무선 의료 센서 및 방법

• Main Authors: XU SHUAI, LEE KUN HYUCK, ROGERS JOHN A, NI XIAOYUE, BABBITT EDNA, CHERNEY LEORA, MARTIN HARRIS BONNIE, ROBERTS ANGELA, JAYARAMAN ARUN, O'BRIEN MEGAN
• Format: Patent
• Language: Korean
• Published: 30.10.2020
• Subjects: DIAGNOSIS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

실시간 개인 측정치를 측정하기 위한 의료 센서 및 관련 방법에 본원에 제공된다. 의료 기기는 가속도계를 포함하는 센서를 갖는 전자 장치 및 센서로부터 외부 장치로 출력 신호를 전송하고 외부 제어기로부터 전자 장치로 명령을 수신하기 위해 전자 장치에 전자적으로 연결된 양방향 무선 통신 시스템을 포함한다. Conventional multimodal bio-sensing demands multiple rigid sensors mounting on the multiple measuring sites at the designated place and during the reserved time. A soft, and conformal device utilizing MEMS accelerometer is a game changer to this tradition. It is suitable for use in a continuous, wearable mode of operation in recording mechano-acoustic signals originated from human physiological activities. The virtue of device, including the multiplex sensing capability, establishes new opportunity space that continuously records high fidelity signal on epidermis ranges from the subtle vibration of the skin on the order of ˜5×10−3 m·s−2 to the large inertia amplitude of the body ˜20 m·s−2, and from static gravity to audio band of 800 Hz. Minimal spatial and temporal constraints of the device that operates beyond the clinical environment would amplify the benefit of unusual mechanics of the electronics. Therefore, we develop system level, wireless flexible mechano-acoustic device to record multiple physiological information from a single location, suprasternal notch. From this unique location, the 3-axis accelerometer concurrently acquires locomotion, anatomic orientation, swallowing, respiration, cardiac activities, vocal fold vibration, and other mechano-acoustic signal that falls into bandwidth of the sensor capacity that are superposed to a single stream of data. The multiple streamlines of the algorithm parse this high density of information into meaningful physiological information. The recording continues for 48 hours. We also demonstrate the devices' capability in measuring essential vital signals (heart rate, respiration rate, energy intensity) as well as unconventional bio-markers (talking time, swallow counts, etc.) from the healthy normal in numerous field studies. We validate the results against gold standards and demonstrate clinical agreement and application in the clinical sleep studies.