Wearable Bowel Tracking with Passive Motion and Light Detection
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Solution Overview
Problem
Current methods for tracking stool frequency in patients with gastrointestinal disorders are plagued by recall bias and inaccuracy, placing a heavy cognitive load on patients and healthcare providers, and are often not obtained contemporaneously.
Innovation Solution
A wearable device equipped with an accelerometer and light sensor to detect sitting positions and undressing, combined with a transmitter to communicate with an external device, captures stool frequency data passively and transmits it to a smartphone or smartwatch for processing and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patients manually track stool frequency in written diaries, then data can be collected, but recall bias and inaccuracy increase while cognitive load on patients increases
Solution Approach 1:
The wearable device automatically detects bowel movements using accelerometer and light sensor data without requiring patient intervention. The system serves itself by autonomously monitoring physiological signals (changes in acceleration patterns and light exposure when lower body is undressed) and generating stool frequency records, eliminating the need for patients to manually track and remember bowel movement events.
Solution Approach 2:
The patent replaces the mechanical/manual system of written diary tracking with an automated electronic sensing system. Accelerometers detect characteristic movement patterns associated with bowel movements, while light sensors detect when the lower body is undressed, substituting human memory and manual recording with objective sensor-based detection.
2Loss of information
If patients complete stool frequency diaries prior to appointments, then data is captured, but the data is not obtained contemporaneously and recall bias increases
Solution Approach 1:
The wearable device continuously monitors and pre-captures bowel movement events as they occur throughout the monitoring period. By proactively detecting and recording each bowel movement in real-time using accelerometer patterns and light sensor data, the system ensures data is captured contemporaneously rather than relying on retrospective patient reporting at the end of the monitoring period.
Solution Approach 2:
The system maintains continuous monitoring of bowel movement events throughout the entire monitoring period without interruption. The accelerometer and light sensor operate continuously, ensuring that every bowel movement is detected and recorded in real-time, eliminating gaps in data collection that occur with manual diary completion only at appointment times.
3Measurement precision
If inpatient nurses manually capture stool frequency data, then data can be obtained, but accuracy remains compromised due to heavy workload and lack of automated monitoring
Solution Approach 1:
The patent replaces manual nursing observation and documentation with an automated sensor-based monitoring system. Accelerometers detect characteristic movement patterns of bowel movements, and light sensors detect when the lower body is undressed, providing objective, continuous measurement that eliminates human error and workload constraints while reducing the need for complex manual tracking protocols.
Solution Approach 2:
The monitoring system autonomously detects and records bowel movement events without requiring nursing intervention. The wearable device self-monitors physiological signals, automatically generates records, and transmits data to the central system, freeing nursing staff from manual data collection tasks while maintaining high measurement accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides accurate, precise, and passive monitoring of bowel habits, reducing recall bias and enhancing data fidelity, with features like just-in-time ecological momentary assessments, improving the evaluation of gastrointestinal disease activity and therapeutic efficacy.
Implementation Method 1
an accelerometer configured to detect changes in positions of the user wearing the wearable device
Implementation Method 2
a light sensor configured to detect changes in intensities of light
Data Source
AI summary
Bowel tracker systems including a wearable device and an app installed on a mobile device wirelessly connected to the wearable device, and methods of monitoring bowel habits of a subject by a bowel tracker system are provided. A wearable device to be worn by a user includes an accelerometer configured to detect changes in positions of the user wearing the wearable device; a light sensor configured to detect changes in intensities of light; and a transmitter configured to communicate with an external device. The wearable device detects when the user is sitting with the user's lower body undressed based on the changes detected by the accelerometer and light sensor; captures stool frequency data based on the detected sitting by the user; and transmits the captured stool frequency data to the external device. A mobile app installed on the external device records the log of the stool frequency data.