RTM Vital Signs LLC

This study is being conducted to evaluate the ability of the Respiratory Monitoring System (RMS) to detect and predict opioid induced respiratory depression (OIRD) in post-operative surgical patients managed with opioid medications. The ability of the RMS to detect OIRD will be compared to the detection of OIRD using a commercial capnometer, pulse oximeter, airflow monitor, and breathing volume monitor .
We hypothesize the RMS will detect the onset and progression of a true OIRD event with high sensitivity, specificity, positive predictive value, and negative predictive value. A true OIRD event will be determined by the reference device trend data.
RTM Vital Signs, LLC is developing a Respiratory Monitoring System (RMS) that consists of a wearable Trachea Sound Sensor (TSS) and a software application that measures the sounds of air flow within the trachea during inhalation and exhalation and cardiovascular sounds. The sounds of airflow in the trachea are used to continuously monitor a patient's respiratory rate (RR), relative tidal volume (TV), relative minute ventilation (MV), pattern of breathing, duration of apnea in a healthcare setting. The cardiovascular sounds are used to continuously monitor pulse rate and PR variability.
Once commercialized, clinicians will observe the RMS trend data on a smart phone, bedside display, or electronic medical record to determine whether the patient is breathing within their normal range, breathing more than their normal range (hyperventilation), breathing less than their normal range (hypoventilation), or not breathing (apnea). Real-time alerts and alarms will be based upon trends in a patient's rate and depth of breathing, number and duration of apnea events, RTM's Risk-Index-Score, and RTM's machine learning/artificial intelligence methods.

An observational study will be conducted in approximately 14 participants to evaluate the ability of a wearable, wireless acoustic Respiratory Monitoring System (RMS) to accurately measure a participant's respiratory rate, tidal volume, minute ventilation, and duration of apnea in a noisy environment. Sensor accuracy will be measured with adaptive filtering and active noise cancellation turned on versus turned off.

The goal of this observational study is collect data to evaluate the efficacy of the RMS system in monitoring, recording, and presenting respiratory function data to the user in participants scheduled for pulmonary function testing (PFT).
Participants will complete:
* 60 episodes of data collection with a decreased tidal volume
* 30 episodes of data collection with an increased tidal volume
* 80 episodes with normal tidal volume breathing
The TSS will continuously transmit sound data to an adjacent personal computer (PC) via Bluetooth Low-Energy (BLE). TSS trachea sound data will be recorded on the PC and then transmitted via a secure wireless network to an RTM cloud account that is HIPPA compliant.
Reference breathing data will be simultaneously recorded using an FDA approved hospital ventilator (Hamilton Medical, HAMILTON-C1) with a calibrated pneumotach, capnometer, and a tight-fitting face mask. This system accurately measures and records a spontaneously breathing patient's RR, TV, MV, and end-tidal carbon dioxide concentration.