Peritoneal Dialysis Sleep-State Control for Adaptive Dwell Timing
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Solution Overview
Problem
Existing automated peritoneal dialysis systems do not adequately consider patient stress, fluid/caloric intake, and sleep patterns, leading to inefficient treatment prescriptions that do not align with the patient's lifestyle and well-being.
Innovation Solution
A peritoneal dialysis system that integrates sensors to measure stress, fluid intake, and sleep patterns, using algorithms to adjust treatment parameters such as pumping schedules, fluid composition, and alarm timing to optimize treatment based on patient data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated peritoneal dialysis systems use fixed treatment prescriptions, then treatment delivery is simple and reliable, but treatment effectiveness does not align with patient lifestyle and well-being
Solution Approach 1:
The treatment prescription transitions from a fixed static configuration to a dynamic one that automatically adjusts parameters such as pump rates, fluid volumes, and alarm timings based on real-time sensor data about patient sleep states, stress levels, and fluid intake, enabling the system to adapt to changing patient conditions without manual intervention
Solution Approach 2:
Multiple sensors continuously monitor patient parameters (sleep state, stress, fluid intake) and feed this information back to the control unit, which then modifies treatment parameters accordingly, creating a closed-loop system that personalizes therapy based on actual patient responses and lifestyle factors
2Reliability
If alarms are triggered during deep sleep periods, then patient safety is monitored, but patient sleep quality deteriorates
Solution Approach 1:
The system proactively identifies deep sleep periods using sensors before alarms need to be triggered, and pre-adjusts alarm timing to occur during lighter sleep phases or upon awakening, thereby maintaining safety monitoring while preventing sleep disruption through advance planning
Solution Approach 2:
The alarm function operates with different characteristics during different sleep states: during deep sleep, alarms are delayed or suppressed, while during lighter sleep or wakefulness, alarms are activated with full intensity, creating a localized response that matches patient needs at different times
3Productivity
If treatment parameters are adjusted frequently based on patient data, then treatment effectiveness improves, but system complexity increases
Solution Approach 1:
The system performs self-adjustment of treatment parameters using embedded algorithms that automatically process sensor data and modify pump rates, fluid volumes, and timing without requiring external clinician input for each adjustment, enabling frequent optimization while keeping the control interface simple
Data Source
AI summary
A peritoneal dialysis system includes a control unit configured to (i) store a sleep state pattern for the patient, (ii) begin a patient drain followed by a patient fill when at least one sensor indicates that the patient is in a deep sleep state, (iii) extend a dwell period if the sleep state pattern indicates that the patient will enter a subsequent deep sleep state within a first time duration after a programmed dwell period, and (iv) shorten the dwell period if the sleep state pattern indicates that the patient will leave the deep sleep state within a second time duration after an end of the programmed dwell period. The system alternatively or additionally assesses or records a stress level of and/or a fluid/caloric intake by the patient and takes actions accordingly.