Project

# Title Team Members TA Documents Sponsor
40 Bilateral Earlobe Pulse Timing Measurement Device
Joshua Joseph
Mark Schmitt
Zhikuan Zhang
Shiyuan Duan design_document1.pdf
other1.pdf
# Bilateral Earlobe Pulse Timing Measurement Device

# Team Members
Zhikuan Zhang (zhikuan2)
Joshua Joseph (jgj3)
Mark Schmitt (markfs2)


# Problem
Pulse transit time (PTT) is widely used as a non invasive indicator of cardiovascular dynamics but most existing systems measure PTT at a single peripheral location There is currently a lack of low cost synchronized hardware tools that enable bilateral pulse timing measurements such as comparing pulse arrival times between the left and right earlobes

Without a dedicated time synchronized multi channel sensing platform it is difficult to study or validate whether body posture head orientation or environmental conditions introduce measurable bilateral timing differences This project addresses the need for a custom PCB based physiological sensing device that can reliably acquire synchronized ECG and bilateral PPG signals and serve as a general purpose measurement tool for this under studied topic

# Solution
This project proposes a PCB based multi channel physiological sensing system consisting of one ECG channel placed near the chest and two PPG channels placed on the left and right earlobes The system is designed as a measurement and validation tool rather than a research discovery platform

The PCB focuses on low noise analog front end design precise time synchronization and multi channel data acquisition ECG R peaks are used as a timing reference and pulse arrival times from both PPG channels are compared under controlled conditions such as neutral posture head tilt or side lying

# Solution Components

## Subsystem 1 ECG Analog Front End
Function Acquire a clean ECG signal to provide a reliable cardiac timing reference

Components
Instrumentation amplifier such as AD8232 or equivalent ECG analog front end
Analog high pass and low pass filtering stages
Driven right leg circuit for common mode noise reduction
Surface ECG electrodes

Output
Digitized ECG waveform with clearly detectable R peaks

## Subsystem 2 Dual PPG Sensing Channels
Function Measure pulse waveforms at the left and right earlobes simultaneously

Components
Two identical PPG sensors such as MAX30102 or discrete LED and photodiode design
Transimpedance amplifiers for photodiode current sensing
Anti aliasing filters
Optical shielding for ambient light rejection

Output
Two synchronized PPG waveforms suitable for pulse arrival time extraction

## Subsystem 3 Time Synchronized Data Acquisition and Control
Function Ensure accurate relative timing between ECG and both PPG channels

Design considerations
All channels are sampled by a single microcontroller ADC or synchronized ADCs
Shared clock source using a low ppm crystal oscillator
Hardware level timestamping of samples
Avoid reliance on BLE timing for synchronization BLE used only for data transfer if implemented

Components
Microcontroller such as STM32 or ESP32
Low drift crystal oscillator
Shared sampling clock architecture

# Criterion For Success

Requirement 1 ECG signal acquisition
Validation Clearly visible ECG waveform with identifiable R peaks Elevated heart rate observable after light exercise

Requirement 2 PPG signal acquisition for both earlobes
Validation Stable and repeatable PPG waveforms captured simultaneously from left and right earlobes

Requirement 3 Channel time synchronization
Validation Relative timing jitter between channels below predefined threshold such as less than 1 ms Consistent timing results across repeated measurements

Requirement 4 Bilateral pulse timing comparison
Validation ECG referenced pulse arrival times successfully computed for both earlobes under at least two different body conditions

# Scope and Complexity Justification
This project involves significant circuit level hardware design including low noise analog front ends synchronized multi channel data acquisition and mixed signal PCB integration The system complexity is appropriate for a senior design project and aligns with course expectations

The project is inspired by experience working as a research assistant in a biological sensing laboratory and is positioned as a hardware measurement tool rather than a research discovery platform

BusPlan

Aashish Kapur, Connor Lake, Scott Liu

BusPlan

Featured Project

# People

Scott Liu - sliu125

Connor Lake - crlake2

Aashish Kapur - askapur2

# Problem

Buses are scheduled inefficiently. Traditionally buses are scheduled in 10-30 minute intervals with no regard the the actual load of people at any given stop at a given time. This results in some buses being packed, and others empty.

# Solution Overview

Introducing the _BusPlan_: A network of smart detectors that actively survey the amount of people waiting at a bus stop to determine the ideal amount of buses at any given time and location.

To technically achieve this, the device will use a wifi chip to listen for probe requests from nearby wifi-devices (we assume to be closely correlated with the number of people). It will use a radio chip to mesh network with other nearby devices at other bus stops. For power the device will use a solar cell and Li-Ion battery.

With the existing mesh network, we also are considering hosting wifi at each deployed location. This might include media, advertisements, localized wifi (restricted to bus stops), weather forecasts, and much more.

# Solution Components

## Wifi Chip

- esp8266 to wake periodically and listen for wifi probe requests.

## Radio chip

- NRF24L01 chip to connect to nearby devices and send/receive data.

## Microcontroller

- Microcontroller (Atmel atmega328) to control the RF chip and the wifi chip. It also manages the caching and sending of data. After further research we may not need this microcontroller. We will attempt to use just the ens86606 chip and if we cannot successfully use the SPI interface, we will use the atmega as a middleman.

## Power Subsystem

- Solar panel that will convert solar power to electrical power

- Power regulator chip in charge of taking the power from the solar panel and charging a small battery with it

- Small Li-Ion battery to act as a buffer for shady moments and rainy days

## Software and Server

- Backend api to receive and store data in mongodb or mysql database

- Data visualization frontend

- Machine learning predictions (using LSTM model)

# Criteria for Success

- Successfully collect an accurate measurement of number of people at bus stops

- Use data to determine optimized bus deployment schedules.

- Use data to provide useful visualizations.

# Ethics and Safety

It is important to take into consideration the privacy aspect of users when collecting unique device tokens. We will make sure to follow the existing ethics guidelines established by IEEE and ACM.

There are several potential issues that might arise under very specific conditions: High temperature and harsh environment factors may make the Li-Ion batteries explode. Rainy or moist environments may lead to short-circuiting of the device.

We plan to address all these issues upon our project proposal.

# Competitors

https://www.accuware.com/products/locate-wifi-devices/

Accuware currently has a device that helps locate wifi devices. However our devices will be tailored for bus stops and the data will be formatted in a the most productive ways from the perspective of bus companies.