_innovators":["Andrew P. Bunger","Lan Gardner Coffman","Charles Clemenes Hager","William Harbert"],"date_submitted":"2025-11-04","technology_readiness_level":"5. Advanced prototype validation"},"highlight":{},"matched_queries":null,"score":0.0}