#3-axis accelerometer

[addohaislam2000]

3-axis accelerometer, Accelerometer sensor application, vibration sensors

LIS2MDL Series 3.6V 50 Hz High Performance 3-Axis Digital Magnetic Sensor-LGA-12

[dnny2nile]

https://www.futureelectronics.com/p/semiconductors--analog--sensors--accelerometers/lis2mdltr-stmicroelectronics-5090146

3-Axis Digital Magnetic Sensor, 3 axis accelerometers, Mems accelerometers

LIS2MDL Series 3.6V 50 Hz High Performance 3-Axis Digital Magnetic Sensor-LGA-12

[bizarremachinist]

Capstone #6: Solid

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CAD is nearly done, and the design is 95% there. There's still some improvements to be made. Big 'ol hand to our CAD team especially for bringing this to life. Lets explore under the cut

There's 2 main parts of this thing. The main body has the fans and wheels. The gantry on top does all the doodling. Let's pop the top off.

The cover and walls are purely aesthetic and keeps the dust out. Originally the cover is held on using snap buttons, but that's been changed to the tiniest magnets pocket change can buy. The base plate is made from thin wood, or we've been exploring carbon fiber (but that's proven to be mad expensive for basically no gain. Like 400+$ expensive).

The wheels are servos, the fans sit side by side and run off wall outlet power. (Try making these drone motors that normally run off batteries, and make them run off a wall outlet. Sounds easy right? Good luck. It's been a time doing it. They eat something like 12-16v at 40-60+ amps... *each*). It's got tiny nubs on the bottom to stabilize it, because with only 2 wheels, it's going to want to rock side to side. It'll have some distance sensors on the sides to find where it is on the wall, and an accelerometer to find how it's tilted. I'm personally a little worried the vibrations from the fans will make the accelerometer unreliable, but we'll find out about that later. The whole thing will be controlled by an Arduino Mega.

Smooving over to the gantry, both axis will be on rails purchased from Igus. The rails are made from hard anodized aluminum, while the carriages are made from diecast zinc and some slippery bearing plastic. It's then pulled around by timing belts and steppers. We modified both axis a tad by reducing the rail size to the smallest ones Igus offers, and giving the horizontal axis 2 rails for more stability (The bearing situation on the timing belts were improved too)

The printer head uses an electro-magnet to pull the pen down. There are guide pins with springs to, well, guide and spring return the head. There are also stop screws that set the maximum engagement and disengagement. (The travel distance is kinda exaggerated here tho. The actual travel distance will be as little as possible. Like 3-4mm)

All in all, the bot body is something like 300 x 500mm, 60mm thick (+ 55mm for the fan tails), with a print area of 150 x 150mm. We've tried to cut as much weight as possible, and are looking at about 1.2kg or a little lighter than a small toaster

As a bonus pic, here's an early concept. This one uses a lead screw for the X, and a shaft and timing belt for the Y. If you're wondering what stops the axis from pivoting, it would have been some gibs located behind both axis. Commonly used on dovetails, a gib is when you intentionally design in a large gap between your mating surfaces, and shove a thin plate in there with setscrews to take up the slack. Look at the ways of basically any milling machine or lathe, and chances are you'll see one!

[addohaislam2000]

3 Axis Digital Accelerometer, accelerometer wireless, Accelerometer pedometer

2 x 2 x 1 mm 12 Bit ±2g/4g/8g/16g I2C/SPI 3 Axis Digital Accelerometer - LGA-12

[americangeophysicalunion]

Gaging an Underwater Waterfall

Dear AGU,  

Ground water venting from sublacustrine karst sinkholes in the Laurentian Great Lakes has unique properties: high dissolved salt (including sulfate) from wafting through Paleozoic marine evaporites, low oxygen due to microbial respiration during the long sub-terranean transit, and a low and steady millennium-average aboveground temperature of ~9oC. At the Middle Island Sinkhole (Lake Huron), groundwater that is denser than the overlying lake water fills the bottom of a ~23 m deep, 10 m wide bowl-shaped nearshore sinkhole. It then spills over the bowl’s sill at ~14 m into the amphitheater-like wider lake floor that is at ~ 25 m – a vertical drop of ~9 m – as an underwater waterfall! Here, the high-sulfur, low-oxygen waterfall – whose flow rate is yet to be quantified – nurtures a dynamic photo- and chemosynthetic microbial mat world. 

            To deepen our understanding of this underwater waterfall (other than the fun fact that divers could have fun sliding down the fall), we deployed 2 tilt-meters (Lowell Instruments TCM-1) equipped with a 3-axis accelerometer + magnetometer for continuously logging flow rate and direction: one at the edge of the sill and the other in the middle of the fall (inset) – already leaning in the direction of flow. Wonder what secrets the time-series data will reveal when we retrieve the tilt-meters next year: Is the flow steady or erratic? Do peak flows coincide with overland precipitation events? Are flow rate and mat growth in synch? How vulnerable are mat ecosystems to the vagaries of groundwater flux as the climate overhead changes?

— Phil Hartmeyer, NOAA-Ocean Exploration; Cassandra Sadler, Andi Yoxsimer, NOAA-Thunder Bay National Marine Sanctuary; Steve Ruberg, NOAA-Great Lakes Environmental Research Laboratory; Bopi Biddanda, GVSU-Annis Water Resources Institute, Michigan.

[quartz-components]

GY-511 module includes a 3-axis accelerometer and a 3-axis magnetometer. This sensor can measure the linear acceleration at full scales of ± 2 g / ± 4 g / ± 8 g / ± 16 g and magnetic fields at full scales of ± 1.3 / ± 1.9 / ± 2.5 / ± 4.0 / ± 4.7 / ± 5.6 / ± 8.1 Gauss. When you place this module in a magnetic field, according to the Lorentz law, a current is induced in its microscopic coil. The compass module converts this current to the differential voltage for each coordinate direction by calculating these voltages, you can calculate the magnetic field in each direction and obtain the geographic position. It communicates using I2C communication protocol and the voltage level required to power this device is 3V-5V. You can use it in DIY GPS system, accelerometer data acquisition system to be used in Vehicles etc.

[yuroochou]

Drones rely on gyroscopes, other sensors and systems to navigate in the air and maintain stable flight. Multiple sensors work together to enable drones to hover, accelerate and accurately change direction.

Three-axis gyroscopes measure angular velocity to determine the motion state of an object, also known as motion sensors. Drones need to rely on the gyroscope's angular velocity measurement capability to form a closed-loop control with the flight control system.

ER-3MG-043 is a three-axis gyroscope that collects real-time angular velocity data of the drone in three axes: pitch, roll and yaw.

It supports OEM customized development, has sufficient internal space, and is highly expandable. It supports OEM customized development, has ample internal space, and is highly expandable. It can be equipped with other sensors (such as accelerometers, barometers, and magnetometers) to greatly save device space, making it suitable for volume-sensitive scenarios.

[millenniumsemiconductors00]

Gyro Sensor: Everything You Need to Know About This Advanced Motion-Sensing Technology

Gyro sensors, also known as gyroscopic sensors or angular rate sensors, play a critical role in a wide range of modern technologies—from smartphones and gaming consoles to autonomous vehicles and industrial machinery. These sensors measure angular velocity, which allows systems to detect orientation, maintain balance, and track motion with remarkable precision. In this detailed guide, we delve deep into the workings, applications, and benefits of gyro sensors to provide you with a comprehensive understanding of their importance in today’s digital and mechanical world.

What Is a Gyro Sensor?

A gyro sensor is an electronic device that detects the rate of rotation around a particular axis. It helps systems determine orientation and rotational motion by using the principles of angular momentum. Unlike accelerometers that measure linear motion, gyro sensors are essential for sensing rotational dynamics.

There are several types of gyro sensors, including:

MEMS gyroscopes (Micro-Electro-Mechanical Systems)

Fiber optic gyroscopes

Ring laser gyroscopes

Vibrating structure gyroscopes

Each type has unique characteristics suitable for different applications, ranging from compact consumer electronics to high-precision aerospace systems.

How Do Gyro Sensors Work?

At the core of most modern gyro sensors, especially MEMS gyroscopes, is the principle of Coriolis Effect. When an object rotates, the Coriolis force is exerted on a vibrating structure inside the sensor. This force causes a change in the vibration direction, which the sensor interprets to calculate the angular velocity.

The steps involved in gyro sensor operation include:

A tiny mass inside the sensor vibrates at a consistent frequency.

When rotation occurs, the Coriolis force alters the path of the vibration.

This deviation is detected by capacitive or piezoelectric elements.

The sensor processes this data to determine angular speed.

Key Features of a Gyro Sensor

When choosing or designing a system with a gyro sensor, understanding its critical features is essential. The most notable features include:

High sensitivity to angular velocity changes

Low noise and drift for stable performance

Compact size and low power consumption, especially in MEMS versions

Wide operating temperature range

3-axis sensing capability for comprehensive motion tracking

These attributes make gyro sensors ideal for embedded systems and portable electronics, where both performance and space-saving designs are vital.

Applications of Gyro Sensors in Modern Technology

1. Smartphones and Tablets

Modern smartphones rely heavily on gyro sensors for functions such as:

Auto-rotation of the screen

Gesture-based control

Augmented reality (AR) and virtual reality (VR) features

Enhanced camera stabilization

Combined with accelerometers and magnetometers, gyroscopes form the foundation of Inertial Measurement Units (IMUs) used in mobile devices.

2. Automotive Industry

In vehicles, gyro sensors are pivotal for:

Electronic Stability Control (ESC)

Anti-lock Braking Systems (ABS)

Inertial navigation systems

Autonomous driving and Advanced Driver Assistance Systems (ADAS)

They ensure safety, enhance vehicle dynamics, and provide real-time feedback for intelligent driving systems.

3. Aerospace and Aviation

Precision and reliability are paramount in aerospace applications. Gyro sensors are used for:

Attitude and heading reference systems (AHRS)

Flight control and stabilization

Satellite orientation and navigation

Here, ring laser gyroscopes and fiber optic gyroscopes offer high precision with minimal drift over time.

4. Gaming and Virtual Reality

Gyro sensors have revolutionized the gaming industry by enabling:

Motion-sensing controllers

Head tracking in VR headsets

Realistic 3D movement simulations

This immersive experience is made possible through accurate real-time orientation detection.

5. Robotics and Drones

Autonomous robots and drones depend on gyroscopic feedback to:

Maintain balance

Navigate accurately in 3D space

Compensate for external disturbances like wind

Gyro sensors are integral to IMU-based navigation systems in UAVs and mobile robots.

Advantages of Using Gyro Sensors

Gyro sensors offer several advantages, making them indispensable across multiple sectors:

Real-time precision: Immediate detection of orientation changes

Compact and cost-effective: Especially true for MEMS gyroscopes

Reliable over time: High-end models maintain calibration and reduce drift

Integration-ready: Easily embedded in modern electronics

Their ability to work in conjunction with other sensors like accelerometers and magnetometers enhances the accuracy of orientation and positioning systems.

Challenges and Limitations of Gyro Sensors

While gyro sensors are versatile, they do come with limitations:

Sensor drift: Over time, small errors can accumulate, affecting long-term accuracy.

Temperature sensitivity: Extreme temperature changes can impact sensor performance.

Complex calibration: To maintain precision, especially in dynamic environments.

However, combining gyroscopes with other sensors in sensor fusion algorithms (e.g., Kalman filters) helps overcome these issues effectively.

Future Trends in Gyro Sensor Technology

The evolution of gyro sensors continues to push boundaries. Key trends include:

Miniaturization and integration: Smaller, more energy-efficient sensors are being developed for wearables and IoT devices.

Improved AI algorithms: Machine learning is enhancing sensor calibration and data interpretation.

Advanced fusion systems: Combining gyro data with GPS, cameras, and LiDAR for improved situational awareness in autonomous systems.

Quantum gyroscopes: A cutting-edge innovation that uses quantum mechanics to achieve ultra-high accuracy without external references.

These advancements ensure that gyro sensors will remain a cornerstone of technological progress in motion tracking and spatial awareness.

Choosing the Right Gyro Sensor for Your Application

Selecting the appropriate gyro sensor depends on your specific application needs. Consider the following criteria:

Precision required (e.g., consumer-grade vs. aerospace)

Cost constraints

Size and power requirements

Environmental conditions (e.g., shock, temperature, vibration)

Axis configuration (single-axis or tri-axis)

Understanding these factors ensures optimal performance and longevity of the motion detection system in your product.

Conclusion

Gyro sensor is a transformative components in today's motion-sensitive world. From enhancing user experience in smartphones to ensuring safety and precision in autonomous vehicles and aerospace, their role cannot be overstated. As innovation continues, the capabilities and applications of gyro sensors will expand, opening new doors in automation, robotics, and immersive digital experiences.

[howzitsa]

Huawei Watch Fit 2 Midnight Black 1.74-inch HUAWEI FullView Display | Bluetooth Calling | Durable Battery Life Dimensions: 46 × 33.5 × 10.8 mm *Product size, product weight, and related specifications are theoretical values only. Actual measurements between individual products may vary. All specifications are subject to the actual product. Wrist Size: Active Edition: 130 – 210 mm Classic Edition: 140 – 210 mm Weight: Active Edition: Approximately 26 g (strap excluded) Classic Edition: Approximately 30 g (strap excluded) *Product size, product weight, and related specifications are theoretical values only. Actual measurements between individual products may vary. All specifications are subject to the actual product. Display: Size: 1.74 inches AMOLED color screen Resolution: 336 × 480 pixels, PPI 336 Watch Case Active Edition Material Front case: polymer Rear Case: polymer Classic Edition Material Front case: aluminum Rear case: polymer Watch Strap Active Edition Midnight Black Silicone Strap Sakura Pink Silicone Strap Isle Blue Silicone Strap Classic Edition Nebula Gray Leather Strap Moon White Leather Strap Sensors 9-axis IMU sensor (Accelerometer sensor, Gyroscope sensor, Geomagnetic sensor) Optical heart rate sensor Button Full screen touch, side button Charging Port Magnetic charging thimble System Requirements Android 6.0 or later iOS 9.0 or later Waterproof Level 5 ATM water-resistant *Devices complying with the 5 ATM-rated water have a water resistance rating of 50 meters under ISO standard 22810:2010. This means that they may be used for shallow-water activities like swimming in a pool or ocean. However, they should not be used for scuba diving, waterskiing, or other activities involving high-velocity water or submersion below shallow depth. For details of waterproof precautions, please refer to: https://consumer.huawei.com/za/support/how-to/newbie-guide/en-us00738723 Connectivity Active Edition NFC Not Supported Bluetooth 2.4 GHz, supports BT5.2 and BR+BLE Classic Edition NFC Supported Bluetooth 2.4 GHz, supports BT5.2 and BR+BLE Microphone: Supported Environment Ambient Operating Temperature: -10 ℃ – +45 ℃ Charging Charger Voltage and Current Requirements 5V/1A Battery Life Typical usage: 14 days Default settings are used, 30 minutes of Bluetooth calling per week, 30 minutes of audio playback per week, heart rate monitoring and sleep tracking are enabled, 30 minutes of exercise per week, message notification is enabled (50 SMS messages, 6 calls, and 3 alarms per day), and the screen is turned on 200 times per day. Heavy usage: 7 days Default settings are used, 30 minutes of Bluetooth calling per week, 30 minutes of audio playback per week, heart rate monitoring and HUAWEI TruSleep™ are enabled, 60 minutes of exercise per week, message notification is enabled (50 SMS messages, 6 calls, and 3 alarms per day), and the screen is turned on 500 times per day. *Based on results from HUAWEI lab tests. The actual usage may vary depending on product differences, user habits, and environment variables. Speaker: Supported In The Box Watch × 1 Charging Cradle (including the charging cable) × 1 Quick Start Guide & Safety Information & Warranty Card × 1 *The preceding specifications are theoretical values based on product design. To provide accurate product information, specifications, and features, HUAWEI may make real-time adjustments to the preceding specifications, so that they match the product performance, specifications, indexes, and components of the actual product. Product information is subject to such changes and adjustments without notice.

[functional-movementpatterns]

Sure! Here's a human-like, engaging blog post on "Wearable Fitness Trackers", with headings, persuasive tone, and detailed information. Total character count: approx. 2400 characters.

Track Your Way to Better Health with Wearable Fitness Trackers

In today’s fast-paced world, staying on top of your health can feel like a challenge. But what if you had a personal health assistant on your wrist? That’s exactly what wearable fitness trackers offer �� real-time, 24/7 monitoring to help you stay active, focused, and in control of your wellness journey.

Let’s break down the key components that make these gadgets more than just trendy accessories. Here's what powers your progress:

1. Accelerometer

The heart of movement tracking, the accelerometer detects motion and orientation in 3D space. It counts your steps, monitors your sleep cycles, and gauges overall activity levels. Most fitness trackers use a 3-axis accelerometer to provide accurate data throughout your day.

Dosage: Always on — you wear it, and it works in the background to collect and analyze your movement data.

2. Heart Rate Sensor

Using photoplethysmography (PPG) technology, this sensor measures your heart rate by shining a light into your skin to detect blood flow changes. It helps track your resting heart rate, workout intensity, and even stress levels.

Dosage: Continuously monitors at rest and during activity — with peaks during cardio workouts.

3. GPS Module

For those who love running or cycling outdoors, the GPS module tracks distance, speed, and routes in real-time. Whether you're mapping your morning jog or planning a hike, this feature keeps your performance stats accurate.

Dosage: Activated during outdoor activities — minimal battery usage when off.

4. Sleep Tracker

Sleep is a cornerstone of health. The sleep tracker combines accelerometer and heart rate data to analyze your sleep stages — light, deep, and REM. This helps you understand your sleep quality and make adjustments to improve rest and recovery.

Dosage: Works automatically during nighttime or sleep mode.

5. Blood Oxygen Sensor (SpO2)

The SpO2 sensor monitors your blood oxygen saturation — a vital sign of respiratory health. It’s especially useful during workouts or at high altitudes and can even help detect signs of sleep apnea.

Dosage: Spot checks or nightly tracking, depending on the model.

Why You Should Get One Today

Stay Motivated: Set goals, celebrate milestones, and compete with friends.

Live Healthier: Monitor your progress and adapt your habits accordingly.

Peace of Mind: Track vitals that help detect early signs of stress, fatigue, or illness.

Final Thoughts

A wearable fitness tracker is more than a gadget — it’s your smart, silent coach. Whether you're a beginner trying to walk more or a fitness enthusiast aiming to optimize performance, there's a tracker for you.

Invest in your health — strap on a tracker and let every step count. 🏃‍♂️💓⌚

Want help choosing the right tracker? Drop a comment below or contact us — we’re happy to guide you!

"Want to stay informed? Visit our website for the latest news and updates on this subject."

[christanworkshop]

Building Custom HomeKit Devices

Have you ever caught yourself thinking, “I wish there was a HomeKit device that could do this…”? Yeah, same here. For me, it was wishing my washer-dryer could send a notification when the laundry’s done. See, it’s out in the yard—so if you’re chilling in the living room with the TV on, you’d never hear the washing machine’s faint beep of completion.

Luckily, I had a few ESP32s and sensors collecting dust in a drawer, so I thought: Why not build one myself? With a little help from AI, of course. I’ve been bouncing between Gemini 2.5 Pro, Grok, and ChatGPT, and they’ve been surprisingly great sidekicks. Sure, I could’ve sat down and studied all the libraries and frameworks properly—it might’ve taken me a couple of days tops (I’ve been around the programming and electronics block a few times). But thanks to AI, I hacked together a working prototype in just a few hours.

Now, this isn’t a tutorial—that’s coming soon once I’ve fine-tuned everything and properly tested my DIY HomeKit setup. This is more of a quick peek behind the curtain. A little show and tell.

For the build, I used an ESP32-S3 WROOM-1 (N16R8) and an MPU6050 3-axis accelerometer. Total cost? Around 7 bucks. Hooking up the sensor via I2C was simple enough. When any of the AIs got confused or hit a wall, I just tag-teamed between them until I got what I needed.

And here’s the result after just a few hours of tinkering—Apple’s Home app picked up my custom HomeKit device without a hitch. The best part? Seeing “ChrisTan Workshop” proudly listed as the manufacturer. Cracked me up. Nothing like a bit of DIY flair baked right into the Home app!

Here’s a quick rundown of how the magic works: the MPU6050 accelerometer monitors for vibrations. If it detects continuous movement for more than 20 seconds, we assume the washing machine is doing its thing and mark it as “running.” Once it stays still for over 3 minutes, we take that as a sign that the laundry’s done. These timings—and a few other parameters—are all configurable. I’m still fine-tuning them to match the quirks of my Electrolux washer dryer.

One of the trickier parts (and where all the AIs struggled a bit) was figuring out how to send a proper HomeKit notification. After some back-and-forth, we found a clever workaround: register the device as a doorbell. That way, when the laundry finishes, my HomePod mini chimes and a notification pops up like someone’s at the door. Not exactly elegant, but hey—it works! I just wish HomeKit gave us more flexibility with custom notifications, but I get it… Apple’s probably trying to prevent spammy alerts from rogue accessories.

That’s it for now. Eventually, I want to make this whole thing easily user-configurable—no coding required. But for the moment, a few parts are still hard-coded under the hood.

[lansitec]

LoRaWAN Smart Card Badges Tracker | Construction Worker Tracking

Achieve seamless personnel and asset tracking with the Lansitec Badge Tracker. Combining GNSS, Bluetooth 5.0, and LoRaWAN technology, this sleek device provides accurate real-time positioning both indoors and outdoors—perfect for managing workforce, visitors, and critical assets across large facilities. The built-in 3-axis accelerometer intelligently detects movement or falls, conserving battery when the device is idle and alerting you to unauthorized or emergency situations. With a maximum of five months standby time and no additional network fees, the Badge Tracker offers a cost-effective, high-precision solution for securing sensitive areas, optimizing resource usage, and improving operational workflows.

For More visit our site:

[nursingwriter]

¶ … Childhood Trauma and Risk for Chronic Fatigue Syndrome: Association with Neuroendocrine Dysfunction." Heim, C., Nater, U.M., Maloney, E., Boneva, R., Jones, J.F., & Reeves, W.C. What did the researchers want the study to determine? The researchers wanted to determine if there was a correlation between childhood trauma and the eventual development of chronic fatigue syndrome (CFS) by examining neuroscience and looking for evidence related to the pathophysiology of the disease. Health Outcome of Interest: What health condition did the researchers study? The researchers studied chronic fatigue syndrome. Exposure(s) of Interest: What factors did the researchers investigate to determine an association with the outcome listed above? There may be more than one. Researchers looked at patients with childhood trauma and those with CFS. They looked at the neuroendocrine system including the hypothalamic-pituitary-adrenal axis and other neurodendocrine dysfunctions. 5. Participants: Whom did the researchers study? How many? 113 patients with CFS and 124 control patients were surveyed from a population of 19,381 Georgian resident adults. 6. Study design: What type of epidemiological study design -- observational or experimental -- does the study describe? Why? This was an experimental study in that measurements of saliva were taken but also observational based upon the surveys returned by the patients. 7. Type(s)/Method(s) of Data Collection: What type(s) or method(s) were used to collect the data for the study? (E.g. questionnaire, medical records) The study was a survey where participants either with or without CFS were questioned about their current lives as well as past traumas they experienced. This was coupled with examination of the individuals' endocrine systems including taking samples of salvia and testing for cortisol. 8. Results/Main Findings of Study: What were the results of the study? What were the conclusions of the researchers? Researchers found that those with CFS largely reported having experienced childhood trauma. At the same time, children with concurrent trauma were found to be more likely to develop the condition due to developmental issues relating to the endocrine system. Article 2 "Effect of Impact Exercise on Bone Metabolism." Vainionpaa, A., Korpelainen, R., Vaananen, H., Haapalahti, J., Jamsa, T., & Leppaluoto, J. 2. Research Question: What did the researchers want the study to determine? The researchers wanted to investigate what were the long-term effects of high-impact exercise in patients with bone turnover and calciotropic hormones. 3. Health Outcome of Interest: What health condition did the researchers study? The patients investigated were dealing with bone metabolism related to being premenopausal. 4. Exposure(s) of Interest: What factors did the researchers investigate to determine an association with the outcome listed above? There may be more than one. Factors investigated in the research were turnover markers PINP or TRACP5b. They also looked at low scrum basal PTH levels during and after high-impact exercise. 5. Participants: Whom did the researchers study? How many? The researchers used 120 women who were randomly assigned to either an exercise group or a control group. 6. Study design: What type of epidemiological study design -- observational or experimental -- does the study describe? Why? The study was largely observational because the researchers used data gathered from meters including examination of the bone markers and calciotropic hormones. 7. Type(s)/Method(s) of Data Collection: What type(s) or method(s) were used to collect the data for the study? (E.g. questionnaire, medical records) The researchers used an accelerometer to measure the daily impact and ensure a mean was found. From there, researchers looked at bone turnover markers at the start of the experiment, at the 6-month mark and then at the end of the year-long study. 8. Results/Main Findings of Study: What were the results of the study? What were the conclusions of the researchers? Researchers were unable to determine if there was any effect on treatment of patients in the bone turnover markers tested. There was a noted difference in scrum basal PTH levels which leads researchers to conclude that continuous body training will achieve the best bone benefits. Works Cited Heim, C., Nater, U.M., Maloney, E., Boneva, R., Jones, J.F., & Reeves, W.C. (2009). Childhood trauma and risk for chronic fatigue syndrome: association with neuroendocrine dysfunction. Archives of General Psychiatry. 66(1), 72-80. Retrieved from http://proquest.umi.com.ezp.waldenulibrary.org/pqdweb?index=1&did=1638100591&SrchMode=1&sid=1&Fmt=3&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1259947230&clientId=70192 Vainionpaa, A., Korpelainen, R., Vaananen, H., Haapalahti, J., Jamsa, T., & Leppaluoto, J. (2009). Effect of impact exercise on bone metabolism. Osteoporosis International, 20(10), 1725 -- 1733. Retrieved from: http://proquest.umi.com.ezp.waldenulibrary.org/pqdweb?did=1853287521&sid=15&Fmt=6&clientId=70192&RQT=309&VName=PQD Read the full article