Wearable Limb Identification via Heartbeat Propagation Signals
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Solution Overview
Problem
Existing wearable devices, such as smart wristbands and smart watches, require users to manually input whether the device is being worn on the left or right hand, increasing operation time and deteriorating user experience due to cumbersome configuration processes.
Innovation Solution
The method and device utilize heartbeat propagation signals, specifically electrocardiographic and blood flow pulsation waveforms, to automatically identify whether a target limb is the left or right limb by measuring time differences between corresponding features in these signals, allowing for simplified configuration and improved user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input method is used to configure wearing part, then identification accuracy can be ensured, but operation time increases and user experience deteriorates
Solution Approach 1:
The system automatically identifies the wearing part by analyzing heartbeat propagation signals without requiring user intervention. The wearable device captures electrocardiographic and blood flow pulsation signals, processes them to determine left or right limb, and configures itself, thereby eliminating manual input operations while maintaining accurate identification.
Solution Approach 2:
The manual mechanical input process (user typing or selecting wearing part information) is replaced by an automated physiological signal detection system. The system uses sensors to capture heartbeat propagation signals and automatically processes this data to determine wearing part, substituting the mechanical interaction with an automated sensing and processing mechanism.
2Measurement precision
If manual configuration process is implemented, then device can obtain accurate wearing part information, but configuration complexity increases
Solution Approach 1:
The device automatically performs the configuration task by detecting and analyzing its own physiological signals. The system captures electrocardiographic and blood flow pulsation signals from the user's limb, processes these signals to identify whether it is worn on the left or right limb, and completes the configuration without external intervention, thereby simplifying the configuration process while ensuring accurate information acquisition.
Solution Approach 2:
The complex manual configuration process is extracted and replaced by a dedicated automated identification module that specifically handles wearing part detection. This module separately processes electrocardiographic and blood flow pulsation signals to determine wearing part information, isolating this function from the overall device operation and simplifying the user-facing configuration process.
3Loss of time
If automatic identification using heartbeat propagation signals is implemented, then operation time is reduced and user experience is improved, but measurement and detection difficulty increases
Solution Approach 1:
The wearable device integrates multiple sensing functions into a single system that simultaneously captures both electrocardiographic signals and blood flow pulsation signals. This multi-functional approach allows the device to collect diverse physiological data through unified sensor modules, processing mechanisms, and data analysis routines, thereby managing detection complexity through integrated design while enabling automatic wearing part identification.
Solution Approach 2:
The system uses intermediate processing steps to bridge the gap between raw heartbeat signal detection and wearing part identification. The electrocardiographic and blood flow pulsation signals serve as intermediary measurements that contain embedded information about limb identity. By analyzing characteristics of these intermediate signals (such as propagation timing and waveform patterns), the system indirectly determines wearing part without requiring direct measurement of limb identity.
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
This approach enables automatic identification of left and right limbs, streamlining device setup and enhancing user experience by eliminating the need for manual input, thus reducing operation time and improving overall usability.
Implementation Method 1
acquiring a first heartbeat propagation signal and a second heartbeat propagation signal separately from a target limb of a body
Implementation Method 2
specifically electrocardiographic and blood flow pulsation waveforms
Data Source
AI summary
This application provides an identification method and device, and relates to the field of wearable devices. The method comprises: acquiring a first heartbeat propagation signal and a second heartbeat propagation signal separately from a target limb of a body; and identifying whether the target limb is a left limb or a right limb at least according to the first heartbeat propagation signal and the second heartbeat propagation signal. The method and device can implement automatic identification of left and right limbs, simplify configuration steps, and improve user experience.