AI Pacemaker Rate Modulation for Blood Pressure Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current pacemakers fail to optimally adjust heart rate modulation based on blood pressure and peripheral resistance, leading to inadequate exercise performance and potential drops in blood pressure in patients with drug-resistant hypertension and diastolic heart failure.
Innovation Solution
The PressurePace algorithm integrates internal and external sensor data, patient reports, and artificial intelligence to continuously adjust pacemaker rate modulation, optimizing heart rate based on blood pressure, peripheral resistance, and other physiological parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pacemaker rate modulation is increased to improve exercise performance, then exercise tolerance improves, but blood pressure may drop excessively
Solution Approach 1:
The pacemaker incorporates blood pressure sensing capability that provides real-time feedback to the control system. When blood pressure drops below a threshold during exercise, the system automatically reduces pacing rate modulation to prevent excessive blood pressure decline, thereby resolving the contradiction between improving exercise tolerance and maintaining blood pressure stability
Solution Approach 2:
The pacemaker dynamically adjusts rate modulation parameters based on real-time blood pressure measurements and exercise intensity detection. The system transitions from static, pre-programmed rate modulation to dynamic, physiology-based adjustment, allowing optimal balance between exercise performance and blood pressure maintenance across varying activity levels
2Reliability
If empirical adjustments are made to rate modulation parameters, then individual patient optimization is achieved, but the process is time-consuming and requires multiple practitioner visits
Solution Approach 1:
The pacemaker enables patients to self-adjust rate modulation parameters through a user interface that allows modification of pacing settings based on symptom feedback. This eliminates the need for multiple practitioner visits for empirical tuning, as patients can independently optimize their own therapy parameters between clinical appointments
Solution Approach 2:
The system replaces the mechanical process of manual parameter adjustment by practitioners with an automated, patient-controlled electronic interface. The pacemaker's microprocessor and communication module enable remote programming and self-adjustment, substituting the time-intensive manual tuning process with efficient electronic reconfiguration
3Measurement precision
If multiple sensor inputs are integrated for optimal rate modulation, then physiological control accuracy improves, but device complexity increases
Solution Approach 1:
The pacemaker employs a multi-functional sensor integration architecture where a single sensing module processes multiple physiological parameters (blood pressure, motion, respiration, heart rate) through unified signal processing circuits. This universal approach allows accurate multi-parameter monitoring without proportionally increasing device complexity, as the same hardware platform handles diverse sensing functions
Data Source
AI summary
A pacemaker control system includes a pacemaker; a plurality of sensors which are internal to the pacemaker, a plurality of sensors which are external to the pacemaker, a circuit for entering patient reports; and a circuit for using artificial intelligence to process outputs from the plurality sensors internal and external to the pacemaker and from the circuit for entering patient reports, which are collectively identified as a labeled dataset, to reiteratsvely learn a function which determines the labeled dataset most likely to provide optimal pacemaker function for the patient. The means for using artificial intelligence comprises a database of archive outputs from the plurality sensors internal and external to the pacemaker and from the means for entering patient reports for the patient used for optimization of rate modulation to intelligently, continuously and physiologically control the pacemaker.