For a distributor reviewing senior pet products for 2027, an accurate reading is no longer enough. The more important question is: where, when and under what conditions was that reading collected?
A heart-rate value recorded during a veterinary appointment, a resting measurement taken at home and a six-month individual trend are not interchangeable forms of evidence. Each can be useful, but each answers a different question.
This distinction matters as more senior pet products incorporate health monitoring, wellness reporting and connected-care features. Suppliers may present impressive dashboards or individual measurements, but buyers need to determine whether those numbers preserve enough context to support responsible interpretation.
The relevant procurement issue is not whether home monitoring can replace the clinic. It cannot. The issue is whether a single clinic measurement can represent an animal’s normal baseline. In many cases, it cannot do that either.
A Clinic Measurement Is Clinically Valuable—but It Is Still a Snapshot
Veterinary examinations remain essential for physical assessment, diagnosis, imaging and treatment decisions. But the consultation environment can influence some of the physiological measurements taken there.
A study published in the Journal of Feline Medicine and Surgery compared 30 apparently healthy cats measured at home and later the same day at a veterinary hospital.
The differences were significant:
- Median heart rate increased from 153 bpm at home to 190 bpm in hospital.
- Median respiratory rate increased from 50 to 58 breaths per minute.
- Median systolic blood pressure increased from 131 to 138 mmHg.
The study found statistically significant differences in blood pressure, heart rate and respiratory rate between the two environments. Its authors concluded that some apparent physiological abnormalities may result from transportation or environmental stress rather than medical illness.1
The study involved cats, not dogs, so it should not be used to estimate the size of the clinic effect in senior dogs. It does, however, demonstrate a principle that matters to connected pet care: the setting in which a measurement is taken forms part of the data.
The study also evaluated the hospital visit as a combined experience. It did not isolate the individual effects of transport, handling, restraint, unfamiliar surroundings or nearby animals. A supplier should therefore describe the finding as a measurement-context effect, not attribute a precise increase to any single source of stress.
For a channel buyer, the implication is straightforward. A number without its measurement context may be technically accurate while still being unrepresentative of the animal’s normal resting condition.
Progression Does Not Follow the Recheck Calendar
The limitation of an appointment is not simply that it is short. It is that chronic change occurs between appointments.
Cardiac disease affects approximately 10% of dogs seen in primary-care veterinary practice. Degenerative mitral valve disease is the most frequently reported acquired canine cardiac disease, accounting for about 75% of cases.2
A scheduled examination can show what is happening on the day of the visit. It cannot reconstruct the preceding weeks or reveal whether a value is stable, gradually shifting or unusual only for that particular dog.
This distinction becomes increasingly important in senior animals because the same reading can have different meanings in different contexts. Heart rate and respiratory rate vary with age, body size, breed, time of day, season, activity and health status. A value can sit inside a broad population reference range while still being meaningfully different from an individual animal’s established pattern.
That is the practical role of longitudinal home data: not to make a diagnosis, but to supply the missing timeline.
What Long-Term Home Data Adds
The 2025 AI-COLLAR study followed 703 apparently healthy dogs wearing a commercially available biometric tracker in their normal home environments. The median monitoring period was 189 days.2
The study showed that resting heart rate and respiratory rate were influenced by several factors that a single measurement cannot capture adequately:
- Both parameters changed with age, particularly during the first year of life.
- Both were significantly lower at night than during the day.
- Body weight and breed influenced the observed distributions.
- Heart rate and respiratory rate followed different seasonal patterns.
- Dogs with diagnosed diseases, including cardiac disease, had higher median resting values than the apparently healthy comparison group.
Among 533 apparently healthy adult dogs with both daytime and nighttime data, median resting heart rate was 61.3 bpm during the day and 58.3 bpm at night. Median resting respiratory rate was 17.4 breaths per minute during the day and 14.2 at night.
These are not large differences in isolation. Their importance is that they were systematic. Time of measurement changed the expected value even when the dog was at rest.
The seasonal analysis makes the same point. It included 121 adult, non-senior dogs in the Northern Hemisphere with at least ten consecutive months of qualifying data. Heart rate decreased during parts of the summer, while respiratory rate increased. Without a sufficiently long record, a normal seasonal shift could be mistaken for an individual deterioration—or an important change could be dismissed as normal variation.
The study therefore supports the value of repeated measurements collected under defined resting conditions. It does not establish that every detected change is clinically significant, and it does not show that a wearable can replace veterinary examination, ECG, echocardiography or Holter monitoring.
The device used in the study does not record cardiac electrical activity and was not intended to replace Holter monitoring for arrhythmia detection.2
Accuracy and Longitudinal Value Are Different Questions
The device used in the AI-COLLAR study had previously been evaluated against portable ECG for heart rate and video-based manual counting for respiratory rate. The paper reported earlier validation figures of 99.6% for resting heart rate and 98.6% for resting respiratory rate.23
Those figures describe measurement performance under the conditions assessed in the validation work. They should not automatically be transferred to another device, another algorithm or another species.
They also do not answer every question a distributor should ask.
A sensor may measure accurately when an animal is stationary, but the commercial system must still explain:
- How it identifies a valid resting period
- How it handles movement artefacts
- How much valid data is required
- How missing or irregular wear affects the trend
- Whether the algorithm performs consistently across body sizes, breeds and coat types
- Whether dogs and cats have been validated separately
- Whether software updates alter historical comparability
The AI-COLLAR study also deserves normal commercial scrutiny. Three of its authors were employees of Invoxia, the company that designed and marketed the device used in the research. The devices themselves were purchased by owners as part of normal consumer use, and the paper reported no external research funding.2
This does not invalidate the results. It reinforces why a buyer should examine the study design, population, endpoints and declared interests instead of treating “peer reviewed” as the end of the review process.
A Longitudinal Record Shows Change. It Does Not Prove Cause.
This is the most important boundary for a senior pet portfolio.
A longitudinal record can show that:
- A parameter changed
- The change persisted
- It occurred mainly at a particular time of day
- It differed from the animal’s earlier baseline
- It coincided with a change in routine, environment or product use
The record cannot, by itself, prove that a food, supplement or wellness product caused the change.
Product efficacy requires a different level of evidence: appropriate controls, defined endpoints, sufficient sample size, adherence data and consideration of factors such as medication, disease progression, activity, season and diet.
Distributors should therefore be cautious when a supplier presents a before-and-after graph as proof of efficacy. The first question should not be “Did the line improve?” It should be:
What else changed, how was the baseline established, and what evidence supports a causal interpretation?
Longitudinal data does not eliminate the need for product substantiation. Its value is that it preserves the context needed to investigate change more responsibly.
Three Data Sources, Three Different Jobs
| Data source | What it captures | Where it becomes insufficient |
|---|---|---|
| Veterinary examination | A trained clinical assessment supported by examination and diagnostic equipment | Represents a limited time window and may include a measurement-context effect |
| Owner observation | Behaviour, appetite, mobility and routine in the animal’s normal environment | Often subjective, irregular and difficult to compare over time |
| Continuous home monitoring | Repeated measurements under defined everyday conditions | Depends on validation, correct wear, data completeness and veterinary interpretation |
The strongest senior pet proposition does not ask one source to replace the others. It allows the sources to complement one another.
The clinic supplies clinical expertise. The owner supplies behavioural context. The longitudinal record supplies the timeline.
The Five Questions Buyers Should Ask for a 2027 Range Review
For distributors, wholesalers and retail groups, “provides continuous monitoring” is not a sufficient product specification. Suppliers should be able to answer five more precise questions.
1. Which Species and Measurements Have Been Validated?
A device that physically fits both dogs and cats has not necessarily been validated for both. Buyers should request the study population, reference method, testing conditions and performance of each claimed metric.
Validation belonging to another manufacturer’s device should never be presented as evidence for the supplier’s own product.
2. How Does the System Define a Resting Measurement?
The supplier should explain the minimum period of immobility, the role of posture and activity data, and how the system rejects measurements affected by movement.
Without this information, “resting heart rate” may be a marketing label rather than a reproducible measurement condition.
3. What Is Required to Establish an Individual Baseline?
A useful longitudinal system should specify:
- The number of qualifying days required
- The minimum amount of valid data per day
- How gaps in wear are treated
- Whether day and night are analysed separately
- How age, size, breed and season influence interpretation
A trend based on incomplete or selectively sampled data should not be given the same weight as a consistently collected record.
4. Can the Record Be Inspected and Exported?
Buyers should determine who owns the data and whether owners or veterinary professionals can access:
- Time-stamped measurements
- Trend summaries
- Wear and data-completeness information
- Relevant routine markers
- Algorithm or software versions
- Exportable records for professional review
A dashboard that cannot explain how its conclusion was produced is weaker than a record that preserves its provenance.
5. Where Does the Supplier Draw the Claim Boundary?
The supplier should distinguish clearly between:
- Recording a physiological parameter
- Identifying a change from an individual baseline
- Suggesting that professional review may be appropriate
- Diagnosing a condition
- Claiming that a product caused an improvement
These are not different ways of saying the same thing. They are different levels of evidence and regulatory risk.
Where KIYE Fits
KIYE’s relevant proposition is not that home monitoring replaces veterinary care, or that a changing curve proves a nutritional effect.
The intended role of the KIYE Smart Health Collar is to organize day-and-night monitoring into a longitudinal wellness record that can be reviewed alongside the animal’s routine and senior-care program. The system does not diagnose, treat, predict or prevent disease, and its data should be interpreted as an additional information layer rather than a clinical conclusion.
When the collar is paired with an AM/PM senior dog nutrition routine, the responsible objective is to preserve timing and routine context—not to assume causation from correlation.
For distributors, the value of an integrated system depends on whether that connection is real and inspectable. Monitoring and nutrition being sold by the same supplier is not enough. The system should demonstrate that:
- Both sides share a consistent timeline
- Product use can be recorded accurately
- Physiological and routine data remain distinguishable
- Records can be reviewed over an appropriate period
- Claims remain within the evidence the system actually provides
An integrated supplier may reduce operational fragmentation, but it should be evaluated against the same validation, transparency and data-portability standards as any combination of specialist suppliers.
The 2027 Decision Is About the Record Behind the Reading
A clinic measurement can be accurate and clinically valuable while still being unrepresentative of an animal’s everyday resting baseline. A home wearable can generate a detailed longitudinal record while still being unable to diagnose disease or prove that a wellness product caused a change.
Both statements can be true.
That is why the next senior pet range review should go beyond asking whether a product produces data. Buyers should ask whether the data carries its measurement conditions, its timeline, its limitations and a clear route to professional interpretation.
The strongest supplier will not be the one with the most dramatic dashboard or the longest list of claimed insights.
It will be the one that can explain where every important number came from—and what that number can and cannot prove.
Sources
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Quimby JM, Smith ML, Lunn KF.
“Evaluation of the effects of hospital visit stress on physiologic parameters in the cat.”
Journal of Feline Medicine and Surgery.
2011;13(10):733–737.
doi: 10.1016/j.jfms.2011.07.003
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Chetboul V, Humbert E, Dougoud L, Lorre G.
“Resting heart and respiratory rates in dogs in their natural environment: new insights from a long-term, international, prospective study in a cohort of 703 dogs using a biometric device for longitudinal non-invasive cardiorespiratory monitoring—the AI-COLLAR study.”
Frontiers in Veterinary Science.
2025;12:1667355.
doi: 10.3389/fvets.2025.1667355
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Jarkoff H, Lorre G, Humbert E.
“Assessing the accuracy of a smart collar for dogs: predictive performance for heart and breathing rates on a large-scale dataset.”
Cold Spring Harbor Laboratory.
2023.
doi: 10.1101/2023.06.09.544347
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Keene BW, Atkins CE, Bonagura JD, et al.
“ACVIM consensus guidelines for the diagnosis and treatment of myxomatous mitral valve disease in dogs.”
Journal of Veterinary Internal Medicine.
2019;33:1127–1140.
doi: 10.1111/jvim.15488
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