Home oxygen therapy (HOT) is an important treatment for patients with chronic respiratory diseases. Recently, telemonitoring of HOT has been become available. In the present study, we examined whether telemonitoring of HOT could improve health-related quality of life (HRQOL). Twelve patients receiving HOT participated in this study. The oxygen flow rates, use of the oxygen concentrator, and the values of percutaneous arterial oxygen saturation measured by each patient with a pulse oximeter were checked using a telemonitoring system for a period of one month. Interventions based on the results obtained were carried out in order to optimize oxygen use in this patient cohort. We evaluated the results of the SF-36 questionnaire before the initiation of telemonitoring and at 3 months after completion of the study. We identified significant improvements in SF-36 sub-scores after completion of this intervention. We conclude that telemonitoring may be a useful method to improve HRQOL.

Home oxygen therapy allows patients requiring long-term oxygen therapy to receive care at home and helps improve the prognosis of patients with chronic respiratory failure. The usage conditions of oxygen concentrators, which are used to supply gaseous oxygen, and the effects of oxygen inhaled at a prescribed flow rate have not been confirmed in adequate detail. As a result of advances in information and communications technology, internet communication functions can now be incorporated into medical devices installed in patients’ homes. This allows time-series data on oxygen concentrator usage and biological variables to be stored on a server and accessed remotely by health care providers, enabling them to check the validity of home oxygen therapy and intervene appropriately. In Japan, telemonitoring of home oxygen therapy is covered by social insurance systems and is recognized as a new medical technology. This article reviews the usefulness of telemonitoring of home oxygen therapy and describes the cloud-based analytical system we have developed.

Background/Objectives: Continuous positive airway pressure (CPAP) is used to treat patients with obstructive sleep apnea (OSA) and has proven clinical efficacy for this condition. However, the objective method to determine the appropriate CPAP level for treatment is still unclear. Patients with OSA typically exhibit irregular respiratory efforts due to obstruction or narrowing of the upper airway during sleep. Treatment with an adequate CPAP level alleviates airway obstruction or narrowing, leading to more regular respiratory patterns. We aimed to develop an objective CPAP titration method using the respiratory regularity index (RRI) derived from respiratory movements. Methods: We conducted daytime CPAP titration in 10 patients with OSA. Respiratory movements were recorded by inductance plethysmography in three conditions: wake, apnea, and during CPAP therapy. The RRI of respiratory movements was calculated in each condition, and the CPAP level with the lowest RRI was identified as the appropriate air pressure level in each patient. CPAP therapy at the appropriate level determined by the study method was conducted for 2 months, after which efficacy was assessed by night polysomnography in the hospital. Results: The fixed air pressure level for the CPAP device was determined as 7.8 ± 0.7 cmH₂O based on our daytime CPAP titration method using the RRI. The apnea–hypopnea index improved significantly from before CPAP therapy (43.1 ± 15.3 h⁻¹) to during CPAP therapy (3.0 ± 2.1 h⁻¹) (p < 0.006). The Epworth Sleepiness Scale score decreased significantly during CPAP therapy. The lowest percutaneous arterial oxygen saturation values in each sleep stage also improved significantly with the CPAP determined by our daytime CPAP titration method. Conclusions: The study findings showed that our daytime CPAP titration method based on the RRI is an effective method for determining individualized appropriate CPAP levels in patients with OSA. The RRI-based daytime CPAP titration method offers a simplified approach to determining the adequate CPAP level for patients with OSA.

Heart rate variability (HRV) is measured to analyze autonomic nervous system function in humans, and pulse rate variability (PRV) assessed using the photoplethysmography method with a pulse oximeter has been proposed as a surrogate for HRV. To examine whether PRV is compatible with HRV in patients with chronic obstructive pulmonary disease (COPD), we simultaneously measured HRV with an electrocardiogram and PRV with a pulse oximeter in patients with COPD, and compared low-frequency and high-frequency components computed from HRV and PRV as indicators of autonomic nervous system function. In a Bland–Altman analysis, the low-frequency component computed from HRV exhibited good consistency with that computed from PRV. The high-frequency component showed a significant fixed error but relatively good consistency. Our results indicate that autonomic nervous system function may be estimated with the low-frequency component by measuring PRV with a pulse oximeter in patients with COPD.